Role of Artificial Intelligence in Transforming Diagnosis, Treatment, and Patient Care: A Review

Abstract

Abstract: Artificial intelligence has recently begun to expand the capabilities of precision medicine in diverse fields of medicine. Artificial intelligence-based solutions like deep learning, machine learning, predictive analytics, etc., have transformed disease detection, treatment planning, and patient care horizons. In oncology, artificial intelligence assists in early cancer diagnosis and personalized treatment protocols. In cardiology, predictive models help diagnose diseases and prevent serious events. Artificial intelligence applications in seizure prediction and neurodegenerative disease progression analysis enhance neurology diagnostic and therapeutic methods. Pharmacogenomics applies artificial intelligence in customizing drug remedies according to genetic profiling to increase therapeutic efficiency and avoid unfavourable responses. Artificial intelligence also helps manage neurodegenerative disorders through early diagnosis and intervention strategies. It contributes to more precise diagnostics, better therapy efficiency, and improved prognosis of the patients. Other significant benefits of integrating AI into clinical practice are health administration, the analysis of medical records, and processing massive datasets in medical research. To fully benefit from artificial intelligence, there is a need to overcome the obstacles, including model interpretability, data privacy issues, and regulatory compliance requirements. In this study, we examine the use of AI in precision medicine, emphasizing developments in necessary medical fields and noteworthy results. Artificial intelligence is transforming contemporary healthcare and building a more effective and efficient medical system through automated decision-making, personalized treatment, and early diagnosis.