Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often …
Continuous imaging of cardiac functions is highly desirable for the assessment of long-term cardiovascular health, detection of acute cardiac dysfunction and clinical management of …
Following unprecedented success on the natural language tasks, Transformers have been successfully applied to several computer vision problems, achieving state-of-the-art results …
A Zhang, L Xing, J Zou, JC Wu - Nature Biomedical Engineering, 2022 - nature.com
In the past decade, the application of machine learning (ML) to healthcare has helped drive the automation of physician tasks as well as enhancements in clinical capabilities and …
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
B Gomes, EA Ashley - New England Journal of Medicine, 2023 - Mass Medical Soc
Artificial Intelligence in Molecular Medicine | NEJM Skip to main content NEJM Group Follow Us Facebook Twitter Instagram YouTube LinkedIn Prepare to become a physician, build your …
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques …
Artificial intelligence (AI) has been developed for echocardiography,–, although it has not yet been tested with blinding and randomization. Here we designed a blinded, randomized non …