AI Medical Compendium

Diagnostic Proficiency of Large Language Models in the Interpretation of Cervical Cytopathology.

International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists May 6, 2026

To evaluate the diagnostic proficiency of well-established multimodal Large Language Models (LLMs)-specifically Gemini, Claude, and Copilot-in interpreting cervical cytopathology (PAP smears). This diagnostic accuracy study used 30 representative cas... read more

Machine learning-based information flow analysis of ECG signals for long QT syndrome.

Physiological measurement May 6, 2026

Cardiovascular diseases remain the leading cause of death worldwide, highlighting the need for non-invasive and cost-effective risk assessment tools. Biological systems, including the heart, exhibit complex nonlinear dynamics arising from interaction... read more

Clinical Applicability Considerations in Ultrasound-Based Machine Learning Models for BI-RADS 4A Lesions.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 6, 2026

National Institute of Allergy and Infectious Diseases (NIAID) - Bundeswehr Institute of Radiobiology (BIR) Joint Programmatic Workshop on a Global Approach to Medical Countermeasure Development in Radiological Public Health Preparedness.

Radiation research May 6, 2026

This invited commentary grew out of a presentation made at the 2025 ConRad Meeting in Munich, Germany, and summarizes talks made by researchers supported by the National Institute of Allergy and Infectious Diseases (NIAID) and the Bundeswehr Institut... read more

MORGAS (MORtality ORiented Glucose, Age, Smoking, and Stent Score) predicts mortality after percutaneous coronary intervention.

Acta cardiologica May 6, 2026

BACKGROUND: Accurate prediction of mortality after percutaneous coronary intervention (PCI) remains a clinical challenge. Existing risk scores often lack specificity or require complex variables, limiting bedside applicability. This study introduces ... read more

Early sepsis prediction using a hybrid LSTM-GAT model: a study on the PhysioNet 2019 dataset.

BMJ health & care informatics May 6, 2026

OBJECTIVE: Sepsis is a potentially fatal systemic response to infection, in which early clinical intervention is critical to reduce mortality. This study presents a hybrid deep learning model that combines temporal and structural information from cli... read more

Self-regulating the use of large language models in clinical practice: a risk-stratified approach.

BMJ health & care informatics May 6, 2026

The rapid integration of large language models (LLMs) into clinical practice offers promising benefits, including assistance with documentation, decision support and patient communication. However, these advantages are tempered by concerns around mod... read more

Beyond Diagnosis: A Systematic Review of Artificial Intelligence and Deep Learning in Monitoring Iron Overload and Organ Toxicity in Beta-Thalassemia.

Hemoglobin May 6, 2026

Transfusion-dependent β-thalassemia (B-TM) is complicated by progressive iron overload, remaining a primary cause of organ toxicity and mortality despite chelation therapy advances. Accurate monitoring of hepatic and cardiac iron levels is crucial. T... read more

Positron emission tomography imaging of inflammation and infection in children: an update.

Seminars in nuclear medicine May 6, 2026

Positron emission tomography (PET) has been used in pediatric oncology since the modality gained traction 20 years ago but has been used more sparingly in infectious and inflammatory diseases due to the ionizing radiation involved. However, more rece... read more

Comment on "Artificial intelligence algorithms effectively classify 38 movements in infants born full-term and preterm recorded in the laboratory and at home".

Journal of the Formosan Medical Association = Taiwan yi zhi May 6, 2026

Artificial Intelligence Medical Compendium