AI Medical Compendium

From Local Atomic Structure to X-ray Spectra: Absorber-Centric Machine-Learning Encoding.

The journal of physical chemistry. A May 6, 2026

X-ray spectroscopy provides sensitive, element-specific insight into local geometric and electronic structures, but predictive first-principles simulations can be computationally expensive for large and chemically diverse molecular systems. Recent ma... read more

The Role of Digital Pathology in Optimizing the Quality and Timeliness of Intraoperative Consultation.

International journal of surgical pathology May 6, 2026

BackgroundIntraoperative consultation using frozen sections has been crucial for guiding surgical decisions, but has often been limited by the time and financial costs associated with pathologists traveling to remote sites. The recent regulatory appr... read more

Artificial Intelligence and Physical Activity for Mental Health in Cognitively Impaired Older Adults.

Journal of psychiatric and mental health nursing May 6, 2026

Automatic Extraction of PET RANO Criteria with an Externally Validated Deep Learning Model: Application to [18F]FDOPA PET Imaging.

Neuro-oncology May 6, 2026

BACKGROUND: Automatic segmentation of gliomas on amino acid PET is essential for quantitative tumor assessment, a pillar in monitoring gliomas under treatment. This study aimed to develop a deep learning model for the automated extraction of PET RANO... read more

Radiomics-enhanced machine learning for differentiating epidural and subdural hematomas on non-contrast CT.

Neurological research May 6, 2026

BACKGROUND: Differentiating epidural hematoma (EDH) from subdural hematoma (SDH) on non-contrast CT (NCCT) is clinically important but can be challenging when imaging features overlap. This study evaluated whether radiomic features combined with mach... read more

Improving Readability of Stroke Clinical Trial Consent Forms Using Artificial Intelligence.

Stroke May 6, 2026

BACKGROUND: Informed consent forms (ICFs) for clinical trials are often written above the recommended eighth-grade level. We aimed to compare the readability of original ICFs used for National Institutes of Health-funded stroke-related clinical trial... read more

Incremental Prognostic Power of Coronary Flow Reserve and Artificial Intelligence-Enabled ECG-Derived Filling Pressure in Angina With Nonobstructive Coronary Arteries.

Journal of the American Heart Association May 6, 2026

BACKGROUND: Coronary flow reserve reflects microvascular function, whereas filling pressure indicates myocardial hemodynamic burden. In angina with nonobstructive coronary arteries, abnormalities in either could contribute to a supply-demand mismatch... read more

Automated analysis of C. elegans behavior by LabGym: an open-source, AI-powered platform.

G3 (Bethesda, Md.) May 6, 2026

The genetic tractability, well-mapped circuitry, and diverse behavioral repertoire of the nematode C. elegans make it an ideal model for physiological and behavioral studies. A wide range of methods has been developed for analyzing C. elegans behavio... read more

Ensemble Machine Learning for Interpretable Prediction of Acute Toxicity in Metal-Organic Framework Linkers.

Journal of chemical information and modeling May 6, 2026

Metal-organic frameworks (MOFs) are promising platforms for drug delivery due to their high porosity, tunable chemistry, and controlled release capabilities. However, their clinical translation is limited by insufficient safety data, particularly reg... read more

Examining the utility of digital phenotyping for the prediction of intrusive experiences.

European journal of psychotraumatology May 6, 2026

Background: Intrusive experiences related to witnessing a traumatic event are the core symptom of post-traumatic stress disorder (PTSD), and have been shown to be predicted by peritraumatic emotional arousal. However, research into the role of peritr... read more

Artificial Intelligence Medical Compendium