AI Medical Compendium

Alignment of Lived Experience Questions with the Medical Literature in Bipolar Disorder: A Topic Modelling Approach: Adéquation entre les questions relatives à l'expérience vécue et la littérature médicale concernant le trouble bipolaire : Une approche de modélisation de sujets.

Canadian journal of psychiatry. Revue canadienne de psychiatrie May 8, 2026

ObjectiveThe priorities of people with mental health challenges should be reflected in the research conducted on their behalf. Quantifying alignment of priorities with the unmet needs of people with lived experience is challenging, and to our knowled... read more

Molecular-level host-microbe interactions: mechanisms, molecules, and modeling toward precision probiotics.

Expert opinion on therapeutic targets May 8, 2026

INTRODUCTION: Advancing next-generation probiotics (NGPs) as precision therapeutics depends on a detailed understanding of host - microbe molecular interactions, as these organisms exert targeted effects through defined bioactive molecules rather tha... read more

SPISE index and ensemble machine learning refine cardiovascular risk stratification in stage 0-3 CKM syndrome.

The aging male : the official journal of the International Society for the Study of the Aging Male May 8, 2026

BACKGROUND: While the single-point insulin sensitivity estimator (SPISE) shows promise as an insulin resistance biomarker, its association with cardiovascular disease (CVD) in early CKM stages (0-3) remains underexplored. METHODS: We analyzed 6480 pa... read more

A Dual-Task Deep-Learning Model with Fused Ultrasound Images for Simultaneous Typing and Grading of Cystocele.

International urogynecology journal May 8, 2026

INTRODUCTION AND HYPOTHESIS: We developed a dual-task deep-learning model, termed FD-Net, which utilizes fused two-dimensional (2D) and three-dimensional (3D) ultrasound images to simultaneously automate cystocele typing and grading, and evaluated it... read more

Digital twins and multimodal artificial intelligence in spine care: a scoping review of concepts, evidence, and translational barriers.

Spine deformity May 8, 2026

PURPOSE: This scoping review examines current evidence supporting multimodal artificial intelligence, continuous monitoring, and digital twin concepts in spine care. Our primary aims were to (1) characterize the state of digital twin development in s... read more

Lineage Classification of Pituitary Neuroendocrine Tumors From Whole-Slide Images Using Attention-Guided Graph Representation Learning.

Endocrine pathology May 8, 2026

Pituitary neuroendocrine tumors (PitNETs) are common sellar neoplasms and represent a major component of routine pituitary pathology. In the 2022 World Health Organization (WHO) Classification, transcription factor-defined lineage assignment is centr... read more

A multicenter study of automatic segmentation-based multimodal fusion integrating radiomics, deep learning, and clinical parameters for prostate cancer detection.

Abdominal radiology (New York) May 8, 2026

OBJECTIVE: To develop and validate an interpretable machine learning model integrating radiomics, deep learning (DL), and clinical features based on automated MRI segmentation for detecting prostate cancer (PCa). METHODS: This retrospective multicent... read more

A comprehensive review of ultrasonographic imaging in athletic elbow injuries: a compartment-based approach.

Skeletal radiology May 8, 2026

Elbow injury rates are markedly higher among collegiate athletes than in the general population; however, this elevated incidence is largely driven by overhead throwing sports and does not represent a uniform risk across all athletes. Elbow disorders... read more

Comparison of radiomics-based models for detection of Modic type 1 changes in photon-counting detector CT images of the lumbar spine.

Skeletal radiology May 8, 2026

OBJECTIVE: To compare diagnostic performance of four radiomics-based machine learning models for detecting Modic type 1-changes of the lumbar spine in photon-counting detector (PCD)-CT images, using MRI as the reference standard. MATERIALS AND METHOD... read more

Auditory brainstem response abnormalities in autism spectrum disorder: A deep learning approach to characterize time-frequency signatures.

Hearing research May 8, 2026

BACKGROUND: While Auditory Brainstem Response (ABR) provides a non-invasive window into auditory brainstem function, prior studies of ASD have primarily focused on localized waveform features (e.g., waves I, III, and V), potentially overlooking subtl... read more

Artificial Intelligence Medical Compendium