BMC medical informatics and decision making
May 21, 2026
BACKGROUND: Reproducibility of computational algorithms is a challenging but crucial requirement for medical research and an important component of trustworthy training and application of AI algorithms. Federated Learning (FL) is commonly used to ena... read more
Cancer imaging : the official publication of the International Cancer Imaging Society
May 21, 2026
Computed tomography colonography, also known as virtual colonoscopy, is a minimally invasive imaging technique developed in the early 1990s to evaluate the colon for polyps, cancer, and other abnormalities. Advances in multidetector computed tomograp... read more
Hyperbaric oxygen therapy is established for decompression illness, carbon monoxide poisoning, radiation-induced tissue injury, and diabetic foot ulcers. Interest in neurological and inflammatory indications is growing, yet outcomes are constrained b... read more
AIMS AND OBJECTIVES: To systematically evaluate and compare the diagnostic accuracy of pressure injury risk assessment tools in critically ill adult patients through a network meta-analysis. DESIGN: Systematic review and network meta-analysis. METHOD... read more
International journal of neural systems
May 21, 2026
Timely and accurate detection of seizures from Electroencephalogram (EEG) signals is critical for the effective management of epilepsy. Although deep learning and artificial neural networks (ANNs) have substantially advanced automated seizure detecti... read more
Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine
May 21, 2026
BACKGROUND: Breastfeeding shows persistent disparities shaped by complex maternal, infant, and household factors, making prediction challenging. As traditional models struggle to capture such complexity, this study aims to identify predictors of ever... read more
Intensified fed-batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space-time yields relative to traditional, non-intensified fed-batch processes. However, the shift towards intensified manufacturing has ... read more
OBJECTIVES: In the current study, a convolutional neural network (CNN) model for estimating the skeletal muscle index (SMI) from lower leg digital images was developed, and its predictive performance was evaluated. METHODS: One hundred healthy adults... read more
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (DSS) can enhance early risk detection and treatment optimization. However, the perspectives of patien... read more
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