Abstract

Medicine is undergoing a transformation thanks to artificial intelligence (AI), especially in the areas of pharmaceutical delivery and illness diagnostics. AI algorithms can examine genetic data, medical pictures, and patient records with previously unheard-of speed and precision by utilizing massive datasets. For instance, AI systems trained on vast repositories of diagnostic images can detect conditions such as tumors, fractures, and other abnormalities earlier than traditional methods. In addition to improving diagnosis accuracy, these solutions lighten the workload for medical staff, freeing them up to concentrate more on patient care. Additionally, AI-driven platforms can recognize patterns across diverse patient populations, refining the diagnostic process and aiding in the identification of rare diseases that typically present significant challenges in clinical settings. In addition to enhancing diagnostic capabilities, AI is also transforming treatment strategies through personalized medicine. Machine learning models can analyze data on individual patients' genetics, lifestyle, and previous treatment responses to recommend tailored treatment options. In complicated situations like cancer and chronic disorders, In addition, chatbots and By giving patients real-time monitoring and assistance with their treatment regimens, AI-powered virtual health assistants are promoting patient involvement. AI is a vital tool for the future of medicine because, as it develops, its application in clinical settings has the potential to greatly enhance patient outcomes and speed up the delivery of treatment. This tailored strategy may optimize treatment effectiveness while reducing adverse effects.

Key words: artificial intelligence, healthcare, medical technologies, patient care, quality of life.