Artificial Intelligence in Healthcare Applications Challenges and Opportunities for Improved Patient Outcomes

Artificial Intelligence in Healthcare Applications Challenges and Opportunities for Improved Patient Outcomes

AI has the potential to revolutionize healthcare by enabling more accurate diagnoses, more effective treatment regimens, and improved patient outcomes. While AI is promising, many challenges remain including limited case studies from the real world, regulatory pressure, bias in data and integration...

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Bibliographic Details
Main Authors: Rashid Zahraa M., Balaram Allam, Lavanya Chinthamalla, Mary P Shyamala Anto, Tiwari Mohit, P K Chidambaram
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:ITM Web of Conferences
Subjects:
artificial intelligence
healthcare
patient outcomes
data quality
bias mitigation
regulatory compliance
ai integration
diagnostic accuracy
interoperability
ethical considerations
patient safety
longitudinal studies
scalability
healthcare technology
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_04004.pdf
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https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_04004.pdf

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