Current opinion in structural biology
Apr 13, 2026
Generative artificial intelligence models learn probability distributions from data and produce novel samples that capture the salient properties of their training sets. Proteins are particularly attractive for such approaches given their abundant da... read more
OBJECTIVES: Artificial intelligence (AI) systems are increasingly applied in public health, yet their use for analysing fragmented, multi-sectoral policy landscapes remains underdeveloped. This study aimed to describe the development and preliminary ... read more
AIM/OBJECTIVE: This study aimed to examine the relationships between AI literacy, medical AI readiness, and individual innovativeness among nursing students. BACKGROUND: Integrating artificial intelligence (AI) into healthcare requires future nurses ... read more
OBJECTIVE: To understand whether cancer-neutral image attributes (breast area and number of slices) impact an AI algorithm assessment of negative digital breast tomosynthesis (DBT) screening exams. METHODS: This retrospective cohort study included wo... read more
OBJECTIVE: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, underscoring the need for tools to stratify individual risk of disease progression. We evaluated whether logistic regression models augme... read more
Physics and imaging in radiation oncology
Apr 13, 2026
BACKGROUND AND PURPOSE: Electronic portal imaging devices (EPID) can be utilized for transit in vivo dosimetry (IVD). A major limitation of standard amorphous Silicon EPID detectors for usage IVD is their non-linear detector response to water equival... read more
Technical innovations & patient support in radiation oncology
Apr 13, 2026
PURPOSE: In this prospective cross-over study, the precision of manual correction of the clinical target volume (CTV) during online-adaptive radiotherapy (ART) of patients with bladder cancer was investigated in dependence on the input of applied com... read more
International journal of medical informatics
Apr 12, 2026
BACKGROUND: AI-based burn depth assessment is rapidly emerging, yet evidence for diagnostic accuracy, generalizability, and deployment readiness remains unclear. METHODS: We performed a PRISMA-DTA-aligned systematic review and meta-analysis. We synth... read more
OBJECTIVE: To determine the added value of post-hoc convolutional neural network (CNN)-based denoising for low-radiation coronary CT angiography (CCTA). METHODS: In this IRB-approved, post-hoc study, consecutive patients underwent clinically indicate... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.