Our "Ask INDIAai" series will address and explore your problems. INDIAai will react to your inquiries.

Please direct all inquiries to askindiaai@nasscom.in.

How is AI used in preventive medicine? - Hari Poorna, Mumbai

In augmented intelligence, AI algorithms improve physician comprehension and decision-making concerning a specific patient. The goals of predictive and prescriptive analytics are to improve outcomes through prevention.

They can more precisely anticipate patients' reactions to medication than existing techniques by using AI to analyze vast amounts of data from tumour samples. The genetic composition of tumours can be analyzed to identify the mutations promoting growth; some can be treated.

How is AI used in crowd management? - Vidharth Dev, Delhi

AI and computer vision are being employed more and more in the field of crowd management to safeguard public areas. Real-world scenes can be photographed and digitized thanks to computer vision technology, opening up new possibilities for more effective and early danger detection.

How is AI used in water management? - Sulaiman Sait, Hyderabad

AI plays a wide range of essential roles in water management. It acts as the eyes and ears of our water systems, maximizing water use, identifying leaks in infrastructure, and continuously monitoring the water quality.

In addition, AI uses trained algorithms to identify dangerous particles and bacteria to detect problems with water contamination. Cities can identify contamination as soon as possible using distributed equipment to check water for issues.

What is the use of Mocobot? - Jacob New Begin, Kolkata

Mocobot employs AI and machine learning algorithms to comprehend human behaviours and respond accordingly. The Mocobot stands unparalleled among high-speed camera robots since it possesses the unique capability to acquire beautiful photographs that would be challenging to obtain manually or by alternative methods.

What is the scope of AI in healthcare? - Karthik Singh, Chandigarh

AI's potential applications in healthcare are wide-ranging, and there are several exciting discoveries in the works: AI-Driven Diagnostics and Imaging: Medical pictures such as MRIs and X-rays can be correctly interpreted by AI-driven imaging systems. By using AI as a second opinion, radiologists can increase the accuracy of their diagnoses.