Review Article: Artificial Intelligence and Its Implications in Medical Sciences

Download

Volume 6 Issue 1, 2025

Author(s):

Muhammad Akhlaq Hamdard University, Karachi, m.akhlaq@hamdard.edu.pk

Shahid Munir Shah Salim Habib University, Karachi, shahid.munir@shu.edu.pk

Abstract Artificial Intelligence (AI) is disrupting medical sciences, introducing technology that makes healthcare smarter, quicker, and more individualized. Imagine this: machines that detect cancer in scans before it is too late, customize drugs to your DNA, or smooth the chaos of congested hospitals. This review dives deep into how AI—powered by tricks like machine learning, deep learning, and natural language processing—is tackling some of medicine’s toughest nuts to crack, like diagnostic slip-ups (think 10% of deaths in developed nations, says WHO, 2023) and ballooning costs (headed for $10 trillion by 2025. We’ll walk through its big wins—think 9.4% better breast cancer detection or slashing drug development time from years to weeks and its real-world uses, from rural TB screening (WHO, 2024) to mental health chat bots cutting depression by 30%. But it’s not all sunshine: privacy breaches (like Ireland’s 2021 hack, HSE, 2021), biased algorithms and ethical headaches—like who’s to blame for a wrong call—loom large. As of March 2025, research shows AI’s on a roll, with breakthroughs like multi-disease blood tests and nanomedicine hinting at what’s next. We’ll explore all this—current uses, perks, pitfalls, ethics, and future vibes—grounded in the latest studies. AI is a team player with immense possibilities, but it must be worked upon to dazzle all.
Keywords Artificial Intelligence (AI), Healthcare, Medical Sciences, Diagnostics, Drug Discovery, Personalized Medicine, Telemedicine
Year 2025
Volume 6
Issue 1
Type Research paper, manuscript, article
Recognized by Higher Education Commission of Pakistan, HEC
Category
Journal Name ILMA Journal of Technology & Software Management
Publisher Name ILMA University
Jel Classification --
DOI -
ISSN no (E, Electronic) 2790-590X
ISSN no (P, Print) 2709-2240
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link https://ijtsm.ilmauniversity.edu.pk/arc/Vol6/i1/pdf4.pdf
Page 30-36