Artificial Intelligence in Healthcare a New Technology for Medicine

Artificial Intelligence (AI) has gained momentum in the healthcare sector, helping to solve the important challenges such as disease diagnosis, treatment planning, drug discovery, and patient management. Although previous work has investigated AI applications in particular medical areas, the actual practice is far behind. By creating an AI-based model that supports the medical domain through improving diagnostic accuracy, promoting ethical AI applications, and streamlining the healthcare process, this study thus reduces a gap between theory and practice. The advanced deep learning models, real-time analytics, and bias-free decision-making formed by the proposed system offer improvements in medical imaging, personalized medicine, and automated reporting. Additionally, this study encompasses explainable AI to improve trust in healthcare providers and patients. These findings contribute in the evolution of AI-powered healthcare, seamlessly providing a scalable system that is transparent and efficient efficiently providing a system. In conclusion, this study positions AI as a transformational technology for advancing modern medicine and addressing global health care problems.

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Publication Details

Journal
ITM Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/itmconf/20257604005
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Healthcare a New Technology for Medicine

Tharrengini Suresh, Manda Silparaj, A Kaviya, P. Krishnamoorthy et al.
ITM Web of Conferences
Machine Learning in Healthcare
article

Artificial Intelligence in Healthcare a New Technology for Medicine

Tharrengini Suresh, Manda Silparaj, A Kaviya, P. Krishnamoorthy, Prabhu Kishore N, K Gayathree
article en

Abstract

Artificial Intelligence (AI) has gained momentum in the healthcare sector, helping to solve the important challenges such as disease diagnosis, treatment planning, drug discovery, and patient management. Although previous work has investigated AI applications in particular medical areas, the actual practice is far behind. By creating an AI-based model that supports the medical domain through improving diagnostic accuracy, promoting ethical AI applications, and streamlining the healthcare process, this study thus reduces a gap between theory and practice. The advanced deep learning models, real-time analytics, and bias-free decision-making formed by the proposed system offer improvements in medical imaging, personalized medicine, and automated reporting. Additionally, this study encompasses explainable AI to improve trust in healthcare providers and patients. These findings contribute in the evolution of AI-powered healthcare, seamlessly providing a scalable system that is transparent and efficient efficiently providing a system. In conclusion, this study positions AI as a transformational technology for advancing modern medicine and addressing global health care problems.

ITM Web of ConferencesVol. 76
P.V. Narsimha Rao Telangana Veterinary University (IN), Orthopaedic Research Group (IN), National Institute of Technology Andhra Pradesh (IN), Bharath University (IN)
Openalex Percentile: Top 98%
Machine Learning in Healthcare
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