AI Medical Compendium

Beyond Anxiety: Rethinking the Psychological Drivers of Nurses' Readiness for Medical Artificial Intelligence.

Journal of evaluation in clinical practice Jun 1, 2026

Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review.

Journal of evaluation in clinical practice Jun 1, 2026

BACKGROUND: Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of their workday on electronic health record (EHR) tasks. Artificial intelligence (AI)-based speech recogn... read more

EnAcrPred: A robust ensemble machine learning framework for identifying anti-CRISPR proteins.

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

The identification of anti-CRISPR proteins (Acrs) is crucial for understanding the regulation of CRISPR-Cas systems and their application in gene editing. However, current experimental methods face challenges, particularly in detecting Acrs with low ... 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

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

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

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

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

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

Integrated Workflow Finite Element Modeling of the Temporomandibular Joint: Toward a Methodical and Reproducible Approach.

Journal of biomechanical engineering Jun 1, 2026

This study presents a patient-specific parametric model of the temporomandibular joint, designed to be semi-automated, and reproducible for multiple patients. The numerical model is used to evaluate mandibular stress distribution under different inte... read more

Artificial Intelligence Medical Compendium