A system for optimizing DBS parameters for a subject includes automatically performing actions via a processor. The actions include obtaining functional MRI data of a brain of the subject acquired utilizing an MRI system during DBS of the brain utilizing a first set of DBS parameters. The actions include generating functional MRI response maps from the functional MRI data. The actions include extracting, utilizing an unsupervised autoencoder-based neural network, features from the functional MRI response maps. The actions include determining, utilizing a deep learning-based DBS parameter classification model, whether the first set of DBS parameters are optimal DBS parameters for the subject based on the features. The actions include, when the first set of DBS parameters are not the optimal DBS parameters, predicting, utilizing a deep learning-based DBS parameter prediction model, a second set of DBS parameters that are the optimal DBS parameters for the subject based on the features.

A digital kiosk for performing integrative analysis of health and disease condition and method thereof is disclosed. The digital kiosk (100) comprises a three-dimensional image capturing system configured for capturing phenotypic features associated with a patient using one or more computer vision-based models. The digital kiosk (100) further comprises one or more health sensors (102) configured for capturing physiological health signals associated with the patient, a user interface for obtaining one or more user inputs from the patient, a communication module for establishing communication session with one or more external devices (106), a hardware processor (208) and a memory (202) coupled to the hardware processor (208). The memory (202) comprises a set of program instructions in the form of plurality of subsystems (200) configured to be executed by the hardware processor (208). The plurality of subsystems (200) comprises a medical input data collection subsystem (210), a health status computation subsystem (212) and a disease identification subsystem (214).

A processing device includes: a processor configured to acquire a distance from a reference position on a movement path of an endoscope to a distal end of the endoscope that is moved along the movement path, acquire an elapsed time from a start of an examination using the endoscope, acquire event information that is information on an event related to the examination in a case where the event has occurred, and perform control to store the distance, the elapsed time, and the event information in association with each other.