AI in Healthcare Informatics Special Track at FLAIRS
会议地点: Sarasota, Florida, USA
What is AI in Healthcare Informatics?
Healthcare informatics focuses on the efficient and effective acquisition, management, and use of information in healthcare. Advancing health informatics has been declared a Grand Challenge by the National Academy of Engineering and is a major area of emphasis for agencies such as the Centers for Medicare & Medicaid Services. As such, it has been identified as an area of national need. Sample uses of AI in health informatics includes expert systems for decision support, machine learning and data mining to discover patterns across patients, image analysis to assist in diagnosis, and natural language processing to extract information from free text medical documents.
What is the GOAL of the track?
A strength of FLAIRS is the diversity of areas represented by attendees. The goal of this track is to broaden participation by encouraging researchers in healthcare to submit and attend.
Who might be interested?
The track should be of interest to both computer scientists as well as researchers and providers in medicine.
What kind of studies will be of interest?
Papers and contributions are encouraged for any work relating to AI in Healthcare Informatics. Topics of interest may include (but are in no way limited to)
Machine learning and data mining in healthcare
NLP applications in healthcare
Intelligent healthcare decision support
Medical image processing
Processing and managing patient records