Artificial Intelligence in Medicine: Transforming The Future of Healthcare

Abstract

The rate of development in artificial intelligence (AI) technologies has brought revolutionary transformationsacross the healthcare sector. The advancements especially impacted the manner in which the diagnosis,treatment, and management of diseases are undertaken with a growing emphasis laid on optimizing clinicalworkflow and patient care. Machine learning (ML) and deep learning (DL) technologies have proved invaluablefor the analysis of complex datasets, supporting early diagnosis and optimizing treatment protocols. AIshowcased tremendous promise in a plethora of applications, such as the accurate analysis of medical imagery,the personalization of therapies through the tailor-made dosing of medicines, predictive analysis in forecastingthe course of the disease, and the assistance of patients and clinicians by deploying virtual health tools.Moreover, the increasing application of AI in healthcare has also boosted access to quality healthcare,particularly in underserved populations. The following review also explores the ethical, legislative, andregulatory issues related to the application of AI in medicine, reiterating the need for protection of the data,transparency, and equitable access. With careful implementation that respects these boundaries, AI holds thepotential to significantly enhance global healthcare delivery. Despite these benefits, integrating AI intohealthcare systems raises important ethical, legal, and regulatory concerns. Ensuring data privacy, promotingalgorithm transparency, and maintaining fairness in AI-driven healthcare solutions are key concerns.Addressing these challenges is vital to building trust and ensuring that AI technologies benefit all populationsfairly. With responsible and ethical implementation, AI holds immense potential to transform global healthcaredelivery and improve patient outcomes on a large scale. How to cite this: Jan TA, Naz S. Artificial Intelligence in Medicine: Transforming The Future of Healthcare. Life and Science. 2025; 6(2): 284-291. doi: http://doi.org/10.37185/LnS.1.1.904