AI at AIG Hospitals is already making an impact with MIRA, an AI-powered Medical Information Robotic Assistant that helps doctors and nurses and reduces patient waiting times, along with iSAVE, an AI-based early warning system that flags potential patient deterioration about an hour in advance.

AI is enabling affordable screening for fatty liver disease using clinical indicators and is powering AI-assisted documentation to summarize doctor-patient conversations, freeing clinician time, as interoperability efforts push for seamless medical-record sharing.

AI is optimizing hospital operations and diagnostics, centralizing pre-anesthesia assessments to dramatically cut surgery dropout rates from around 20% to about 1%, and improving endoscopy service management with roughly 700 procedures daily.

At IFHE’s 16th Foundation Day Lecture, AI’s expanding roles span diagnosis, drug discovery, radiology, telemedicine, precision medicine, genomics, cancer detection, dermatology, and remote monitoring, with drug development timelines potentially shortening from decades to about two years in some cases.

D. Nageshwar Reddy, chairman of AIG Hospitals, emphasizes that AI will augment rather than replace doctors, driving greater accessibility, affordability, and efficiency in healthcare.