AI in healthcare: promise, risks and patient safety | Episode 53
AI is increasingly being used in healthcare, including drug and vaccine development, medical imaging and clinical decision-making. While these applications may support research and clinical care, they also raise concerns about patient safety, inaccurate or misleading information, data privacy and the potential misuse of AI in biological research. In Episode 53 of Health Wrap, Ramya Kannan, Health…
In the latest episode of Health Wrap, Ramya Kannan, Health Editor of The Hindu, engages in a conversation with Dr. Abdul Ghafur, an infectious diseases expert at Apollo Hospitals in Chennai. They delve into the topic of artificial intelligence (AI) in the realm of healthcare, discussing both its potential benefits and the associated risks.
One area where AI is making significant strides is in drug and vaccine development, medical imaging, and clinical decision-making. These applications hold great promise for accelerating medical research and supporting doctors in providing better patient care. However, the experts also highlight the need to be cautious about the limitations and potential risks associated with AI.
One concern is the possibility of AI generating inaccurate or misleading information, which could potentially compromise patient safety. Additionally, there are worries about data privacy, as AI systems often rely on vast amounts of personal health data. The misuse of AI in biological research is another issue that needs careful consideration.
Dr. Ghafur emphasizes that while AI has the potential to revolutionize healthcare, it is crucial to address these challenges to ensure patient safety and ethical use of this technology. The conversation between Kannan and Ghaf underscores the importance of striking a balance between harnessing the power of AI and safeguarding patient well-being in the ever-evolving landscape of healthcare.
Written by urgent.news from The Hindu Health's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
