AI Medical Compendium

Prediction of Skeletal Muscle Mass Measured by Bioelectrical Impedance Analysis in Older Adults Using Anthropometric Data.

Australasian journal on ageing Jun 1, 2026

OBJECTIVE: Accurate estimation of skeletal muscle mass is a key component in the screening for sarcopenia. Anthropometric parameters provide a non-invasive, cost-effective alternative, yet their predictive capability can be enhanced with machine lear... read more

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning.

NMR in biomedicine Jun 1, 2026

We present a deep learning framework that combines classical regularization and data preprocessing to improve estimation of the myelin water fraction (MWF) in the brain from magnetic resonance relaxometry data. The proposed method is developed within... read more

A Cross-Disease Microglial Transcriptional Program Characterizes Neurodegeneration and Highlights SPP1 as a Biomarker.

Glia Jun 1, 2026

Microglial cells are key players in maintaining brain homeostasis and responding to pathological conditions. Their multifaceted roles in health and disease have garnered significant attention in the context of neurodegeneration. In recent years, sing... read more

Digital Health in Midwifery Practice: A Qualitative Review of Midwives' Experiences and Perceptions.

International nursing review Jun 1, 2026

AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use of digital health technologies in clinical maternity care. BACKGROUND: Although digital health technologies are rapidly transforming maternity care, th... read more

ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome-wide polymorphisms.

The plant genome Jun 1, 2026

The growing size of genome-wide polymorphism data in animal and plant breeding has raised concerns regarding computational load and time, particularly when predicting genetic values for target traits using genomic prediction. Several deep learning an... read more

Applying natural language processing and large language models to clinical notes for phenotyping and diagnosing rare diseases: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026

OBJECTIVES: Patients with rare diseases often face long delays before receiving a diagnosis. Using electronic health records for automated phenotyping and diagnosis of rare diseases is a promising approach but can be challenging because critical info... read more

Systematic review of foundation models for structured electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026

PURPOSE: Foundation models pretrained on structured electronic health record (EHR) data promise improved predictive performance, sample efficiency and resilience to distribution shifts. However, model design, scale and use remain unclear. Objectives ... read more

Interpretable Deep Regression Models With Interval-Censored Failure Time Data.

Statistics in medicine Jun 1, 2026

Deep neural networks (DNNs) have become powerful tools for modeling complex data structures through sequentially integrating simple functions in each hidden layer. In survival analysis, recent advances of DNNs primarily focus on enhancing model capab... read more

Artificial intelligence-assisted visualization of the dissection plane during robotic right colectomy using a duodenum-first approach: A video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Jun 1, 2026

Use of biomolecular emulator for characterizing flexible proteins by small-angle x-ray scattering.

Protein science : a publication of the Protein Society Jun 1, 2026

Flexible proteins populate heterogeneous conformational ensembles that are essential for their function. Small-angle x-ray scattering (SAXS) is widely used to study protein structure in solution and to characterize conformational heterogeneity. Yet, ... read more

Artificial Intelligence Medical Compendium