Artificial Intelligence Medical Compendium

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

Showing 2,281 to 2,290 of 202,214 articles

UniPTMs: a unified multi-type PTM site prediction model via master-slave architecture-based multi-stage fusion strategy and hierarchical contrastive loss.

BMC bioinformatics Jun 4, 2026
BACKGROUND: As a core mechanism of epigenetic regulation in eukaryotes, protein post-translational modifications (PTMs) require precise prediction to decipher dynamic life activity networks. To address the limitations of existing deep learning models... read more 

Tissueformer: extending single-cell foundation models to predict population-level phenotypes.

BMC bioinformatics Jun 4, 2026
BACKGROUND: Single-cell RNA sequencing technologies have enabled unprecedented insights into gene expression and opened new pathways for diagnostics and tissue annotation. At present, most computational approaches for interpreting single-cell data pr... read more 

Construction and validation of a machine learning-based prediction model for social isolation in patients with colorectal cancer after stoma surgery.

BMC gastroenterology Jun 4, 2026
OBJECTIVE: To investigate the current status and influencing factors of social alienation in patients with enterostomy after colorectal cancer surgery, and to establish a risk prediction model for social alienation in this population. METHODS: A tota... read more 

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 
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