Description:Title of The Invention
A SYSTEM OF HIGH-RISK PREGNANCY DETECTION USING ARTIFICIAL INTELLIGENCE
Field of the Invention
This invention relates to A system of High-Risk Pregnancy detection using Artificial Intelligence.
Background of the Invention
CN106650222A says that the invention discloses a pregnancy health state management method and device based on the Internet. The method comprises the following steps: during pregnancy preparation of a user, obtaining first health state by synchronizing pregnancy preparation basic information of the user at local; in a pregnancy process, obtaining a second health state by performing estimation in different pregnancy phases based on multilevel pregnancy high risk factor judgment conditions; collecting body consumption data of the user in the pregnancy process to obtain a corresponding nutrition equivalent value; uploading first inspection data of the user to obtain an infant body weight prediction value; obtaining a pregnant woman delivery mode evaluation weight value based on the multilevel pregnancy high risk factor judgment conditions; obtaining a third health state according to a delivery mode selected by the user based on the multilevel pregnancy high risk factor judgment conditions; and after the delivery of the user, obtaining a newborn health state based on multilevel newborn high risk factor evaluation options. By adoption of the management method provided by the invention, solutions can be provided for the user in multiple important phases of the pregnancy effectively, and guidance and suggestions are provided for the user.
Research Gap: Offering early intervention through analyzing various high risk pregnancy factors and medical conditions.
It provides personalized care plans based on the results of Pregnancy risk assessment score.
US10849549B2 says that the disclosed apparatus, systems and methods relate to tracking abdominal orientation and activity for purposes of preventing or treating conditions of pregnancy or other types of medical conditions. In certain specific embodiments, the system, device, or method relates to identifying abdominal orientation risk values, calculating and updating a cumulative risk value, comparing the cumulative risk value to a threshold, and outputting a warning when the cumulative risk value crosses the threshold.
Research Gap: By addressing concerns early and thoroughly, this procedure minimizes problems and also lowers the possibility of issues, which is advantageous for both the mother and the growing fetus.
This holistic maternal care system prioritizes the health, safety, and well-being of mothers thanks to the integration of risk assessment, AI insights, and emergency response.
The technology-driven method offers an Enhanced Healthcare Access because it expands healthcare access to remote or underdeveloped locations, helping pregnant people who might otherwise go without urgent medical attention.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to a system of High-Risk Pregnancy detection using Artificial Intelligence.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
Maternal health care, which includes medical services, support, and interventions intended to ensure the wellbeing of expecting mothers before, during, and after childbirth, is an essential component of healthcare systems. The issue becomes more challenging in remote areas because of the inaccessibility of the health services. Identification of high-risk pregnancy factors and medical conditions can provide a baseline data to ensure help and medical service with the technological intervention. The Pregnancy Risk Assessment Score (PRA-Score) is implemented after identifying high-risk pregnancy variables and medical disorders as part of the full solution. For healthcare professionals, integrating AI technology improves risk prediction and real-time decision assistance. The smartphone application's crucial SOS feature, which can activate geolocation mapping and sends instant notifications to the Community Health Centre and emergency contacts including family, nearby medical personnel, and ambulances, can be essential solution. This collaborative endeavor offers early intervention, individualized risk assessment, AI-driven insights, and quick emergency response to address the essential issue of fragmented maternity healthcare.
Disclosed a method for a high-risk pregnancy identification comprising the steps of: identifying high-risk pregnancy, determining PRA-Score and implementation, integrating AI with PRA-Score and SOS mechanism with geolocation feature through mobile application; providing a safer and technologically advanced journey of maternal health.
In another embodiment, A high-risk pregnancy identification mechanism through technological intervention comprises the comprehensive process includes high-risk pregnancy identification module (101), PRA-Score determination (102) and implementation (103) modules, AI integration with PRA-Score (104), and SOS mechanism (105) with geolocation feature through mobile application; provides a safer and technologically advanced journey of maternal health.
In another embodiment, system helps in identifying high risk pregnancy factors and medical conditions thus early intervention and personalized care is ensured.
In another embodiment, system, provides proactive risk management system that leads to effective decision-making regarding treatments.
In another embodiment, system strengthens comprehensive monitoring of all the pregnancy related complications thereby reinforces a rapid emergency response.
In another embodiment, system minimizes complications and provides a holistic maternal support through accessibility to healthcare facilities with technological intervention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1. High risk factors and medical conditions of pregnancy complications
Figure 2. AI-Analytics Using Pregnancy risk assessment score
Figure 3. SOS Mechanism with geolocation feature through mobile application
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
1. PREGNANCY COMLICATIONS
Medical illnesses known as pregnancy complications have the potential to affect both the pregnant woman and the foetus’s health. These problems can be modest to severe and result from a variety of underlying medical issues, among other things. Complications can be harmful because they put the health of the mother at risk. Additionally, they increase the chance of newborn problems and can have negative effects on the foetus. To reduce the possible risks linked to pregnancy problems, prompt discovery, appropriate medical therapy, and thorough prenatal care are essential. The pregnancy complications can be divided into two categories i.e., high risk pregnancy factors and high-risk medical conditions.
I. HIGH RISK PREGNANCY FACTORS
A variety of conditions and situations that can have a major negative influence on the health of the mother and foetus during pregnancy are classified as high-risk pregnancy factors. These variables operate as vital warning signs for medical professionals, assisting them in designing customized care plans to protect the health of both the pregnant woman and the growing foetus. Age of the mother is one of the main high-risk variables. Due to variables including lower fertility, an increased risk of genetic abnormalities, and an increased risk of illnesses like gestational diabetes and preeclampsia, advanced maternal age, which is commonly defined as 35 years and above, might raise the incidence of difficulties. Another issue that could cause problems is the occurrence of multiple pregnancies, such as twin or triplet pregnancies. Multiple pregnancy requires close monitoring and specialist care throughout the pregnancy due to the increased risk of premature birth, low birth weight, and hypertension. The risk is increased by previous pregnancy difficulties as well. People who have had preeclampsia, gestational diabetes, or premature labor in prior pregnancies are more likely to develop these diseases again in subsequent pregnancies. As a result, careful observation and targeted actions become crucial. Preterm labor, which is defined as contractions and cervical changes that cause labor to begin earlier than 37 weeks of pregnancy, can be extremely dangerous for both the mother and the unborn child. Premature births can cause developmental difficulties and health issues, which emphasizes the need for preventive management.
The risk of unfavourable pregnancy outcomes is considerably increased by substance use, which includes smoking, drinking alcohol, and using drugs. These chemicals call for an urgent end to use and thorough support because they can cause preterm delivery, low birth weight, developmental problems, and birth deformities. Preeclampsia, gestational diabetes, and birth abnormalities are just a few of the pregnancy issues that are associated to obesity and poor nutrition. To reduce these risks, it's important to keep a healthy weight and eat right. Miscarriage or stillbirth in the past can raise risk and anxiety in later pregnancies. To guarantee a successful pregnancy, people who have gone through such losses can need extra emotional support and medical care. Family histories and ethnic backgrounds can affect pregnancy risks. The health of the mother and the growth of the foetus may be affected by genetic predispositions to diseases like diabetes, hypertension, or genetic disorders. Because some medications may have negative effects on pregnancy, using certain medications might potentially be a high-risk factor. Pregnant people must speak with healthcare professionals about the safety of their medications and make any required modifications. Body Mass Index (BMI), a calculation of body fat based on height and weight, is crucial to the success of pregnancy. BMI levels can be related to hazards such preterm birth, gestational diabetes, and preeclampsia at both low and high levels. While facilitating pregnancies, assisted reproductive treatments like in vitro fertilization (IVF) can potentially raise risks because of things like multiple pregnancies.
By preventing early detection and action, poor prenatal care, which includes insufficient medical attention, postponed testing, and a lack of suitable advice, can dramatically increase the risk of problems. Basically, being aware of and comprehending these high-risk pregnancy indicators enables healthcare professionals to take a proactive stance. Medical providers may manage the complexity of high-risk pregnancies and improve outcomes for both the pregnant person and their unborn child by customizing care plans, giving prompt interventions, and offering emotional support.
II. HIGH RISK PREGNANCY MEDICAL CONDITIONS
To promote safe pregnancies and the best possible health for both the mother and the foetus, high-risk pregnancy medical conditions cover a range of health issues that call for watchful management. These ailments highlight the crucial part that healthcare professionals play in identifying and treating potential problems. If diabetes, a metabolic illness characterized by high blood sugar levels, is not well managed, it can cause difficulties during pregnancy. Preterm birth, preeclampsia, and birth abnormalities are all more likely among women who already have diabetes or who develop it during pregnancy. A successful outcome depends on meticulous blood sugar monitoring and adherence to medical advice. Preeclampsia, a dangerous disorder characterized by high blood pressure and organ damage such as liver and kidney, can develop when hypertension, or high blood pressure, worsens during pregnancy. To avoid difficulties for the mother and the unborn child, preeclampsia necessitates close observation. Due to the cardiovascular system's adaptation to the expanding demands of pregnancy, heart disease presents particular difficulties during pregnancy. To avoid stress on the heart and associated hazards to the foetus, women with heart issues need specific care. Due to their impact on the immune system, autoimmune diseases like lupus or rheumatoid arthritis might affect the success of pregnancies. The course of the autoimmune illness may be affected by pregnancy, exacerbating symptoms, demanding thorough coordination between obstetricians and experts. Epilepsy, a neurological condition marked by seizures, must be carefully managed during pregnancy to balance the health of the mother with any possible hazards to the unborn child.
To maintain safety and optimal health, medication changes and regular monitoring are essential. The conditions placenta previa and placental abruption deal with the placement and detachment of the placenta, respectively. Placenta previa is when the placenta covers the cervix, which could result in bleeding; placental abruption is when the placenta prematurely separates from the uterine wall, which can result in bleeding and possible fetal discomfort. To address these disorders and maintain the health of both mother and child, prompt medical care is crucial. Careful blood sugar level monitoring is necessary for gestational diabetes, a kind of diabetes that appears during pregnancy. It can lead to issues including macrosomia (big birth weight) and a higher risk of type 2 diabetes for both the mother and the child if it is not treated. Both urinary tract infections (UTIs) and sexually transmitted infections (STIs) can be harmful to a pregnant woman's health and the development of the fetus. Because diseases like HIV, syphilis, and hepatitis B can be passed from mother to fetus, early detection, treatment, and effective preventive measures are crucial. To ensure healthy thyroid hormone levels, thyroid diseases, such as hypothyroidism or hyperthyroidism, need to be monitored and managed. Imbalances can have an effect on foetal development and maternal health. Because impaired kidney function may impact the fluid and electrolyte balance during pregnancy, chronic kidney disease poses unique complications. To reduce the risk of blood clots during pregnancy, such as deep vein thrombosis (DVT), rigorous monitoring and preventive treatments are required. The importance of thorough medical treatment and close supervision is highlighted by high-risk pregnant medical problems. To ensure the greatest outcomes for the mother and the developing child, healthcare practitioners must identify and manage these diseases. Customized strategies, specific therapy, and coordinated care are essential to addressing the complex issues brought on by these illnesses during pregnancy.
2. PREGNANCY RISK ASSESSMENT SCORE (PRA-SCORE)
The Pregnancy Risk Assessment Score (PRA-SCORE), a dynamic numerical assessment, condenses complicated data on maternal health into a quantitative indicator. The PRA-SCORE method evaluates a variety of high-risk traits, attributes, and medical conditions to determine the possible risks associated with a pregnancy. The PRA-SCORE, which offers a standardized and easy-to-understand review of a pregnant person's health profile, assigns a specific value to each risk factor. With scores of 3, 2, and 1, respectively, the PRA scale can indicate good, average, and poor performance. With the use of this score, healthcare providers are better able to identify possible problems promptly and develop customized care plans. PRA-SCORE serves as a compass during pregnancy, guiding both medical professionals and expectant mothers in making informed choices. The accuracy and responsiveness of prenatal treatment are improved by its capacity to aggregate multiple data points into a single score. In terms of risk assessment, PRA-SCORE is a prime illustration of how modern technology and medical expertise may be combined to enhance maternal outcomes and healthier pregnancies.

3. AI ANALYTICS USING PRA-SCORE
The use of Pregnancy Risk Assessment Score (PRA-SCORE) data to improve the standard of prenatal care and overall outcomes offers great promise for artificial intelligence (AI). Through a wide range of applications created to address the complex demands of pregnant women, this combination of AI and PRA-SCORE ushers in a new era of proactive and individualized maternal healthcare. The Risk Prediction and Early Intervention paradigm serves as an example of how AI may make use of prior PRA-SCORE data to predict the possibility of probable risks or complications in upcoming pregnancies. Because of their enhanced foresight, healthcare professionals are better able to intervene early and design interventions that fit the risk profile of the patient. Through prompt, focused care plans, this not only reduces possible dangers but also improves mother and foetal wellbeing. The field of customized care plans has one of the most significant contributions. Utilizing the extensive PRA-SCORE dataset, AI may create individualized treatment plans that include a variety of components like suggested screenings, follow-up consultations, dietary modifications, and activity recommendations. These personalized programs are built around the person's propensity for risk, assuring accuracy in healthcare delivery and promoting the best possible pregnancies.

Real-Time Monitoring, made possible by wearables with integrated AI, is a significant advancement. These gadgets continuously monitor vital signs and important parameters, quickly spotting any outliers. Alerts are set out when anomalies appear, notifying medical experts who can swiftly intervene while reducing risk. The Decision Support System function of AI is at the core of its usefulness. AI provides healthcare providers with knowledgeable insights by combining PRA-SCORE data with current medical research and guidelines. By giving them the tools, they need to make decisions based on the best available information, this ensures that the best possible treatment is delivered in a timely and individualized manner. The transformative promise of AI extends to patient education, as it creates instructional materials that are unique to each expectant mothers PRA-SCORE data. AI-driven education promotes proactive engagement in managing one's health by demystifying risk factors and arming expectant mothers with knowledge, generating a sense of empowerment and control. Pregnant women may easily exchange PRA-SCORE data with CHC, because of the introduction of Remote Monitoring through AI-enabled applications and devices, which eliminates the need for long distance communication. For remote or underdeveloped locations in particular, this virtual connectivity removes obstacles, allowing frequent check-ins and lowering the need for frequent in-person visits. The ability of AI to identify trends is priceless. AI can identify new risk factors and understudied aspects of maternal healthcare by identifying patterns and trends in aggregated PRA-SCORE data across populations.
This provides information for strategic policy changes, promotes efficient resource allocation, and guarantees the healthcare system keeps up with changing difficulties. AI works best when combined with data integration and insights since it transforms everything. AI provides a comprehensive view of each patient's health through integration with electronic health records and relevant data sources. This all-encompassing perspective equips medical professionals to make well-rounded choices that are grounded in a thorough knowledge of the patient's medical situation. In a larger sense, artificial intelligence stimulates R&D activities. PRA-SCORE data that have been combined and anonymized are used in ground-breaking studies that reveal larger tendencies. This contribution enhances medical advancement and contributes to the body of knowledge by helping to create novel medical protocols and standards. The use of predictive analytics highlights the strategic value of AI. To build prediction models that foresee issues like preeclampsia or gestational diabetes, AI evaluates PRA-SCORE data. With the help of these models, healthcare professionals can adapt actions in advance to minimize risks and improve maternal health. Significantly, Continuous Learning is embodied in AI. AI models adapt and improve their predictions and suggestions as they come into contact with new PRA-SCORE data. By maintaining alignment between insights and the most recent knowledge, this recurrent learning loop increases the relevance and accuracy of insights over time. But it's crucial to keep in mind that the job of artificial intelligence in medicine is to supplement it, not to replace it. The integration of AI in healthcare must be built on a solid foundation of ethical considerations, data privacy, and patient permission. The prudent and efficient use of AI in PRA-SCORE data analysis is ensured by the collaborative synergy between AI specialists and medical practitioners, together with adherence to regulatory norms. In conclusion, the partnership between AI and PRA-SCORE exemplifies how data-driven accuracy and compassionate healthcare work together. With the help of this combination, risk assessment, decision-making, remote monitoring, and research in maternal healthcare are revolutionized. The result is a comprehensive, proactive, and individualized approach that aims to promote healthier pregnancies.
4. SOS MECHANISM WITH GEOLOCATION FEATURE THROUGH MOBILE APPLICATION
A crucial and potentially life-saving component of the program is the SOS button, which ensures quick response and assistance in emergency situations. This SOS button, when touched or engaged, sets off a series of carefully planned events that respond immediately to the user's urgent demands. The first step of the procedure is for the app to use geolocation mapping services to identify the precise location of the troubled person. This accuracy is crucial since it enables effective aid deployment to the user's specific coordinates. A simultaneous alarm is issued to the Community Health Centre (CHC), informing the medical staff and emergency personnel in case of the emergency. By bridging the gap between the distressed user and medical aid, this quick connection speeds up the provision of life-saving care. The SOS button sends alerts to a user-configured network of emergency contacts in addition to notifying the CHC, Family members, local ASHA employees, ANMs (Auxiliary Nurse Midwives), and even ambulance services are some of these interactions.
This extensive network makes sure that the distress signal reaches the people who are most directly responsible for the user's safety and well-being. Family members are instantly informed, enabling them to react and, if possible, provide immediate aid. Local ASHA employees and ANMs who are knowledgeable in community-based healthcare can provide immediate assistance or communicate with medical specialists as required.
Ambulance services being part of the notification chain also ensures prompt access to medical facilities when needed. Technology and human involvement work together to construct a powerful safety net for people in need. The SOS button acts as an immediate lifeline that enables users to request assistance in urgent circumstances. This feature encompasses a comprehensive emergency response mechanism by integrating geolocation services, instant notifications to the CHC, emergency contacts, and medical responders. In isolated or neglected locations where, prompt medical care is not always easily accessible, such a method is essential. In the end, the SOS button serves as an example of how technology has the potential to close geographic gaps, quicken reaction times, and even save lives in the field of healthcare service provision. In order to address this extremely pressing issue in maternal healthcare, a complex web of solutions, starting with the identification of high-risk factors and medical conditions, Pregnancy Risk Assessment Score (PRAS), the integration of AI technology, and culminating in the SOS mechanism through a mobile app, has been developed.
ADVANTAGES OF THE INVENTION:
• Early Intervention by the process of Identification of high-risk factors combined with PRA-SCORE enables early detection of potential complications, allowing for timely interventions and improved outcomes. Personalized Care can be availed i.e., PRA-SCORE tailors care plans to individual risk profiles, ensuring that pregnant individuals receive targeted and effective medical attention.

• Proactive Risk Management by AI integration that predicts risks based on historical data, assisting healthcare providers in proactively managing potential complications. This effort results in Informed Decision-Making by AI-driven real-time insights, empowering healthcare providers to make evidence-based decisions, optimizing the course of treatment.
• Rapid Emergency Response in form of the SOS mechanism ensures swift assistance during emergencies, bridging geographical gaps and potentially saving lives. Also, the Comprehensive Monitoring through the mobile application offers continuous remote monitoring, allowing healthcare providers to track progress and intervene as needed. It will reduce Maternal Mortality, by promptly addressing high-risk conditions and ensuring immediate medical attention.
An Enhanced Healthcare Access is provided by the technology-driven approach as it extends healthcare access to remote or underserved areas, benefiting pregnant individuals who might otherwise lack timely medical support. This process Minimize Complications by addressing risks early and comprehensively and also reduces the likelihood of complications, benefiting both the mother and the developing foetus. Finally, this holistic Maternal Support the combination of risk assessment, AI insights, and emergency response thereby fosters a holistic support system that prioritizes maternal health, safety, and well-being.
, Claims:1. A method for a high-risk pregnancy identification comprising the steps of: identifying high-risk pregnancy, determining PRA-Score and implementation, integrating AI with PRA-Score and SOS mechanism with geolocation feature through mobile application; providing a safer and technologically advanced journey of maternal health.
2. A high-risk pregnancy identification mechanism through technological intervention comprises the comprehensive process includes high-risk pregnancy identification module (101), PRA-Score determination (102) and implementation (103) modules, AI integration with PRA-Score (104), and SOS mechanism (105) with geolocation feature through mobile application; provides a safer and technologically advanced journey of maternal health.
3. The system as claimed in claim 1, wherein, helps in identifying high risk pregnancy factors and medical conditions thus early intervention and personalized care is ensured.
4. The system as claimed in claim 1, wherein, provides proactive risk management system that leads to effective decision-making regarding treatments.
5. The system as claimed in claim 1, wherein strengthens comprehensive monitoring of all the pregnancy related complications thereby reinforces a rapid emergency response.
6. The system as claimed in claim 1, wherein minimizes complications and provides a holistic maternal support through accessibility to healthcare facilities with technological intervention.