Description
+ Include: 9 videos + 9 pdfs, size: 4.22 GB
+ Target Audience: medical diagnosis in general and dermatologic diagnosis in particular
+ Sample video: contact me for sample video
+ Information:
Thursday, October 31, 2019, 8:00 AM – 5:00 PM EST, Zuckerman Research Center, 417 East 68th Street, New York, NY
The purpose of this course is to provide clinicians, scientists, and students with an overview of the ways that exciting progress in imaging technologies and computer science combined with changes healthcare delivery will impact the future of dermatology. There will be ample time for questions and discussions throughout the sessions.
The target audience for this course includes clinicians, researchers, students and industry motivated to anticipate and participate in the application of digital technology for dermatologic care.
The course will consist of a series of presentations followed by panel discussions and Q&A with faculty.
- Understand the opportunities and barriers to leveraging computer informatics for the diagnosis of skin cancers
- Understand the benefits of and challenges to the integration of dermatologic photography with electronic medical records (EMR)
- Understand the benefits, limitations and legal barriers of teledermatology
+ Topics:
Application of Digital Technology in Dermatology – The Stanford Experience.mp4
Application of Digital Technology in Dermatology – The Stanford Experience.pdf
Apps Every Dermatologist Should Have on Their Phone.mp4
Apps Every Dermatologist Should Have on Their Phone.pdf
Big Data and Artificial Intelligence- The future of Dermatology in China.mp4
Big Data and Artificial Intelligence- The future of Dermatology in China.pdf
DermInformatics_2019Brochure.pdf
Implementation of a 3D Total Body Imaging Network for the Early Detection of Melanoma.mp4
Implementation of a 3D Total Body Imaging Network for the Early Detection of Melanoma.pdf
Introduction and Welcome.mp4
Introduction and Welcome.pdf
Panelist Discussion and Q&A I.mp4
Panelist Discussion and Q&A II.mp4
Problem Based Innovation- Smarter Allergy Testing.pdf
The ISIC 2019 Challenge – The Current State of AI for Dermatologic Diagnosis.mp4
The ISIC 2019 Challenge – The Current State of AI for Dermatologic Diagnosis.pdf
What Can Humans Learn from Machines.mp4
What Can Humans Learn from Machines.pdf
Reviews
There are no reviews yet.