Computer aided formative assessment can be used to enhance a learning
process, for instance by providing feedback. There are many design choices for
delivering feedback, that lead to a feedback strategy. In an informative
feedback strategy, student... read more
Parameter-efficient fine-tuning (PEFT) of pre-trained foundation models is
increasingly attracting interest in medical imaging due to its effectiveness
and computational efficiency. Among these methods, Low-Rank Adaptation (LoRA)
is a notable appro... read more
Physical and engineering sciences in medicine
Jul 21, 2025
Endoscopy is a procedure that allows examination of the gastrointestinal system, including the stomach, esophagus, large intestine, and duodenum, with the help of an endoscope. Processing of endoscopic images is important for early detection and trea... read more
BMC medical informatics and decision making
Jul 21, 2025
BACKGROUND: Nosocomial infections are a major cause of morbidity and mortality in the ICU. Earlier identification of these complications may facilitate better clinical management and improve outcomes. We developed a dynamic prediction model that leve... read more
Journal of bioinformatics and computational biology
Jul 21, 2025
Ribonucleic acid (RNA) lies at the heart of the central dogma. It spans the breadth of biological functions, from information storage to gene regulation and catalysis. RNA molecules must attain specific structures to perform these functions, and thei... read more
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jul 21, 2025
OBJECTIVE: A growing amount of deep learning models for motor imagery (MI) decoding from electroencephalogram (EEG) have demonstrated their superiority over traditional machine learning approaches in offline dataset analysis. However, current online ... read more
Building high-quality data resources is crucial for advancing artificial
intelligence research and applications in specific domains, particularly in the
Chinese medical domain. Existing Chinese medical datasets are limited in size
and narrow in dom... read more
BACKGROUND: Child malnutrition represents a critical global public health issue and it is characterised by high prevalence and severe long-term consequences for growth and development. A better understanding of its contributory factors is essential t... read more
IEEE transactions on pattern analysis and machine intelligence
Jul 21, 2025
The success of deep learning in computer vision over the past decade has hinged on large labeled datasets and strong pretrained models. In data-scarce settings, the quality of these pretrained models becomes crucial for effective transfer learning. I... read more
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