Artificial Intelligence in Medicine: Transforming The Future of Healthcare
The rate of development in artificial intelligence (AI) technologies has brought revolutionary transformations across 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 op...
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| Format: | Article |
| Language: | English |
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National University of Medical Sciences
2025-04-01
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| Series: | Life and Science |
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| Online Access: | https://lifenscience.org/index.php/life-and-science/article/view/904 |
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| _version_ | 1849689297523834880 |
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| author | Tashfeen Alam Jan Shumaila Naz |
| author_facet | Tashfeen Alam Jan Shumaila Naz |
| author_sort | Tashfeen Alam Jan |
| collection | DOAJ |
| description | The rate of development in artificial intelligence (AI) technologies has brought revolutionary transformations
across 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 clinical
workflow and patient care. Machine learning (ML) and deep learning (DL) technologies have proved invaluable
for the analysis of complex datasets, supporting early diagnosis and optimizing treatment protocols. AI
showcased 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 forecasting
the 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, and
regulatory 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 the
potential to significantly enhance global healthcare delivery. Despite these benefits, integrating AI into
healthcare systems raises important ethical, legal, and regulatory concerns. Ensuring data privacy, promoting
algorithm 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 populations
fairly. With responsible and ethical implementation, AI holds immense potential to transform global healthcare
delivery 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 |
| format | Article |
| id | doaj-art-3e4b4e9acd7b42f99fe43c78e9b70dc7 |
| institution | DOAJ |
| issn | 2521-0475 2708-2970 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | National University of Medical Sciences |
| record_format | Article |
| series | Life and Science |
| spelling | doaj-art-3e4b4e9acd7b42f99fe43c78e9b70dc72025-08-20T03:21:42ZengNational University of Medical SciencesLife and Science2521-04752708-29702025-04-0162080810.37185/LnS.1.1.904904Artificial Intelligence in Medicine: Transforming The Future of HealthcareTashfeen Alam Jan0Shumaila Naz1Combined Military Hospital (CMH), Rawalpindi, PakistanNational University of Medical Sciences (NUMS), Rawalpindi, PakistanThe rate of development in artificial intelligence (AI) technologies has brought revolutionary transformations across 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 clinical workflow and patient care. Machine learning (ML) and deep learning (DL) technologies have proved invaluable for the analysis of complex datasets, supporting early diagnosis and optimizing treatment protocols. AI showcased 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 forecasting the 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, and regulatory 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 the potential to significantly enhance global healthcare delivery. Despite these benefits, integrating AI into healthcare systems raises important ethical, legal, and regulatory concerns. Ensuring data privacy, promoting algorithm 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 populations fairly. With responsible and ethical implementation, AI holds immense potential to transform global healthcare delivery 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.1.1.904https://lifenscience.org/index.php/life-and-science/article/view/904diagnostic imagingnatural language processingradioomicstelemedicine |
| spellingShingle | Tashfeen Alam Jan Shumaila Naz Artificial Intelligence in Medicine: Transforming The Future of Healthcare Life and Science diagnostic imaging natural language processing radioomics telemedicine |
| title | Artificial Intelligence in Medicine: Transforming The Future of Healthcare |
| title_full | Artificial Intelligence in Medicine: Transforming The Future of Healthcare |
| title_fullStr | Artificial Intelligence in Medicine: Transforming The Future of Healthcare |
| title_full_unstemmed | Artificial Intelligence in Medicine: Transforming The Future of Healthcare |
| title_short | Artificial Intelligence in Medicine: Transforming The Future of Healthcare |
| title_sort | artificial intelligence in medicine transforming the future of healthcare |
| topic | diagnostic imaging natural language processing radioomics telemedicine |
| url | https://lifenscience.org/index.php/life-and-science/article/view/904 |
| work_keys_str_mv | AT tashfeenalamjan artificialintelligenceinmedicinetransformingthefutureofhealthcare AT shumailanaz artificialintelligenceinmedicinetransformingthefutureofhealthcare |