Artificial Intelligence Medical Compendium

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

Showing 5,321 to 5,330 of 204,381 articles

Prediction of Cardiovascular Risk Using Machine Learning Based on Maximal Oxygen Consumption, Physical Fitness, and Anthropometry.

Clinical obesity
Cardiovascular risk factors in adolescence, often persist into adulthood, with low cardiorespiratory fitness representing one of the strongest predictors of future cardiovascular disease. We aimed to classify cardiovascular risk associated with low c... read more 

Triglyceride-Glucose-Waist-to-Weight Index: Novel Biomarker for Mild Cognitive Impairment in Older People With Sarcopenic Obesity.

Journal of cachexia, sarcopenia and muscle
BACKGROUND: Sarcopenic obesity (SO) is closely associated with mild cognitive impairment (MCI). However, traditional body composition-based diagnostic criteria for SO fail to adequately incorporate insulin resistance, a key pathophysiological mechani... read more 

Robust and interpretable machine learning for affinity prioritization of designed protein interactors.

Protein science : a publication of the Protein Society
Recent advances in computational protein design have resulted in a large pool of de novo interactors that necessitate efficient and robust tools for candidate prioritization. Here, we introduce Proffinity, a one-stop computational workflow employing ... read more 

Portable Moxibustion Robot With Intelligent Acupoint Positioning Guided by Visual Sensing.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: To overcome key challenges in traditional moxibustion, such as the shortage of skilled practitioners, time-consuming and labour-intensive procedures, this study developed an intelligent robotic system for automated acupoint positioning 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 

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 

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 

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 

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 

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