The integration of artificial intelligence (AI) and machine learning (ML) is revolutionizing medical diagnostics, empowering healthcare professionals with the ability to analyze vast datasets swiftly and accurately, thereby enhancing patient outcomes. This audit looks at how AI and machine learning are being utilized in diverse regions of diagnostics, counting restorative imaging, pathology, dermatology, genomics, prescient analytics, and electronic wellbeing records (EHRs). AI frameworks like IBM Watson and Google DeepMind have incredibly moved forward early cancer discovery and made a difference diminish the workload of radiologists. In genomics, AI makes a difference distinguish hereditary transformations and create personalized treatment plans, moving forward the viability of treatments. Be that as it may, challenges such as information quality, predisposition, security, and administrative issues still require to be tended to guarantee the secure and moral utilize of AI in healthcare. The future of AI and ML in therapeutic diagnostics is set to change healthcare conveyance.