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Join Derms on Drugs for a riveting dive into artificial intelligence and automated skin cancer detection.
World-renowned expert Dr. Laura Ferris, with 20 years in the field, breaks down cutting-edge research and predicts the future of dermatology. Will AI "terminate" dermatologists or empower us to focus on complex cases and patient care? Expect fresh insights, practical takeaways, and lively banter that’ll make you a smarter clinician. Don’t miss this chance to stay ahead in the AI revolution!
Derms on Drugs is produced by Scholars In Medicine
For Resources links visit: Scholars In Medicine
1. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening?
2. 3D Total-Body Photography in Patients at High Risk for Melanoma
3. Promises and Pitfalls of 3D Total-Body Photography for Melanoma Early Detection
4. Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance
5. Standard Dermatoscope Images vs an Autonomous Total Body Photography and Dermoscopic Imaging Device
4.8
1919 ratings
Join Derms on Drugs for a riveting dive into artificial intelligence and automated skin cancer detection.
World-renowned expert Dr. Laura Ferris, with 20 years in the field, breaks down cutting-edge research and predicts the future of dermatology. Will AI "terminate" dermatologists or empower us to focus on complex cases and patient care? Expect fresh insights, practical takeaways, and lively banter that’ll make you a smarter clinician. Don’t miss this chance to stay ahead in the AI revolution!
Derms on Drugs is produced by Scholars In Medicine
For Resources links visit: Scholars In Medicine
1. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening?
2. 3D Total-Body Photography in Patients at High Risk for Melanoma
3. Promises and Pitfalls of 3D Total-Body Photography for Melanoma Early Detection
4. Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance
5. Standard Dermatoscope Images vs an Autonomous Total Body Photography and Dermoscopic Imaging Device
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