AI Medical Compendium

Super-adhesive sensor based on amylopectin-polyacrylic acid hydrogel for deep learning-assisted sign language recognition.

Journal of colloid and interface science Jan 17, 2026

Flexible wearable electronic devices have garnered substantial research attention and emerged as a pivotal technology across diverse domains, ranging from healthcare monitoring to human-machine interaction. Despite significant advancements in flexibl... read more

Beyond binary diagnosis: Key questions on AI accuracy, real-world applicability, and safety in clinical decision support.

International journal of medical informatics Jan 17, 2026

This comment relates to Kücking et al.'s (2026) study on the bidirectional effects of artificial intelligence recommendations and healthcare provider related factors on the accuracy of wound impregnation diagnosis. While acknowledging the valuable co... read more

U2AD: Uncertainty-based unsupervised anomaly detection framework for detecting T2 hyperintensity in MRI spinal cord.

Medical image analysis Jan 17, 2026

T2 hyperintensities in spinal cord MR images are crucial biomarkers for conditions such as degenerative cervical myelopathy (DCM). However, current clinical diagnoses primarily rely on manual evaluation. Deep learning methods have shown promise in le... read more

Predicting functional results of percutaneous coronary intervention using machine learning modelling.

International journal of cardiology Jan 17, 2026

BACKGROUND: Post-percutaneous coronary intervention (PCI) Murray's law-based quantitative flow ratio (μFR) is associated with long-term clinical outcomes. A tool capable of accurately predicting post-PCI μFR before intervention could support procedur... read more

Compact Fluorescence Sensor with Silicon Photomultiplier and Neural Network Enhancement for Real-Time Total Organic Carbon Monitoring in Water.

Environmental research Jan 17, 2026

Real-time monitoring of total organic carbon (TOC) is essential for assessing water quality, optimizing treatment processes, and safeguarding aquatic ecosystems. This study reports the development of a compact LED-SiPM fluorescence sensor, integrated... read more

[Computerized intrapartum cardiotocography: current evidence, controversies, and future directions].

Gynecologie, obstetrique, fertilite & senologie Jan 17, 2026

Cardiotocography (CTG) is defined as the simultaneous recording of fetal heart rate and uterine contractions. It is used worldwide during labour to assess foetal well-being and to detect early signs of hypoxia. However, its interpretation relies main... read more

Gene Modification: Exploring the potential in treating kidney diseases.

Pharmacological research Jan 17, 2026

Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow but do not cure or prevent progression to end-stage kidney disease. Unfortunately, dialysis and kidney transplant not only pose severe lifestyle constr... read more

Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track.

Journal of biomedical informatics Jan 17, 2026

OBJECTIVE: Recent advances in language models have shown potential to adapt professional-facing biomedical literature to plain language, making it accessible to patients and caregivers. However, their unpredictability and high potential for harm in t... read more

Accelerating dataset generation for machine learning using large language models: a pharmaceutical additive manufacturing case.

International journal of pharmaceutics Jan 17, 2026

Creating high-quality datasets for training machine learning models in specialized domains like pharmaceutical research is often constrained by the manual effort required to extract and compute critical parameters from heterogeneous literature. A nov... read more

Deep learning-guided engineering of pectinase for enhanced catalytic performance in tobacco processing.

Bioresource technology Jan 17, 2026

Deep learning is revolutionizing enzyme engineering through efficient residue redesign. Leveraging deep learning for enzyme engineering, we redesigned a pectinase using ProteinMPNN guided by multiple sequence alignment. Our top-performing variant, DS... read more

Artificial Intelligence Medical Compendium