A system 100 for classifying an activity and connectivity of a brain into at least one neuropsychiatric disorder from magnetic resonance imaging (MRI) images. The system 100 includes an imaging device 102, a network 104, and a brain activity analyzing server 106. The system 100 (i) generates three-dimensional (3D) s...

SYSTEM AND METHOD FOR MONITORING CHARACTERISTICS OF SLEEP BY GENERATING SLEEP CYCLE INTERVAL USING ML A system for analyzing sleep patterns using sleep cycle interval of a subject 102 is provided. The system 100 (i) acquires sensor data of the subject 102 from a digital device 104 that includes at least ...

SYSTEM AND METHOD FOR GENERATING THREE-DIMENSIONAL (3D) VISUALIZATION OF MAGNETIC RESONANCE IMAGING (MRI) DATA 5 A system and method for automatically generating a three-dimensional (3D) visualisation report of MRI data using a machine learning model 112 are provided. An imaging device 110 obtains an input file ...

ABSTRACT SYSTEM AND METHOD FOR MONITORING BEHAVIORAL CHANGES USING MOTION SENSOR DATA BY MACHINE LEARNING MODEL A system and method for monitoring behavioral changes of a subject 102 based on a motion sensor data using a machine learning model 110 that enables to evaluate one or more conditions of the s...

SYSTEM AND METHOD FOR DETERMINING NETWORKS OF BRAIN FROM RESTING STATE MRI DATA USING ML A method for determining networks of a brain of a subject (102) from a resting state magnetic resonance imaging (MRI) data using a machine learning model (112) for evaluating health conditions of the subject is pro...

A system for evaluating a malignant or non-malignantgrowth in a brain from multi-modal structural magnetic resonance imaging (MRI) dataof a user 102 using a machine learning model 110 is provided. The system 100 includes an input data source 104, and a server 108. The server 108(i) receives MRI data from the input d...

A system and method for evaluating cognitive and emotional state of a user using a machine learning model is provided.The system 100 includes a user 102, a first data source 104, a second data source 106, a server112 that includes afirst machine learning (ML) model 114, and a second ML model 116. The server 112 rece...