| Issue |
ITM Web Conf.
Volume 76, 2025
Harnessing Innovation for Sustainability in Computing and Engineering Solutions (ICSICE-2025)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 10 | |
| Section | Healthcare & Medicine | |
| DOI | https://doi.org/10.1051/itmconf/20257604005 | |
| Published online | 25 March 2025 | |
Artificial Intelligence in Healthcare a New Technology for Medicine
1 Associate Professor, Department of Computer Science and Engineering, Sasi Institute of Technology & Engineering, Tadepalligudem, West Godavari district, Andhra Pradesh - 534101, India
2 Assistant Professor, Department of Computer Science and Engineering (Cyber Security), CVR College of Engineering, Hyderabad - 501510, India
3 Associate Professor, Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
4,5 Assistant Professor, Department of ECE, Sree Sakthi Engineering College, Coimbatore, Tamil Nadu, India
6 Asst Professor, Department of mech, new prince shri bhavani college of engineering and technology, Chennai, Tamil Nadu, India
krishnancse0206@gmail.com
silparajm@gmail.com
n.prabhukishore@mlrinstitutions.ac.in
gayathreessec@gmail.com
Kaviyaece27@gmail.com
suresh@newprinceshribhavani.com
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.
Key words: Artificial Intelligence / Healthcare / Medical Diagnosis / AI Ethics / Deep Learning / Personalized Medicine / Explainable AI / Drug Discovery / Real-Time Analytics / Bias-Free AI / Medical Imaging / AI-Driven Decision-Making / Automated Reporting / Digital Health / Smart Healthcare Systems
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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