Artificial Intelligence Medical Compendium

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

Showing 3,031 to 3,040 of 202,937 articles

Artificial intelligence in the detection of dental pulp calcifications: a scoping review.

BMC oral health Jun 4, 2026
BACKGROUND: Dental pulp calcifications, including pulp stones and diffuse calcific changes, can complicate endodontic access, canal negotiation, and treatment planning. Artificial intelligence may support radiographic detection of these findings, but... read more 

Artificial intelligence in pediatric pain: a systematic review.

BMC medical informatics and decision making Jun 4, 2026
BACKGROUND: Pain is a challenging, multifaceted symptom reported by most pediatric patients. This systematic review aims to explore the progress and effectiveness of applying artificial intelligence (AI) technology in pediatric pain management. METHO... read more 

Substance-induced manic psychosis in which delusions were corroborated by a chatbot - case report.

BMC psychiatry Jun 4, 2026
BACKGROUND: This case describes a substance-induced manic episode with psychotic features in which interaction with an AI (artificial intelligence) chatbot appeared to corroborate and reinforce the patient's delusional thought content and to contradi... read more 

Ethical challenges to patient autonomy in the era of artificial intelligence: a systematic review.

BMC medical informatics and decision making Jun 4, 2026
BACKGROUND: Artificial intelligence (AI) has rapidly transformed clinical practice by improving diagnostic accuracy and enhancing decision-making processes. However, its growing role in patient care raises profound ethical concerns regarding patient ... read more 

TASC: a time-aware sequence clustering framework with uncertainty quantification for electronic health record trajectories.

BioData mining Jun 4, 2026
Longitudinal electronic health record (EHR) trajectories are highly heterogeneous, sparse, and irregular, making unsupervised temporal pattern discovery and uncertainty quantification challenging. We developed a Time-Aware Sequence Clustering (TASC) ... read more 

Biobanking: IoT, safety challenges and security prospects.

BMC medical informatics and decision making Jun 4, 2026
The biobank is a functional unit that facilitates and improves research by storing biological samples and associated data. As such, it is a key resource for advancing the life sciences. New information and communication technologies, including the In... read more 

Development of research ethics guidelines for healthcare generative artificial intelligence: deriving expert consensus through a Delphi study.

BMC medical ethics Jun 4, 2026
BACKGROUND: While generative artificial intelligence (AI) is rapidly proliferating in healthcare research and clinical settings, there is a lack of actionable research ethics standards that reflect the unique technical features of generative AI, such... read more 

An explainable machine learning method for identifying key atherogenic lipid biomarkers in abdominal obesity among the Southern Chinese population.

Lipids in health and disease Jun 4, 2026
BACKGROUND: Abdominal obesity (AO) significantly contributes to cardiometabolic diseases and poses an increasing public health challenge. Composite lipid-derived indices have been proposed as simple indicators of atherogenic dyslipidemia, but their r... read more 

An integrated machine learning framework for TCM five-flavor classification based on E-tongue profiling and SHAP analysis.

Chinese medicine Jun 4, 2026
BACKGROUND: The "five-flavor" (wu wei) classification is a core organizing principle in Traditional Chinese Medicine (TCM) pharmacology and quality control, yet its assessment still relies on subjective organoleptic evaluation, limiting standardizati... read more 

Mediating effects of artificial intelligence readiness and self-efficacy on innovative behavior in Chinese standardized training nurses: a structural equation model study.

BMC nursing Jun 4, 2026
BACKGROUND: Innovative behavior is crucial for enhancing clinical efficiency, promoting patient recovery, and advancing the nursing discipline. As an emerging group within the nursing workforce, standardized training nurses represent a key cohort for... read more 
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