AI Medical Compendium

PL-PatchSurfer3: improved structure-based virtual screening for structure variation using 3D Zernike descriptors.

Journal of cheminformatics May 14, 2026

Structure-based virtual screening (SBVS) is a widely used approach in in silico drug discovery, requiring a receptor structure or binding site to predict a ligand's binding pose and affinity. Consequently, the performance of SBVS depends on the prote... read more

Prognostic value of estimated pulse wave velocity for all-cause and cardiovascular mortality in individuals with cardiovascular-kidney-metabolic (CKM) syndrome: analyses of NHANES 2007-2018.

Diabetology & metabolic syndrome May 14, 2026

BACKGROUND: The impact of estimated pulse wave velocity (ePWV) on the prognosis of cardiovascular-kidney-metabolic (CKM) syndrome has not been explored. This study investigated the association between ePWV and mortality and its predictive performance... read more

Identification and validation of lactylation-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning.

Hereditas May 14, 2026

BACKGROUND: The pathogenic mechanisms underlying rheumatoid arthritis (RA) remain elusive. Lactylation, a novel post-translational modification, may regulate immune and metabolic reprogramming, underscoring the imperative to delineate lactylation-rel... read more

Distinct 3-Dimensional Anatomic Patterns Including Flatter Surfaces and Greater Sagittal Inclinations of Intra-articular Structures Are Reliably Identified Through an Artificial Intelligence-Based Pipeline in Anterior Cruciate Ligament-Injured Knees.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association May 14, 2026

PURPOSE: To evaluate whether an automated AI-based pipeline can identify 3-dimensional (3D) anatomic patterns associated with anterior cruciate ligament (ACL) injury from conventional magnetic resonance imaging (MRI) and accurately discriminate ACL-i... read more

Ionic Landscape Engineering via Perovskite Quantum Dots for Reliable and Energy-Efficient Perovskite Memristors.

ACS nano May 14, 2026

The rapid growth of data-intensive artificial intelligence workloads has exposed data movement in conventional von Neumann architectures as a critical bottleneck to both enhanced energy efficiency and reduced latency. Among the materials investigated... read more

A High-Speed Image AI Facilitating the Visual Assessment of the Membrane's Motion in EXCOR VAD.

Artificial organs May 14, 2026

BACKGROUND: Visual assessment of membrane motion is essential for managing EXCOR VAD, but accuracy depends on observer experience. We evaluated a high-speed image AI model to support healthcare providers. METHODS: Patients on EXCOR Pediatric admitted... read more

Machine Learning Models of Phase Contrast Images Predict Efficiency of Human Pluripotent Stem Cell Differentiation to Cardiomyocytes.

Biotechnology and bioengineering May 14, 2026

Terminal cell types derived from human pluripotent stem cells (hPSCs) are at the forefront of emerging cell and gene therapy products. hPSC-derived cardiomyocytes (hPSC-CMs) are of particular interest in understanding and treating heart disease, whic... read more

GRACE-MORE: A Motion-Resolved Golden-Angle Radial CEST MRI Technique for Free-Breathing Abdominal Imaging.

Magnetic resonance in medicine May 14, 2026

PURPOSE: To develop a motion-resolved acquisition and reconstruction framework for motion-robust and spectrally reliable abdominal CEST imaging under free-breathing conditions. THEORY AND METHODS: A framework termed Golden-angle RAdial CEST MRI with ... read more

Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study.

BJOG : an international journal of obstetrics and gynaecology May 14, 2026

OBJECTIVE: To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. DESIGN: Prospective cohort study. SETTING: BCNatal, a tertiary maternal-foetal medicine centre (Barcelona, Spain). POPULATION: A total of 482 ... read more

Comparison of machine learning methods for prediction of venous thromboembolism among hospitalized adults.

Journal of hospital medicine May 14, 2026

BACKGROUND: Hospital-acquired venous thromboembolism (HA-VTE) is a significant cause of morbidity and mortality among hospitalized adults. Accurate prediction of HA-VTE is crucial for timely intervention and prevention. While logistic regression is w... read more

Artificial Intelligence Medical Compendium