Through its ability to make sense of heaps of data, AI can transform India’s healthcare landscape by reducing costs, improving efficiency and facilitating personalised interventions
(Illustration: Nilanjan Das | AI)
ISSUE DATE: Jan 15, 2024 | UPDATED: Jan 5, 2024 15:45 IST
The medical community has rapidly acknowledged the potential advantages of Artificial Intelligence (AI) since its emergence in the 1950s. In 1959, it was determined that machines could interpret symptoms diagnostically. By 1960, physicians projected that computers could significantly augment their cognitive abilities by the year 2000. Availability of data through connected devices, increased storage capacities, enhanced computing are a few enablers of AI adoption across industries, including healthcare. From everyday health apps to high-precision analysis of complex medical scans for early diagnosis, to helping tailor treatment plans, AI is useful in drawing insights from a large amount of clinical data for better disease management, prediction and designing outbreak strategies. Machine learning, which involves fitting models to data and learning through training, is utilised extensively in healthcare, especially in precision medicine.