Artificial Intelligence is an ability of machine to act like humans in learning and problem-solving. In healthcare, AI acts as a powerful assistant, it helps in clinical diagnosis.

AI algorithms can analyze medical images like X-rays, CT scans with high detail and accuracy. due to which, detection of abnormalities and earlier diagnoses of diseases like cancer becomes faster. AI can analyze vast amounts of patient data, including medical history, lab results, and genetic information. By identifying patterns of diseases, AI can suggest diagnoses, predict potential health risks, and give specific treatment plans. AI systems can act as real-time advisors during consultations, providing doctors with relevant medical literature, treatment options based on best practices, and potential drug interactions.

However, the use of AI in healthcare is sometimes risky about individual privacy. Because AI systems rely on vast amounts of patient data, raising concerns about its security and potential breaches. AI algorithms trained on biased datasets can discriminate in diagnoses and treatment recommendations. The complex inner workings of AI algorithms can be opaque, making it difficult to understand how they arrive at diagnoses, potentially leading to a lack of trust from patients.