AI Medical Compendium

Improving confidence in MRI-based auto-segmentation via uncertainty assessment.

Acta oncologica (Stockholm, Sweden) May 11, 2026

BACKGROUND AND PURPOSE: Accurate delineation of organs of interest (OOIs, also commonly referred to as organs at risk, OARs) is crucial for safe radiotherapy. While deep learning-based segmentation using convolutional neural networks has achieved hig... read more

Predicting the Thermodynamic Limits of Metal-Organic Framework Metastability.

Journal of the American Chemical Society May 11, 2026

The vast combinatorial space of metal-organic frameworks (MOFs) has led to their widespread consideration across diverse application areas. That said, much remains unknown about what factors govern their thermodynamic stability. Herein, we use densit... read more

Big Data and Trustworthy AI for Heart Failure: A Review.

Circulation. Heart failure May 11, 2026

The rapid evolution of machine learning techniques, combined with the growing availability of large and diverse data sets, is poised to transform heart failure research and clinical care. This review first provides an overview of key machine learning... read more

Prediction of Acute Liver Injury Trajectory in Patients Following Acetaminophen Overdose: A Multibiomarker Machine Learning Proof-of-Concept Study.

Clinical pharmacology and therapeutics May 11, 2026

Clinical translation of novel therapies can be hindered by heterogeneity-driven sample size inflation in late-stage trials. In acetaminophen-induced liver injury (APAP DILI), many patients recover spontaneously, diluting investigational drug efficacy... read more

SPSignal: a web tool for structure-assisted prediction of nuclear localization and nuclear export signals in proteins.

Nucleic acids research May 11, 2026

Nuclear localization signals (NLSs) and nuclear export signals (NESs) mediate nucleocytoplasmic transport of proteins through the nuclear pore complex and are essential determinants of protein function. However, their short and degenerate sequence pa... read more

Screening of Sepsis Diagnostic Biomarkers Based on Fumarate Metabolism-Related Genes with Analysis of Immune Infiltration and Subtype Identification.

Immunological investigations May 11, 2026

BACKGROUND: Sepsis is a major global health challenge characterized by a complex pathogenesis involving an early hyperinflammatory phase followed by a subsequent immunosuppressive state. Recent studies have revealed that dysregulation of fumarate met... read more

Artificial Intelligence Centrality in Psychotic Delusions and Violence Risk in Forensic Psychiatry: Observational Study of Judicial Decisions.

Journal of medical Internet research May 11, 2026

BACKGROUND: Artificial intelligence (AI)-themed delusions are increasingly observed in psychotic-spectrum disorders, reflecting the incorporation of contemporary sociotechnical elements into delusional systems. While prior research has examined the p... read more

Predicting drainage success of peritonsillar abscesses: a radiomics-based machine learning approach using contrast-enhanced computed tomography.

Diagnostic and interventional radiology (Ankara, Turkey) May 11, 2026

PURPOSE: To develop and validate radiomics-based machine learning models combined with clinical parameters derived from venous phase contrast-enhanced computed tomography (CECT) for predicting drainage success in patients with peritonsillar abscess (... read more

Machine learning-based differentiation of major depressive disorder and bipolar disorder using entropy-derived EEG biomarkers in drug-naïve patients.

CNS spectrums May 11, 2026

A Linear Mixed Effects Model for Evaluating Synthetic Gene Circuits.

ACS synthetic biology May 11, 2026

One significant advancement in synthetic biology is the development of synthetic gene circuits with predictive Boolean logic. However, there is no universally accepted or applied statistical test to analyze the performance of these circuits. Many bas... read more

Artificial Intelligence Medical Compendium