• Sreekanth Yalavarthi

Artificial Intelligence (AI) has emerged as a transformative catalyst in the realm of healthcare, offering innovative solutions that span the continuum of medical practice, from initial diagnosis to personalized treatment decision support. This paper explores the multifaceted role of AI in modern medicine, showcasing its ability to augment clinical expertise and improve patient care. Through the analysis of extensive datasets and advanced machine learning algorithms, AI systems enhance diagnostic accuracy, providing clinicians with valuable insights for early disease detection. Furthermore, AI tailors treatment plans to individual patients by harnessing genetic data, real-time monitoring, and medical history, thus optimizing therapeutic outcomes. The application of deep learning in radiology and medical imaging streamlines the interpretation of complex images, leading to quicker and more precise diagnoses. Additionally, AI accelerates drug discovery processes, aids in prognostic predictions, and optimizes clinical workflows, ultimately enhancing the efficiency and effectiveness of healthcare delivery. As we delve into the transformative potential of AI in medicine, we also emphasize the imperative of addressing ethical and regulatory considerations to ensure patient privacy and the responsible deployment of AI technologies. The seamless integration of AI into clinical practice, in collaboration with healthcare professionals, promises to reshape the landscape of healthcare, advancing the quality and accessibility of care on a global scale.

Artificial Intelligence, Clinical Decision Support Systems, Medical Imaging, Diagnosis, Electronic Health Records (EHR).

"AI in Medicine: From Diagnosis to Treatment Decision Support", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.e214-e217, October-2023, Available :http://www.jetir.org/papers/JETIR2310341.pdf

"AI in Medicine: From Diagnosis to Treatment Decision Support", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppe214-e217, October-2023, Available at : http://www.jetir.org/papers/JETIR2310341.pdf