AL & ML are already deeply impacting the healthcare industry, revolutionizing various aspects of patient care and medical research. AI algorithms are being used extensively in medical imaging analysis to detect diseases like cancer and diabetic retinopathy at earlier stages, often with remarkable accuracy. AI-powered systems are also streamlining clinical workflows by automating tasks such as clinical documentation, medical transcription, and the complex process of medical coding and billing, freeing up healthcare professionals to focus more on direct patient interaction. Furthermore, clinical decision support systems driven by AI are providing clinicians with evidence-based recommendations during patient encounters, aiding in diagnosis and treatment planning by analyzing vast amounts of medical literature and patient data. The pharmaceutical sector is also being transformed by AI, which accelerates the process of drug discovery and development by identifying potential drug targets and optimizing the design of new medicinal products. The concept of precision medicine, which aims to tailor medical interventions to individual patients, is heavily reliant on AI's ability to analyze large and complex biological datasets, including genetic information, to understand individual variability and optimize treatment strategies. AI is also enabling advancements in remote patient monitoring through wearable devices and virtual health assistants, allowing for continuous tracking of vital signs and facilitating timely interventions.