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Artificial intelligence (AI) has the potential to revolutionize healthcare by enhancing diagnostics, creating more tailored treatments, and streamlining healthcare administration. Focusing on peer-reviewed articles published in the past decade, a comprehensive literature search was undertaken using PubMed, Google Scholar, and IEEE Xplore. Some important results include the fact that AI can diagnose diseases and disorders as accurately as human specialists can, including skin cancer and diabetic retinopathy. For Instance, AI was able to detect diabetic retinopathy with a sensitivity rate of 97.5% and skin cancer with an accuracy rate of 72.1%. There was a 93% agreement between expert oncologists and AI-driven IBM Watson for Oncology recommendations for treatment optimization. Hospital readmissions for chronic diseases decreased by 22% when wearables powered by AI were used. The area under consideration (AUC-ROC) for AI models in healthcare management to forecast in-hospital mortality was 0.86. Despite these advantages, there are still problems that need to be resolved, including issues with data privacy and ethics, regulatory changes, and integration. That AI systems are open, equitable, and responsible is of the utmost importance. The key to a successful adoption is overcoming healthcare professionals’ resistance through proper training. These are the areas where future AI research should focus for the technology to fulfil its healthcare potential.
Syed Shah (Wed,) studied this question.