AI for Advanced Biomedical Applications

Artificial Intelligence (AI) is advancing biomedical science in many ways, from improving image-based diagnostics to engineering strategies for improving movement related to injury, birth defects, or neurological or cardiovascular disease, to predicting behavior and nerve responses to stimuli. BME Frontiers is assembling a special issue highlighting the latest applications of AI to biomedical science and invites you to submit your research for consideration.

The focus will be primarily on the application of AI to biomedical imaging, however, studies related to other biomedical applications of AI are welcome. If your research applies AI to any of these areas, we encourage you to submit: 

• Learning-based algorithms for biological or medical imaging, including disease diagnosis and prognosis, improving image clarity or resolution, and enabling cross-modality comparison
• Automated approaches, such as computer vision, to localizing and tracking moving targets
• Image-guided therapy, including planning for and execution of surgical procedures and during surgical interventions
• Image-omics and radiomics in disease diagnosis and therapy, including quantitative approaches to molecular diagnostic and therapeutic imaging
• Discovery-based applications of AI in biomedicine 
• Fusion of machine learning and domain knowledge, including feature extraction and computational modeling from biomedical images and annotation-efficient learning from biomedical imaging
• Biomedical image synthesis and editing
• Detection and segmentation from biomedical images

Professor Rama Chellappa, Johns Hopkins University
Professor S. Kevin Zhou, University of Science and Technology of China
Professor Jeremy Walston, Johns Hopkins School of Medicine

October 31, 2021

Please indicate in your cover letter that your submission is intended for inclusion in the special issue, AI for Advanced Biomedical Applications.