Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,571 to 1,580 of 200,546 articles

Integrated Experimental and Computational Evaluation of the Gut-Targeted Anticoccidial Potential of Agaricus bisporus Methanolic Extract.

Biomedical chromatography : BMC
Coccidiosis caused by Eimeria spp. is a major constraint to global poultry production, causing economic losses exceeding USD 13 billion annually. Growing drug resistance from prolonged anticoccidial use highlights the need for safer, eco-friendly alt... read more 

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

Journal of evaluation in clinical practice
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 

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

Emergency medicine Australasia : EMA
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
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
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
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
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
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
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