Expanding Personalized, Data-Driven Dermatology: Leveraging Digital Health Technology and Machine Learning to Improve Patient Outcomes
The current revolution of digital health technology and machine learning offers enormous potential to improve patient care. Nevertheless, it is essential to recognize that dermatology requires an approach different from those of other specialties. For many dermatological conditions, there is a lack...
Main Authors: | Shannon Wongvibulsin, Tracy M. Frech, Mary-Margaret Chren, Eric R. Tkaczyk |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-05-01
|
Series: | JID Innovations |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667026722000121 |
Similar Items
-
Embracing machine learning and digital health technology for precision dermatology
by: Shannon Wongvibulsin, et al.
Published: (2020-07-01) -
Digital Health Sensing for Personalized Dermatology
by: Pier Spinazze, et al.
Published: (2019-08-01) -
Vaccines and dermatology: Expanding the role of dermatology clinics in the name of public health
by: Charles Dunn, MD, et al.
Published: (2022-09-01) -
A Report and Proposals for Future Activity from the Inaugural Artificial Intelligence in Dermatology Symposium Held at the International Societies for Investigative Dermatology 2023 Meeting
by: Shannon Wongvibulsin, et al.
Published: (2024-01-01) -
Editorial: Leveraging machine learning for omics-driven biomarker discovery
by: Sheng Li, et al.
Published: (2023-01-01)