Latest AI and machine learning research in product alert for healthcare professionals.
The introduction of LAFOV PET scanners brings significant sensitivity gains but also a substantial i...
Recent diffusion models have achieved remarkable realism in facial image synthesis, posing growing c...
Background: Medical-AI publications do more than report technical performance; they also frame AI as...
Drug-drug interactions between biotech and small-molecule drugs play a critical role in medication s...
Motivation: Deep learning classifiers for medical image analysis typically function as black boxes, ...
Background: Post-stroke dysphagia (PSD) contributes to aspiration, pneumonia, malnutrition, prolonge...
Black-box models limit the adoption of artificial intelligence in medicine due to their lack of inte...
The cost of healthcare remains a concern in the United States and may have been influenced by disrup...
Limited-angle digital breast tomosynthesis (DBT) reconstructs a volume from a few low-dose projectio...
_ SURPASS-HF: Safety and Utility of Remote Pulmonary Artery Sensor Shared-management in Heart Failur...
When a large disaster strikes, responders need a map of which buildings are damaged within hours. Th...
Humans make emotional facial expressions and have a cardiac response when they catch themselves in a...
Symbolic regression (SR) discovers analytical equations from data, yielding glass-box models with di...
Accurate interpretation of planar ventilation-perfusion (V/Q) scintigraphy, used for diagnosing pulm...
The Internal Waves Service screens the Sentinel-1 Wave-mode archive for internal solitary waves, rou...
Three audiences -- the family of a newly diagnosed Ewing sarcoma patient, the long-term survivor, an...
- Objective: Multimodal deep learning models in oncology are currently limited by monolithic designs...
When randomized controlled trials are infeasible, researchers may leverage natural experiments for c...
Accurate prediction of patient-specific therapeutic response from pre-treatment transcriptomes is hi...
Error monitoring allows for detecting mistakes and adapting behavior. Error monitoring is associated...
Reliable confidence estimates are essential in semantic segmentation, especially in safety-critical ...