AI Medical Compendium

Optimising Retraining Frequency for a Paediatric Emergency Department Admission Prediction Model: Development and Temporal Validation Using Real-World Data.

Emergency medicine Australasia : EMA Jun 1, 2026

OBJECTIVE: To analyse temporal performance drift and optimal retraining frequency for an ensemble machine learning model to predict inpatient admission from paediatric emergency department (ED) triage data. METHODS: This study utilised 409,307 ED pre... read more

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

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

Molecular Pathology of Soft-tissue Neoplasms.

Surgical pathology clinics Jun 1, 2026

Soft-tissue tumors are rare mesenchymal neoplasms characterized by extensive morphologic and genetic heterogeneity. Advances in molecular pathology have transformed their diagnosis, classification, and therapeutic management. Recurrent genomic altera... read more

Can Artificial Intelligence Chatbots Plan Therapeutic Ketogenic Diets for Children With Epilepsy?

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association Jun 1, 2026

RATIONALE: Ketogenic Diet Therapy (KDT) is an effective but complex treatment for paediatric drug-resistant epilepsy. Access to trained dietitians limits the global use of KDT. The increasing use of artificial intelligence (AI) chatbots for health an... read more

Evaluation of a Collaborative Telehealth Model for Eye Care Between Ophthalmology and Optometry in Western Australia.

The Australian journal of rural health Jun 1, 2026

OBJECTIVE: Recent advances in technology and the impact of COVID-19 have expanded the adoption of digital health. Synchronous collaborative telehealth between optometry and ophthalmology has been used to expedite specialist eye care in Western Austra... 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

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

Artificial Intelligence Medical Compendium