Artificial Intelligence Medical Compendium

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

Showing 151 to 160 of 199,772 articles

Clinical outcomes, patient satisfaction and operational efficiency of AI-powered chatbots in medicine and healthcare: protocol for an AI-aided scoping review.

BMJ open Jun 3, 2026
INTRODUCTION: Artificial intelligence (AI)-powered chatbots are increasingly integrated into healthcare to support administrative processes, health education and chronic disease management. These systems simulate human dialogue through natural langua... read more 

Impact of artificial intelligence integrations on empathy in healthcare interactions between patients and practitioners: protocol for a systematic review and thematic synthesis of qualitative studies.

BMJ open Jun 3, 2026
INTRODUCTION: Empathic healthcare improves patient satisfaction with care, anxiety and pain, while reducing practitioner burnout. Artificial intelligence (AI) is continuously advancing and changing the context of empathy in healthcare. While AI may i... read more 

Evaluating the VOCORDER device for early disease detection through breath analysis: study protocol for a two-phase clinical study.

BMJ open Jun 3, 2026
INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the speed of diagnosis. Too often, diseases are detected only after symptoms appear, which usually occurs at later stages of a disease when available trea... read more 

Deep Learning Reconstruction in MRI: Unlocking Efficiency, Enhancing Image Quality, and Navigating Practical Limits.

AJNR. American journal of neuroradiology Jun 3, 2026
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Bubble nucleation as a non-equilibrium phase transition in CO2/CH4 Hydrates.

Journal of physics. Condensed matter : an Institute of Physics journal Jun 3, 2026
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 Jun 3, 2026
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 Jun 3, 2026
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) Jun 3, 2026
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 Jun 3, 2026
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 Jun 3, 2026
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 
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