AI Initiatives in Healthcare
Ministry of Health and Family Welfare
Welcome.
Thank you for visiting the e-Health AI Unit at the fourth health working group meeting of the G20 in Gandhinagar.
Clinical Decision Support System
E-Health AI Unit · AIIMS Rishikesh · National Informatics Centre · C-DAC
We are developing a suite of AI tools to assist doctors and other healthcare staff with diagnosing and managing patients.
These AI tools can be incorporated with existing eOPD setups, telemedicine systems, and hospital management information systems (HMIS) that connect patients and doctors via video consultations, where doctors capture the patients’ chief complaints and prescribe medicines.
Automated Outbreak Monitoring
E-Health AI Unit · National Centre for Disease Control
We are using AI to automate aspects of event-based outbreak monitoring at the central and state level in India.
The solution uses AI models to scan health events reported in mainstream and regional media at scale, and natural language processing mechanisms to filter, extract and collate events of interest at scale. These are leveraged to generate alerts, and offer insights into disease outbreaks. The solution is now part of the Integrated Disease Surveillance Programme’s (IDSP) Integrated Health Information Platform (IHIP).
Teleradiology
E-Health AI Unit · AIIMS New Delhi
This AI solution from the e-Health AI Unit aims to reduce the occurrence of missed findings in chest X-rays by providing diagnostic assistance to radiologists and general medical practitioners.
The solution can be used for emergency triaging, abnormal screening, heart failure screening, feature and disease detection, silicosis screening, TB screening, and lung cancer screening.
Ophthalmology
E-Health AI Unit · AIIMS New Delhi · AIIMS Rishikesh
The Ministry of Health and Family Welfare in India is employing AI for the early detection of diabetic retinopathy, and to solve the issue of blindness and vision impairment at scale.
This AI solution can help accelerate India’s drive to screen its 134.2 million diabetic patients by 2045 to halt the rising rates of preventable visual impairment and blindness across the country.
Dermatology
E-Health AI Unit · AIIMS New Delhi
The e-Health AI Unit is developing an AI-powered solution to help medical practitioners efficiently screen and diagnose skin conditions.
This AI solution will help first responders to screen and diagnose patients for common skin diseases in India, and further provide an appropriate treatment plan as per NHSRC guidelines.
Cough Against TB
E-Health AI Unit · Central TB Division
Developed in collaboration with the Central TB Division of India, this solution screens presumptive pulmonary TB cases based on individuals’ cough sounds.
Cough Against TB will empower ~33,000 healthcare workers, and enable the screening of ~13,600,000 presumptive TB cases every year.
Newborn Anthropometry
E-Health AI Unit
An AI solution to assist health workers, such as ASHAs, to accurately measure the weight and length of newborns (0–42 days).
Using the AI solution on their smartphones, ASHAs, ANMs, and nurses are able to identify underweight neonates and monitor their growth using short video clips taken using smartphone cameras.