AI Medical Compendium

Evaluation of an AI Scribe Tool in the Emergency Department: A Single-Arm Observational Study.

Emergency medicine Australasia : EMA Jun 1, 2026

BACKGROUND: Generative artificial intelligence (AI) is reshaping the way clinicians record their clinical notes. AI-scribe systems leverage generative AI capabilities to transcribe clinical encounters into draft clinical notes. In this study, we asse... read more

Limitations of the refolding pipeline for de novo protein design.

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

With the emergence of powerful deep learning-based tools, computational protein design has become a widely accessible technique. Nowadays, it is possible to perform both sequence and structure design in a matter of minutes, making the technology attr... read more

Occupational therapists' perceptions of artificial intelligence: Potential, preparedness, and training needs.

Australian occupational therapy journal Jun 1, 2026

INTRODUCTION: Artificial intelligence (AI) is transforming health care, yet its impact on occupational therapy remains underexplored. This study investigated occupational therapists' perceptions of AI's potential, preparedness, and training needs and... 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

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

Automating infection indicator extraction in home healthcare through instruction-tuned large language models.

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

OBJECTIVE: Home healthcare (HHC) clinical notes contain critical infection indicators that clinicians need in structured "indicator + context" pairs. Data sparsity and limited computing resources hinder automated extraction in decentralized HHC setti... 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

Artificial Intelligence Use in Problem-Based Learning: Implications for Clinical Reasoning.

The clinical teacher Jun 1, 2026

Unraveling the Dynamics of Oxytocin in Hypothalamic Neurons.

Traffic (Copenhagen, Denmark) Jun 1, 2026

Oxytocin plays a critical role in social behavior and maternal physiology, yet the intracellular dynamics of oxytocin-containing vesicles in neurons remain poorly characterized. Here, we combine experimental data from live cell imaging of oxytocin-co... read more

Harnessing Artificial Intelligence to Counter Microbial Immune Evasion Strategies.

Clinical laboratory Jun 1, 2026

BACKGROUND: Microbial pathogens deploy sophisticated mechanisms to evade host immune responses, complicating the development of effective therapeutics. Artificial intelligence (AI) offers innovative tools to analyze complex host-pathogen interactions... read more

Artificial Intelligence Medical Compendium