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AI in healthcare: a revolution for diagnosis, treatment, and patient care

Artificial Intelligence (AI) is quickly becoming a game-changer in the healthcare sector, aiming to enhance diagnosis, streamline treatment plans, and simplify patient care. Several hospitals are already exploring AI’s potential, with one chain introducing an AI-powered chatbot designed to offer personalized health advice. This chatbot will help patients avoid unnecessary online searches and self-medication by providing prompt and accurate medical recommendations. It can also connect patients directly to specialists for timely consultations.

Another hospital group plans to launch an app that uses AI and IoT-enabled devices like smartwatches to monitor patients with lifestyle diseases such as diabetes, obesity, and hypertension. This app will track health data, including diet and exercise habits, and provide patients with customized health tips to improve their overall well-being.

In surgery, AI is already playing a crucial role, assisting with pre-operative planning and enhancing precision during procedures. Hospitals are using robotic systems like Da Vinci and Mako 2.0, which leverage AI for more accurate and less invasive surgeries.

AI is also making strides in diagnostics, with systems that can analyze radiological images, ECG readings, and even genetic screenings more accurately than humans. However, the successful use of AI in healthcare relies on large, high-quality datasets, which are still fragmented in many parts of India.

While AI is transforming healthcare, experts emphasize that it should complement, not replace, doctors. Human expertise remains essential for making final decisions and providing the compassionate care patients need.

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