A computer implemented system 100 to predict a retinal fundus appearance in at least one future point-in-time using an input retinal fundus image of a user is disclosed. The system 100 comprises a retinal fundus appearance prediction application 103 comprising: a processing means 103d to predict the retinal fundus a...

A computer implemented system 100 for processing a fundus image of a patient is disclosed. The system comprises a graphical user interface 103i comprising interactive elements 103h configured to enable capture and analysis of the fundus image; a reception means 103a adapted to receive an input from an image capturin...

A fundus image quality assessment system 1000 is disclosed. The system 1000 comprises a storage unit 107 adapted to store a training fundus image dataset; a generator 101 to generate the training fundus image dataset and a ground-truth file comprising: partitioning each of the training fundus images into a predefine...

A system 1000 is disclosed. The system 1000 comprises at least one processor 102; and one or more storage devices 103 configured to store software instructions configured for execution by the at least one processor 102 in order to cause the system 1000 to: receive a fundus image of a patient; identify a plurality of...

ABSTRACT A computer implemented system 100 for processing a retinal fundus image of a patient is disclosed. The system 100 comprises an eye type determination application 103, comprising: a graphical user interface 103i comprising interactive elements 103i configured to enable capture and process of the retinal fun...

A computer implemented system for analyzing a fundus image of a patient is disclosed. The system 100 comprises at least one processor coupled to a non-transitory computer readable storage medium configured to store a fundus image analysis application 103, comprising: a graphical user interface 103k comprising intera...

A system 103 for processing a digital chest radiograph of a patient is disclosed. The system 103 comprises a processor 103c configured to receive the digital chest radiograph of the patient; locate a plurality of candidate objects in the digital chest radiograph using a classifier technique; determine a plurality of...

A computer implemented system for analyzing a fundus image of a patient is disclosed. The system 100 comprises at least one processor coupled to a non-transitory computer readable storage medium configured to store a fundus image analysis application 103, comprising: a graphical user interface 103k comprising intera...

The present invention relates to a system and method for remote diagnostic analysis of plurality of images based on the machine learning algorithm. The computer implemented system is trained to detect a plurality of diseases from captured plurality of images are disclosed. The system comprises of at least one proces...

A deep-network based system and method to detect, segment and classify the optic disc and optic cup region in a retinal fundus image for glaucoma prediction based on the values of the vertical CDR, horizontal CDR, inferior thickness, superior thickness, nasal thickness, and temporal thickness. The deep network 100 c...

An artificial intelligence (AI) health-device 2000 for processing a medical data of a patient is disclosed. The AI health-device 2000 comprises an AI health-processor 201 in communication with a processor 101 of the host device 1000, characterized in that the AI health-processor 201 is configured to decide, based on...

The system 100 comprises a central server 102 and a remote screening unit 120. The central server 102 comprises a retinal disease detection unit 112 configured for obtaining at least one two-dimensional (2D) fundus image using an imaging device 105 and analyzing the fundus image for detecting the presence of a retin...

An optical coherence tomography (OCT) imaging system for imaging an eye is disclosed that comprises an image capturing device 102 having a fixed arm 104 and a movable arm 106, the movable arm 106 encasing a lens and configured for moving in a movable arm 106 path of a predetermined length, the movement of the movabl...

In one embodiment, a system 100 for analyzing medical data based on the type of medical data for predicting medical condition of a subject is disclosed. The system 100 comprises a processing unit 102, in communication with a host-device 200, the processing unit 102 configured for receiving medical data from the host...

A system and method for detecting indicators for oral cancer in a subject are described. The method of screening oral cancer comprises steps of capturing at least one image of the oral cavity of a subject, using an imaging device 101, processing the image for identifying probable presence of a pre-cancerous or a can...