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Role of Artificial Intelligence in Health Care and Research

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出版年:Asian Journal of Nursing Education and Research vol. 15, no. 2 (Apr-Jun 2025), p. 111-119
第一著者: Mohanasundari, S K
出版事項:
A&V Publications
主題:
Google DeepMind
Robotic surgery
Drug development
Automation
Artificial intelligence
Pathology
Behavior Modification
Decision Support Systems
Patients
Influence of Technology
Computers
Cancer
Cognitive Restructuring
Mental Health Programs
Radiology
Empathy
At Risk Persons
Chronic Illness
Accuracy
Anesthesiology
Medical Services
Genetic Disorders
Decision Making Skills
Diabetes
Health Behavior
Delivery Systems
Internal Medicine
Algorithms
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抄録:Artificial Intelligence (AI) has revolutionized healthcare by simulating human intelligence to enhance diagnostics, treatment planning, and operational efficiency. Over the decades, AI has evolved through key milestones, from early expert systems like MYCIN to advanced deep learning applications in radiology, pathology, and genomics. Today, AI-driven tools improve disease detection, personalize treatment, assist in robotic surgeries, and automate administrative processes, ultimately enhancing patient outcomes. AI also accelerates drug discovery, supports real-time ICU monitoring, and enables predictive analytics for proactive healthcare management. However, challenges such as data privacy, algorithmic bias, over-reliance on AI, and regulatory concerns must be addressed to ensure ethical and equitable implementation. While AI cannot replace human judgment and empathy, it serves as a powerful adjunct to clinical decision-making, improving accuracy, efficiency, and accessibility in healthcare. Thoughtful integration of Al can bridge gaps in healthcare delivery, fostering a future of data-driven, patient-centered medical care.
ISSN:2231-1149
2349-2996
DOI:10.52711/2349-2996.2025.00025
ソース:Nursing & Allied Health Database