Artificial Intelligence Medical Compendium

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

Showing 35,441 to 35,450 of 222,841 articles

Exploring AI and ML in managing overlap between cardiovascular disease and asthma or COPD: a scoping review.

Respiratory medicine
Cardiovascular disease (CVD) is a major comorbidity in asthma and chronic obstructive pulmonary disease (COPD), yet the contribution of artificial intelligence (AI) and machine learning (ML) to CVD risk assessment and management in these conditions r... read more 

Automated detection of tooth loss using tooth numbering segmentation in 3D intraoral scans from a population-based sample with artificial intelligence.

Journal of dentistry
OBJECTIVES: This study aimed to validate an automated method for detecting tooth loss in intraoral scans (IOS) compared to clinical evaluations in a population-based sample. METHODS: 897 IOSs from 453 participants of the 1982 Pelotas Birth Cohort wer... read more 

Beyond exam accuracy: Tracking a persistent-failure set reveals visual dental reasoning gaps in multimodal LLMs.

Journal of dentistry
OBJECTIVES: To benchmark late-2025 general-purpose multimodal large language models (LLMs) on the Japanese National Dental Examination (JNDE) and to reassess a previously identified persistent-failure set. METHODS: GPT-5.2T, Claude 4.5, and Gemini 3 ... read more 

Predictive neuroimaging biomarkers of major depressive disorder treatment response: An umbrella review.

Psychiatry and clinical neurosciences
Major depressive disorder (MDD) is a heterogeneous condition with varied responses to pharmacological, psychotherapeutic, and neuromodulation interventions. Identifying neuroimaging biomarkers predictive of treatment response could facilitate persona... read more 

Integration of multi-omics and machine learning to identify core genes in PANoptosisof lung adenocarcinoma and their mechanisms in the tumor microenvironment and therapeutic potential.

Naunyn-Schmiedeberg's archives of pharmacology
Lung adenocarcinoma (LUAD) is one of the leading causes of cancer-related deaths worldwide, and its complex tumor microenvironment (TME) is a key barrier to treatment. PANoptosis is a novel programmed cell death mechanism that integrates features of ... read more 

Integrative multi-omics identifies a diagnostic T cell signature for cutaneous squamous cell carcinoma.

Naunyn-Schmiedeberg's archives of pharmacology
Cutaneous squamous cell carcinoma (cSCC) involves complex immune interactions. This study aimed to identify a T cell-related gene signature to characterize the immune landscape and aid in molecular diagnosis. We integrated single-cell RNA sequencing ... read more 

Quantum-inspired fused explainable deep learning framework for early enamel caries classification in intraoral photographs.

Odontology
The visual detection of early enamel caries in intraoral photographs is challenging due to subtle lesion appearance and diagnostic subjectivity. This study aimed to develop and validate an explainable, quantum-simulated deep learning framework for th... read more 

Tokenizing loops of antibodies.

mAbs
The complementarity-determining regions (CDRs) of antibodies are loop structures that are key to their interactions with antigens and are of high importance to the design of novel biologics. Existing approaches for characterizing the diversity of CDR... read more