Thu Jun 12 00:00:00 UTC 2025: Okay, here’s a summary and rewrite of the provided article as a news report:

**Summary:**

An article from The Hindu, reports on the burgeoning use of artificial intelligence (AI) in Indian healthcare. It highlights successes, such as the “Garbhini-GA2” model developed by IIT-Madras for more accurately predicting fetal age, and the use of AI chatbots by ARMMAN to support auxiliary nurse-midwives (ANMs) in managing high-risk pregnancies. It also discusses the use of virtual autopsies, as opposed to regular autopsies, and the use of AI as a healthcare professional’s assistant. However, the article also raises significant concerns about data privacy, automation bias, and the lack of robust regulation surrounding AI in healthcare. It emphasizes the need for data governance, clinician training, and accountability to ensure that AI truly enhances, rather than hinders, ethical medical practice.

**News Article:**

**AI Revolutionizing Indian Healthcare, But Concerns Remain**

**Sri City, June 12, 2025** – Artificial intelligence is rapidly transforming India’s healthcare landscape, offering the potential for faster, more accurate, and more equitable care. From predicting fetal age with unprecedented precision to aiding healthcare workers in managing high-risk pregnancies, AI is making significant strides.

Researchers at IIT-Madras have developed “Garbhini-GA2,” an AI model that uses ultrasonography to predict fetal age with significantly improved accuracy compared to traditional methods, particularly for the Indian population. This model is now set to expand its testing to India at large. This AI development has also improved fetal ultrasound dating, virtual autopsies and high-risk-pregnancy guidance to virtual autopsies and clinical chatbots.

In rural areas, where access to specialized medical expertise can be limited, organizations like ARMMAN are leveraging AI chatbots to support auxiliary nurse-midwives (ANMs) in managing high-risk pregnancies. These chatbots provide clinically validated answers to ANM queries, ensuring timely and accurate information is available at the point of care.

However, alongside the enthusiasm for AI’s potential, experts are raising critical concerns about data privacy, automation bias, and regulatory gaps. Studies show that even experienced healthcare professionals can be unduly influenced by AI suggestions, potentially compromising their clinical judgment. The “automation bias” shows a great need to train the doctors on the limits of AI and consistently test the tools being used for healthcare.

“While AI offers tremendous opportunities to improve healthcare delivery, we must proceed with caution,” warns Shivangi Rai, a lawyer and health policy expert. “Robust data governance, comprehensive clinician training on the limits of AI, and enforceable accountability mechanisms are essential to ensure that technology serves ethical medicine, not replaces it.”

The implementation of such things is integral because 50% of Indian pregnancies are high-risk pregnancies. To reduce maternal and perinatal mortality, a domain expert has rated 91% of AI chatbot answers as accurate.

As India embraces AI in healthcare, the need for a balanced approach that prioritizes patient safety, data protection, and ethical considerations has never been more urgent.

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