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Artificial Intelligence in Medicine: Where Are We Now?
Sagar Kulkarni1, Nuran Seneviratne2, Mirza Shaheer Baig3
1Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia 19104, PA; Barts and The London School of Medicine and Dentistry, London, United Kingdom.
Academic Radiology
|October 23, 2019
Summary
Artificial intelligence (AI) in medicine is rapidly advancing. This review organizes recent AI progress, focusing on applications in radiology, pathology, ophthalmology, and dermatology for future medical innovation.
Area of Science:
- Medical Informatics
- Computer Science
- Biomedical Engineering
Background:
- Artificial intelligence (AI) has seen significant advancements in healthcare.
- Current AI progress in medicine appears fragmented, lacking a unified overview.
- There is a growing need for structured reviews of AI applications in clinical practice.
Purpose of the Study:
- To provide a comprehensive and up-to-date review of AI in medicine.
- To specifically highlight the applications of AI in key medical specialties.
- To synthesize current research and illustrate future potential.
Main Methods:
- Systematic literature review of recent AI research in medicine.
- Focus on selected high-impact papers across specified medical fields.
- Categorization of AI applications based on medical specialty.
Main Results:
- AI demonstrates substantial potential across radiology, pathology, ophthalmology, and dermatology.
- Identified diverse AI techniques including machine learning and deep learning.
- Highlighted successful AI implementations in diagnostic and prognostic tasks.
Conclusions:
- AI is poised to revolutionize medical diagnostics and treatment planning.
- A structured understanding of AI applications is crucial for future development.
- Continued research integration is vital for realizing AI's full potential in medicine.
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