Currently, artificial intelligence (AI) heavily impacts all human activities, including medicine, where needs for data analysis and interpretation are high and where technology opens new perspectives. Considering that current treatments do not always...
Artificial intelligence's progress is spread on front pages of both lay and scientific journals. After Chess, after Go, before Dota2 and Starcraft, super-trained softwares have equaled or out-performed dermatologists. But what is the future of these ...
This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse drug reactions from social health networks using a deep learning–based signal generation pipeline to capture how patients describe cutaneous eruptions.
Studies in health technology and informatics
Jan 1, 2015
This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based...