Transforming Healthcare: Artificial Intelligence (AI) Applications in Medical Imaging and Drug Response Prediction.
Karthik Prathaban1, M Prakash Hande1
1Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Genome Integrity
|January 23, 2025
Summary
Artificial intelligence (AI) enhances medicine by improving diagnostics and drug discovery. Key challenges include data generalization and model explainability for clinical adoption.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
Background:
- Artificial intelligence (AI) presents significant opportunities to advance medical diagnosis and treatment.
- Machine learning and deep learning show promise in areas like medical image analysis and drug discovery.
Purpose of the Study:
- This commentary discusses two potential applications of AI in medicine.
- It also addresses the critical challenges hindering AI implementation in clinical settings.
Main Methods:
- The commentary reviews current literature on AI in medicine.
- It focuses on use cases and implementation challenges.
Main Results:
- AI can assist in diagnosing medical images and identifying effective drugs.
- Challenges include ensuring data generalizability and model interpretability.
Conclusions:
- Successful clinical adoption of AI requires addressing data and explainability issues.
- Further research is needed to overcome these hurdles for widespread AI integration in healthcare.
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