Week of Events
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23)
The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), sponsored by the IEEE Engineering in Medicine and Biology Society (IEEEEMBS), is EMBS’s primary technical conference on informatics and computing in healthcare and life sciences. BHI 2023 will take place in Pittsburgh, Pennsylvania from October 15-18, 2023. 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.
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23)
The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), sponsored by the IEEE Engineering in Medicine and Biology Society (IEEEEMBS), is EMBS’s primary technical conference on informatics and computing in healthcare and life sciences. BHI 2023 will take place in Pittsburgh, Pennsylvania from October 15-18, 2023. 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.