AI Medical Compendium

Comment on "Replacing Multidisciplinary Team Meetings With Artificial Intelligence: Opportunities and Challenges".

Journal of gastrointestinal cancer May 6, 2026

Alignment between AI clinical decision tools and multidisciplinary tumor board decisions in prostate cancer.

International urology and nephrology May 6, 2026

PURPOSE: This study aimed to evaluate the concordance between treatment recommendations generated by LLMs and decisions made by a multidisciplinary uro-oncology tumor board. METHODS: Forty-eight consecutive prostate cancer cases previously discussed ... read more

The Pathophysiology of Spontaneous Preterm Birth: Emerging Mechanisms Reviewed by the Preterm Birth International Collaborative.

Reproductive sciences (Thousand Oaks, Calif.) May 6, 2026

Around 10% of global births are preterm (before 37 weeks of gestation), posing a significant challenge to maternal and neonatal health. Preterm infants face an increased risk of mortality and long-term health complications, impacting their survival a... read more

Artificial Intelligence Electrocardiogram and Left Ventricular Systolic Dysfunction in Kenya.

JAMA cardiology May 6, 2026

IMPORTANCE: Early detection of risk of heart failure with reduced ejection fraction remains challenging in resource-limited settings due to limited access to echocardiography. Artificial intelligence electrocardiogram (AI-ECG) algorithms have demonst... read more

Predicting the risk of venous thromboembolism events in older adults with rheumatoid arthritis after initiating targeted disease-modifying antirheumatic drugs: a comparison of the random survival forest and regularized cox regression models.

Current medical research and opinion May 6, 2026

OBJECTIVES: To develop a random survival forest (RSF) machine learning (ML) model for predicting venous thromboembolism (VTE) risk in rheumatoid arthritis (RA) patients initiating biological (b) or targeted synthetic (ts) disease-modifying antirheuma... read more

An efficient training methodology of a deep learning model for accurate stereological quantification of the ferrite-pearlite microstructure in steel.

Journal of microscopy May 6, 2026

This study introduces an automated deep learning-based methodology for precise and comprehensive characterisation of ferrite-pearlite microstructures. By leveraging a UNET-based Convolutional Neural Network (CNN) architecture, which has been named by... read more

Reproducibility assessment of Dextrusion: A deep learning pipeline for detecting epithelial cell extrusion events.

Journal of microscopy May 6, 2026

Reproducibility is essential for scientific software but can be hindered by technical and maintenance challenges. As part of the Global Bioimage Analyst Society reproducibility initiative, we evaluated Dextrusion, a deep learning pipeline for detecti... read more

Geometric Morphometric-Based Estimation as an Aid for Naso-Orbito-Ethmoidal Trauma Management.

The Journal of craniofacial surgery May 6, 2026

The naso-orbito-ethmoid (NOE) region comprises complex anatomy, and as such, NOE fractures present with a challenge during reconstruction. Restoring the pretraumatic facial form is often challenging, and patients may experience re-deformities. We eva... read more

Challenges of AI-generated stigmatizing language regarding substance use disorders.

Journal of addictive diseases May 6, 2026

Stigmatizing language describing substance use behaviors in clinical documentation and in patient education materials can harm patients and their families. Recent literature has discouraged the use of stigmatizing language in treatment settings and m... read more

Deep Learning-Based Cribriform Segmentation and Automated Olfactory Fossa Depth Estimation on Sinus CT.

International forum of allergy & rhinology May 6, 2026

Artificial Intelligence Medical Compendium