Title: Stanford Seminar - Deep Learning for Medical Diagnoses
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Stanford Seminar - Deep Learning for Medical Diagnoses

Stanford University via YouTube

Description

This course aims to teach learners about the application of deep learning in medical diagnoses. The learning outcomes include understanding traditional clinical diagnostic procedures, utilizing machine learning frameworks, detecting abnormalities in medical images such as X-rays, interpreting diagnostic results, and exploring the future of diagnostic support with artificial intelligence. The course covers topics such as arrhythmia detection, continuous monitoring, network architectures like Residual Networks and Wide ResNets, and the challenges of automated detection in the medical field. The teaching method involves lectures on various topics related to deep learning in medical diagnoses. This course is intended for healthcare professionals, data scientists, researchers, and anyone interested in the intersection of artificial intelligence and healthcare.

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Online Courses
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57 minutes

Stanford Seminar - Deep Learning for Medical Diagnoses

Stanford University
Find study group
Affiliate notice

This course aims to teach learners about the application of deep learning in medical diagnoses. The learning outcomes include understanding traditional clinical diagnostic procedures, utilizing machine learning frameworks, detecting abnormalities in medical images such as X-rays, interpreting diagnostic results, and exploring the future of diagnostic support with artificial intelligence. The course covers topics such as arrhythmia detection, continuous monitoring, network architectures like Residual Networks and Wide ResNets, and the challenges of automated detection in the medical field. The teaching method involves lectures on various topics related to deep learning in medical diagnoses. This course is intended for healthcare professionals, data scientists, researchers, and anyone interested in the intersection of artificial intelligence and healthcare.

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