Deep Learning Applications in Medical Image Analysis and Diagnosis

Dear Colleagues,

The promising impact of deep learning applications in medical image analysis and diagnosis could be jeopardized by a lack of proper clinical validation. The rising development of deep learning-based applications in this field contributes to the advances in artificial intelligence that have been claimed to be revolutionizing healthcare. However, these tools need to be clinically validated to be scientifically acceptable and gain the trust of patients and healthcare providers for routine clinical use. It is necessary to reinforce the scientific evidence on deep learning applications in medical image analysis and diagnosis. This Special Issue focuses on clinical validation methods for such applications. Researchers are encouraged to submit original clinical validation studies, thorough narrative or systematic reviews, and practical or instructional guidelines addressing clinical validation methods for deep learning applications in medical image analysis and diagnosis. This Special Issue covers all healthcare fields, including all medical specialties, quality and safety issues, and epidemiological and public health areas.

Dr. Jorge M. Núñez-Córdoba
Guest Editor

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