Artificial Intelligence Medical Compendium

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

Showing 1,201 to 1,210 of 213,401 articles

Comparing the effects of GenAI-assisted and facilitator-led debriefing on knowledge and non-technical skills in immersive virtual reality simulation in nursing education: A quasi-experimental study.

Nurse education today
BACKGROUND: Immersive virtual reality (IVR) simulation is increasingly used in nursing education to support experiential learning and the development of non-technical skills. Debriefing is integral to simulation-based education; however, shortages of... read more 

The Role and Impact of Artificial Intelligence in Preventive Dentistry: A Scoping Review.

International dental journal
OBJECTIVE: This scoping review aims to identify the current applications of artificial intelligence (AI) in preventive dentistry for primary disease prevention and synthesises evidence regarding their impact on oral disease prevention. METHODS: A com... read more 

Teaching in the trenches: adaptive strategies for clinical education in crowded emergency departments.

CJEM
Emergency department crowding has become a pervasive global challenge that strains patient flow and compromises clinical learning environments. Traditional teaching approaches are often impracticable when patient volumes exceed system capacity and cl... read more 

Artificial Intelligence and Protein Design: A retrospective study on 20-year emerging trends and core research areas from bibliometric perspectives.

Probiotics and antimicrobial proteins
Protein design has numerous applications in synthetic biology, drug discovery, and bioengineering. Recently, there has been a revolution in this field due to the emergence of artificial intelligence. At the forefront are deep learning models (DLMs). ... read more 

Associations of employment status with social media addiction, anxiety, and parenting self-efficacy among mothers of infants: a cross-sectional study using machine learning.

BMC public health
BACKGROUND: Differences in social media addiction, anxiety, and parenting self-efficacy according to maternal employment status have important implications for maternal and child public health. However, evidence comparing these psychosocial outcomes ... read more 

Comprehensive plant disease classification and severity estimation for sustainable farming via automatic segmentation and multi-scale feature fusion.

BMC plant biology
Detecting plant leaf diseases at an early stage is one of the most important requirements for sustainable agriculture, increasing crop productivity, and achieving the global Sustainable Development Goals (SDGs). However, accurately recognizing them i... read more 

Machine learning meets ecology: XGBoost-based prediction of endangered species habitats using multi-source environmental data.

Environmental monitoring and assessment
Buxus hyrcana, an endangered and ecologically significant tree species of the Hyrcanian forests, faces severe threats from climate change, land-use pressures, and habitat degradation. Accurate prediction of its potential distribution is therefore cri... read more 

Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability.

International orthopaedics
OBJECTIVES: Selective posterior thoracic fusion (sPTF) for Lenke 1/2 adolescent idiopathic scoliosis (AIS) aims to reconcile multi-planar correction with motion preservation. Nevertheless, postoperative coronal imbalance (CIB) frequently compromises ... read more 

Bioinspired organic materials for seamless neurohybrid interfaces: from material design to living electronics.

Materials horizons
The brain architecture is multi-layered, with billions of neurons organized into intricate neural networks that communicate via synapses. Since synapse dysfunction is a main hallmark of neurological disorders, understanding the mechanisms underlying ... read more