How can advancements in artificial intelligence be leveraged to improve healthcare outcomes, and what are some potential challenges associated with integrating AI into medical practice?
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AI has taken over almost all the sectors in the world, making bigger tasks easier to complete. AI can also create tremendous changes when adapted in healthcare areas as well. AI in healthcare does the job more quickly than a doctor can, thereby saving the lives of patients much faster than a professRead more
AI has taken over almost all the sectors in the world, making bigger tasks easier to complete. AI can also create tremendous changes when adapted in healthcare areas as well. AI in healthcare does the job more quickly than a doctor can, thereby saving the lives of patients much faster than a professional doctor.
Just by seeing medical illustrations, AI can easily diagnose the disease. Treatments are also decided by AI, taking into consideration the patient’s health conditions, genes, and medical history and providing customised treatment methods for different patients, thereby making treatments effective.
AI saves the time of both doctors and nurses so that they can spend more time with patients. Patients can also track their improvements by asking questions about various AI tools that are available for free. Advancements in AI in hospitals come with positives as well as negatives.
Though it makes doctors’s duties easier, preserving the information of patients as private is a major concern. Also, when the information provided is inaccurate or incomplete, it suggests wrong diagnosis and treatment plan. In order for AI to function properly, correct training and collaboration between AI developers and healthcare professionals are mandatory.
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