AI Medical Compendium

Explainable machine learning-based 28-day mortality prediction model for elderly patients with acute kidney injury.

BMC nephrology Feb 5, 2026

Elderly patients with acute kidney injury (AKI) face a significantly increased mortality risk. Recent advances in machine learning technology have made it possible to predict the risk of death in patients at an early stage, which help to enable timel... read more

Meconium metabolomic profiling dysregulation and neonatal brain injury in selective fetal growth restriction.

BMC pregnancy and childbirth Feb 5, 2026

BACKGROUND: Meconium serves as a valuable biological matrix for characterizing fetal metabolic signatures throughout gestation. Selective fetal growth restriction (sFGR) is associated with adverse neurological outcomes, potentially mediated by underl... read more

Fusion of deep learning and radiomics with dynamic spatiotemporal modeling for non-small cell lung cancer recurrence risk assessment after microwave ablation.

BMC medical imaging Feb 5, 2026

Emergence of clustered synapses during the development of a nervous system.

BMC biology Feb 5, 2026

BACKGROUND: Synaptic organization is central for proper transmission of neural information. Studies in invertebrates and mammalian cortices show that synapses are clustered along neurite extensions, an organization that promotes key functional roles.... read more

A comparative evaluation of two large language models in pediatric dentistry.

BMC oral health Feb 5, 2026

Temporal machine learning framework for diabetic foot ulcer healing trajectory prediction.

Biomedical engineering online Feb 5, 2026

OBJECTIVES: Diabetic foot ulcer management relies predominantly on reactive treatment adjustments based on current wound status. This study developed an accessible machine learning framework using routinely collected clinical metadata (no imaging req... read more

Medical students perceptions and attitudes toward the use of generative artificial intelligence in clinical decision-making: a nationwide cross-sectional survey in China.

BMC medical education Feb 5, 2026

Association between the remnant cholesterol and the risk of new-onset chronic diseases: evidence from CHARLS.

Diabetology & metabolic syndrome Feb 5, 2026

StainStyleSampler: clustering-based sampling of whole slide image appearances.

Diagnostic pathology Feb 5, 2026

The appearance of whole slide biopsy images is greatly affected by various factors such as laboratory procedures or the choice of digital slide scanners. The resulting variations in image styles within and across batches of histological images repres... read more

Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality.

Critical care (London, England) Feb 5, 2026

Artificial Intelligence Medical Compendium

Explainable machine learning-based 28-day mortality prediction model for elderly patients with acute kidney injury.

Meconium metabolomic profiling dysregulation and neonatal brain injury in selective fetal growth restriction.

Fusion of deep learning and radiomics with dynamic spatiotemporal modeling for non-small cell lung cancer recurrence risk assessment after microwave ablation.

Emergence of clustered synapses during the development of a nervous system.

A comparative evaluation of two large language models in pediatric dentistry.

Temporal machine learning framework for diabetic foot ulcer healing trajectory prediction.

Medical students perceptions and attitudes toward the use of generative artificial intelligence in clinical decision-making: a nationwide cross-sectional survey in China.

Association between the remnant cholesterol and the risk of new-onset chronic diseases: evidence from CHARLS.

StainStyleSampler: clustering-based sampling of whole slide image appearances.

Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality.

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