AI Medical Compendium

Renal graft imaging: An update and overview.

Seminars in nuclear medicine Feb 9, 2026

Imaging of renal graft function and pathology, including delayed graft function (DGF), often requires a multimodal approach. The existing literature describes a range of imaging modalities - radiography, computed tomography (CT), magnetic resonance i... read more

Deep Learning Reconstruction Combined with Contrast-Enhancement Boost Technique in "Quadruple-low" CCTA Protocol: Evaluation of Image Quality and Diagnostic Accuracy.

Academic radiology Feb 9, 2026

RATIONALE AND OBJECTIVES: To evaluate the impact of a deep learning reconstruction (DLR) algorithm combined with contrast-enhancement boost (CE-boost) technology on image quality and diagnostic performance in coronary CT angiography (CCTA) using a lo... read more

Beyond traditional publishing: the British Journal of Anaesthesia and social media in anaesthesia research.

British journal of anaesthesia Feb 9, 2026

Social media has fundamentally transformed anaesthesia education, research dissemination, and professional networking. The British Journal of Anaesthesia uses a multi-platform strategy overseen by a dedicated Social Media Editor and Fellows. Despite ... read more

Advances in the postoperative care of the liver transplant recipient.

Current opinion in critical care Feb 9, 2026

PURPOSE OF REVIEW: Survival rates following liver transplantation now exceed 90% at one year. However, the patient group undergoing liver transplantation is increasingly complex, requiring continued focus on improving perioperative care to sustain th... read more

Dental students' knowledge, perceptions, and educational needs regarding artificial intelligence: a multinational cross-sectional survey.

BMC medical education Feb 9, 2026

AIMS: To explore undergraduate dental students' AI knowledge, perceptions, and concerns, and to identify their educational needs based on these findings. METHODS: A cross-sectional, anonymous survey was conducted using a 30-item online questionnaire ... read more

CGE-GAN: Contrastive-guided evolutionary generative adversarial networks with dynamic adaptive weight sharing.

Neural networks : the official journal of the International Neural Network Society Feb 9, 2026

Generative adversarial networks (GANs) have achieved remarkable success in image synthesis but faces major challenges, including mode collapse, training instability, and inefficient architecture search. Existing evolutionary GANs partially address th... read more

An efficient, scalable, and adaptable plug-and-play temporal attention module for motion-guided cardiac segmentation with sparse temporal labels.

Medical image analysis Feb 9, 2026

Cardiac anatomy segmentation is essential for clinical assessment of cardiac function and disease diagnosis to inform treatment and intervention. Deep learning (DL) has improved cardiac anatomy segmentation accuracy, especially when information on ca... read more

Machine learning in forensic toxicology: Concepts, applications and challenges in bioanalysis, ADME, and toxicodynamics.

Forensic science international Feb 9, 2026

Forensic toxicology focuses on the detection, quantification, and interpretation of medicinal and recreational drugs, other chemicals or poisons, and their metabolites in biological matrices. Chromatography, combined with mass spectrometry (MS), is t... read more

What's new in intravenous anaesthesia?

Current opinion in anaesthesiology Feb 9, 2026

PURPOSE OF REVIEW: Advances in intravenous anaesthesia are driven by the need for agents with improved safety, enhanced hemodynamic stability, predictable recovery profiles, and overall patient safety. This review summarizes recent advances in intrav... read more

Classification of liver tissue pathological changes via optical biopsy based on refractive index sensing.

Biosensors & bioelectronics Feb 9, 2026

Optical biopsy enables minimally invasive, quantitative tissue assessment, yet clinically useful implementations require rapid and objective decision-making from compact sensors. We present a refractive-index (RI) driven classification framework base... read more

Artificial Intelligence Medical Compendium