Artificial Intelligence Medical Compendium

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

Showing 34,571 to 34,580 of 221,633 articles

A novel machine learning model of smartphone-based 1-minute sit-to-stand test for prediction of six-minute walk test distance in patients with COPD.

Clinics (Sao Paulo, Brazil)
BACKGROUND: Regular assessment of exercise tolerance is essential for managing COPD, nevertheless, the standard 6-Minute Walk Test (6MWT) is difficult to perform outside clinical settings. This study aimed to develop and validate a smartphone-based d... read more 

Managing behavior in AI-mediated English education: The interplay of teachers, technology, and communication willingness.

Acta psychologica
This study investigates the relations between teacher AI behavior management competence and the willingness of university students to communicate in English in AI mediated English as a foreign language classroom in China. Drawing on the Cognitive The... read more 

LTF-MSPCNet: A synergistic approach combining attention mechanisms and local texture features for oil spill segmentation in SAR images.

Marine pollution bulletin
Marine oil spills represent a significant environmental pollution incident that severely disrupts the balance and stability of marine ecosystems. SAR (Synthetic Aperture Radar) demonstrates significant potential in oil spill detection due to its all-... read more 

From statistics to deep learning in single-molecule fluorescence resonance energy transfer analysis.

Current opinion in structural biology
Single-molecule fluorescence resonance energy transfer (smFRET) is a versatile technique for studying biomolecular dynamics and function by detecting nanoscale movements as fluorescence signals. Analysing such signals is a complex exercise, which has... read more 

Generation of virtual abdominal aortic aneurysm shape evolution using a physics-based G&R model and its applications to aneurysm growth prediction.

Computers in biology and medicine
The computational growth and remodeling (G&R) of aortic aneurysms has been extensively investigated to better understand vascular disease progression and improve surgical intervention strategies. This study introduces a framework to simulate abdomina... read more 

Adapalene in Acne Treatment: Innovations in Nanocarriers and Role of AI in Drug Delivery- A Comprehensive Review.

Current drug delivery
INTRODUCTION: Acne vulgaris is a prevalent dermatological disorder that affects millions worldwide, causing both physical discomfort and psychological burden. Conventional therapies often provide limited benefit due to poor skin permeability and tole... read more 

The relationship between artificial intelligence literacy and artificial intelligence anxiety: A cross-sectional study among pediatric nurses.

Journal of pediatric nursing
AIM: This study aimed to investigate the relationship between pediatric nurses' levels of artificial intelligence literacy and artificial intelligence anxiety. METHODS: The study population consisted of 246 nurses working at children hospital within ... read more 

Physiology-informed machine learning for patient-level surgical decision-making in severe traumatic brain injury: Multicenter model development with external validation.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
BACKGROUND: Surgical decisions for severe traumatic brain injury (TBI) are often made under prognostic uncertainty. Existing prognostic models predict overall outcomes but do not estimate how an individual's outcome might change with the decision to ... read more 

Prediction of Early-onset Preeclampsia Using Deep Learning: A Scoping Review of Clinical and Imaging Models.

Pregnancy hypertension
This scoping review aimed to map the available evidence on deep learning (DL) models for predicting early-onset preeclampsia (EOPE), focusing on both clinical and imaging-based approaches. A comprehensive search of five databases identified 15 eligib... read more