Artificial intelligence and machine learning in healthcare: Transforming clinical practice and addressing challenges
Artificial Intelligence (AI) and Machine Learning (ML) arerevolutionizing healthcare by improving patient outcomes,enhancing diagnostics, and optimizing clinical workflows.AI-powered systems are increasingly being adopted toassist in diagnostics, personalized medicine, radiology,and predictive analytics, offering improved accuracy andefficiency in clinical decision-making. 1 However, theseadvancements also pose significant ethical, regulatory, andbias-related concerns that require careful consideration toensure equitable and safe implementation.
Authors
- Aysar Abou rashid (ORCID: https://orcid.org/0000-0003-0999-9634)
- Insha Majeed
- Padma Chorol
Institutions
- Government Medical College (IN)
- Sher-i-Kashmir Institute of Medical Sciences (IN)
- Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu (IN)
Publication Details
- Journal
- Panacea Journal of Medical Sciences
- Published
- 2024-12-21
- DOI
- https://doi.org/10.18231/j.pjms.2024.108
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00