IEEE BHI 2024: Deep Medicine and AI for Health

https://bhi.embs.org/2024/

The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), sponsored by the IEEE Engineering in Medicine and Biology Society (IEEE EMBS), is EMBS’s primary technical conference on informatics and computing in healthcare and life sciences. BHI 2024 will take place in Houston, Texas,  from November 10-13, 2024. It will provide a unique forum to showcase basic and translational research on big data analytics and machine learning that address challenges in the acquisition, transmission, processing, security, visualization, and interpretation of vast volumes of multi-modal biomedical data, as well as related social, behavioral, environmental, and geographical data. It will also demonstrate the deployment of BHI informatics solutions that integrate key technologies including artificial intelligence, machine learning, mHealth, e-Health, human-computer interface, telemedicine, bioinformatics, sensors, imaging, and public health monitoring, to achieve patient-centric and outcome-driven effective health care.

Important Information

·        Inception of 8-page papers in IEEE Journal of Biomedical and Health Informatics format: 8-page J-BHI format papers will be evaluated by JBHI (IF: 7.7) EiC and accepted papers will be published in JBHI Special Issue.

·        Opportunities for regular conference papers and 1-page abstracts

·        Open Access: BHI 2024 proudly features Open-Access publishing for accepted regular papers.

·        Accepted regular conference papers for publishing in IEEE Xplore

·        Open Double-Blind Review for high quality: BHI 2024 will use openreview for establishing open review processes.

·        Best paper awards for recognizing innovative and excellence research

·        Continuing Medicine Education (CME) credits for clinicians

·        Travel Awards: for undergraduate and graduate students from US Institutions are available through a National Science Foundation (NSF) grant.

·        Data competition and awards for students

·        Student resume database and career fair

 The topical areas of interest include but are not limited to the following:

·        Intelligent reality and metaverse

·        AI for combating long COVID

·        AI-based clinical decision support systems

·        Large Language Models for biomedical and clinical research

·        Biomedical Generative AI

·        AI for biomarker discovery and drug design

·        Digital radiology and pathology

·        Single-cell and spatial omics

·        Cancer genomics and immunotherapy

·        Digital health

·        Biomedical digital twins

Important Dates