AI for Healthcare Research & Education

AI Perspectives & Advances (AIPP) publishes high-quality work that aims to address key pieces of the “AI puzzle” –fundamental topics of the field that beg for a breakthrough to move AI forward– and practical applications thereof that are poised to inspire and define the next generation of AI-based automation.

BioData Mining is an open access, open peer-reviewed, informatics journal encompassing research on all aspects of Artificial Intelligence (AI), Machine Learning, and Visual Analytics, applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, genomic, metabolomic data and/or electronic health records, social determinants of health, and environmental exposure data.

Intelligence-Based Medicine is a new open access journal that aims to create meaningful synergy between practicing clinicians and others (computer scientists, data scientists, engineers, cognitive scientists, entrepreneurs, etc) in deploying methods of artificial intelligence and human cognition in the practice of medicine and the delivery of healthcare. The primary focus of the journal is on the clinical perspective and translation of emerging technologies into care practices and patient benefits.

Explore the latest advances in the application of artificial intelligence in medicine – from clinical practice to research and education.

JMIR AI is a new open access journal that focuses on the applications of AI in health settings. This includes contemporary developments as well as historical examples, with an emphasis on sound methodological evaluations of AI techniques and authoritative analyses. It is intended to be the main source of reliable information for health informatics professionals to learn about how AI techniques can be applied and evaluated.

NEJM AI covers the application of AI methodologies and data science to biomedical informatics, connected health, telemedicine, medical images and imaging, personalized medicine, policy and regulation, and the ethical and medicolegal implications of AI.