AI Medical Compendium

More Nodules, More Questions: The Efficiency and Value Paradox of Artificial Intelligence in Low-Dose Chest CT.

AJR. American journal of roentgenology Apr 8, 2026

Stoichiometric Modeling and Stability Analysis of Synthesis of Alkane Reactions Using PINNs with PDFP Optimization: Applications in Pharmaceutical, Rubber, and Fuel.

Journal of chemical information and modeling Apr 8, 2026

In this study, we present a physics-informed neural network for stoichiometric modeling and stability analysis of synthesis of alkane reactions with optimal control, motivated by applications in the pharmaceutical, rubber, and fuel industries. The re... read more

Radiopathomic Graph Deep Learning for Multiscale Spatial-Contextual Modeling of Intratumoral Heterogeneity to Predict Breast Cancer Response to Neoadjuvant Therapy.

Radiology. Artificial intelligence Apr 8, 2026

Purpose To develop an explainable radio-pathomic graph deep-learning (RPGDL) system for multiscale spatial-contextual modeling of intratumoral heterogeneity (ITH) and evaluate its performance for the prediction of pathologic complete response (pCR) t... read more

Development of an Integrated Deep Learning Approach for Detecting Fetal Brain Abnormalities in Routine Second Trimester Ultrasound Scan: A Multicenter Study.

Radiology. Artificial intelligence Apr 8, 2026

Purpose To develop and validate an anatomy-aware, two-stage, end-to-end deep learning (DL) pipeline for fetal brain abnormality automated detection on standardized second-trimester brain US images. Materials and Methods This retrospective multicenter... read more

Opportunistic Cardiovascular Risk Assessment Using Routine Head CT in the Emergency Department.

Journal of the American College of Cardiology Apr 8, 2026

BACKGROUND: Routine noncardiac computed tomography (CT) imaging may contain information about cardiovascular risk. Head computed tomography (CTH) is among the most common imaging studies, conducted annually in millions of patients. Its utility for ca... read more

Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial Fat.

Journal of the American College of Cardiology Apr 8, 2026

BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active visceral fat depot that is both a sensor and a modulator of myocardial biology and changes its composition in response to paracrine signals from the myocardium. We hypothesized tha... read more

Network toxicology and single-cell transcriptomics nominate candidate pyrethroid-associated targets and pathways in clear cell renal cell carcinoma.

Naunyn-Schmiedeberg's archives of pharmacology Apr 8, 2026

Pyrethroid insecticides are widely used in agricultural and domestic settings. Increasing evidence suggests that pyrethroid exposure may harm multiple organ systems and is associated with potential carcinogenicity. However, the mechanisms linking pyr... read more

Integrated multi-omics and experimental validation for identifying novel biomarkers of acute myocardial infarction.

Naunyn-Schmiedeberg's archives of pharmacology Apr 8, 2026

Acute myocardial infarction (AMI) remains a leading cause of morbidity and mortality, and early diagnosis and personalized therapy are constrained by complex molecular mechanisms. We integrated high-throughput bulk RNA sequencing with weighted gene c... read more

Does Hypotension Prediction Index limit the occurrence of postoperative complications associated with intraoperative hypotension? A systematic review and model-averaged Bayesian meta-analysis of statistically sound studies.

Journal of anesthesia Apr 8, 2026

Intraoperative hypotension (IOH) is considered a potential contributing factor to postoperative complications. In 2018, a machine-learning algorithm to predict hypotension has been included in the Hemosphere™ platform (Edwards Lifescience, USA), of w... read more

Predicting minimal clinically important difference after hip arthroscopy: logistic regression versus machine learning.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie Apr 8, 2026

PURPOSE: Hip arthroscopy outcomes for femoroacetabular impingement (FAI) remain heterogeneous, with 30-40% of patients failing to achieve meaningful improvement. We aimed to develop and validate a predictive model for achievement of minimal clinicall... read more

Artificial Intelligence Medical Compendium