Artificial Intelligence Medical Compendium

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

Showing 361 to 370 of 199,993 articles

Bubble nucleation as a non-equilibrium phase transition in CO2/CH4 Hydrates.

Journal of physics. Condensed matter : an Institute of Physics journal
Gas hydrate dissociation is a complex non-equilibrium process involving coupled lattice destabilization, gas release, and bubble nucleation, which plays a key role in methane recovery and CO2 sequestration. However, the microscopic mechanism linking ... read more 

Learning and deskilling effects of artificial intelligence in colonoscopy among endoscopists with different levels of experience: a pragmatic, prospective trial.

Endoscopy
BACKGROUND: The effect of computer-aided detection (CADe) on performance of endoscopists with different experience levels is not well understood. This study assessed whether CADe use promotes learning or deskilling. METHODS: We performed a prospectiv... read more 

Danilo Bzdok.

Neuron
In this interview with Neuron, Danilo Bzdok argues that artificial intelligence and big data herald a paradigm shift in neuroscience. Leveraging large language models, researchers can overcome traditional, intuition-driven taxonomies, bridge discipli... read more 

Quality assessment of radiographs through AI-driven feedback: A randomized comparative study on radiographer response in lateral knee radiographs.

Radiography (London, England : 1995)
INTRODUCTION: High-quality radiographic positioning is essential for accurate diagnosis in knee imaging. Although artificial intelligence (AI) can assess image quality with high accuracy, its influence on radiographers' clinical decision-making remai... read more 

Artificial Intelligence-Mediated Teledentistry for Ageing Populations: Toward Intelligent Intermediary Support in Home-Based Oral Care.

International dental journal
The rapid ageing of the global population is reshaping oral health care delivery, with increasing numbers of older adults receiving care in home-based or dependent settings where access to dental services remains limited. Although teledentistry has e... read more 

Development and internal validation of an explainable machine learning model for predicting textbook outcome after free flap reconstruction in oral cancer.

Oral oncology
OBJECTIVE: To develop and internally validate an explainable machine learning model for predicting textbook outcome (TO) after free flap reconstruction in oral cancer surgery. METHODS: This single-center retrospective study included 752 patients with... read more 

Methods for investigating online food environments with artificial intelligence: a systematic review.

Health & place
BACKGROUND: The online food environment has transformed how individuals access and engage with food by amplifying food availability and promotions. Artificial intelligence (AI) offers scalable solutions to investigate and monitor this space, yet its ... read more 

Interpretable machine learning and greenness assessment for sustainable tetracycline adsorption and phytotoxicity mitigation using almond peel - derived activated carbon.

Chemosphere
This study presents, the conversion of almond peel waste into activated carbon (APAC) and its use for removing tetracycline (TC) antibiotic from water. The prepared APAC possesses a rough, highly porous, and mesoporous carbon structure with a high su... read more 

A data-informed multidimensional composite score for stress assessment.

Acta psychologica
Occupations such as the military, emergency responders, and athletes demand acute physical, cognitive and psychosocial effort. Individuals in these roles face task-specific stressors, including extreme heat, sustained mental focus and performance und... read more