AI Medical Compendium

Accuracy of large language model transcription of simulated physician-patient verbal interactions.

BMC medical informatics and decision making Mar 10, 2026

Root canal segmentation from cone-beam computed tomography guided by micro-computed tomography based on deep learning.

BMC oral health Mar 10, 2026

Association of the atherogenic index of plasma and a novel triglyceride-glucose-body shape index with stroke: insights from NHANES and machine learning approaches.

BMC cardiovascular disorders Mar 10, 2026

Machine learning-based model for triage-stage prediction of emergency department disposition.

BMC emergency medicine Mar 10, 2026

Distinct Prescription Patterns Emerge Years Before ALS Diagnosis: A Nationwide Registry-Based Study.

Annals of neurology Mar 10, 2026

OBJECTIVE: The prodromal phase of amyotrophic lateral sclerosis (ALS) is poorly defined. We aimed to characterize prescription drug use patterns in the pre-diagnostic period by analyzing nationwide prescription data to identify the earliest divergenc... read more

Leveraging proteomics and machine learning for mechanism and biomarker discovery on glioma progression and transformation: from LGG to GBM.

Human genomics Mar 10, 2026

BACKGROUND: Glioma was the most common malignant tumor of the central nervous system in adults. Low-grade gliomas (LGGs) have a potential of grade progression and histological transformation, and the relevant mechanisms of this malignant evolution we... read more

Assessing the effectiveness of artificial intelligence education and training for healthcare workers: a systematic review.

BMC medical education Mar 10, 2026

AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep learning, and large language models on free-text ED records.

BMC emergency medicine Mar 10, 2026

Diagnostic, predictive, and therapeutic approaches for impacted canines: a systematic review and meta-analysis.

BMC oral health Mar 10, 2026

OBJECTIVE: Maxillary canine impaction affects approximately 1-3% of the population and presents diagnostic, prognostic, and therapeutic challenges. The clinical utility of artificial intelligence (AI) in this context remains uncertain. We synthesized... read more

The Emory Knee Radiograph (MRKR) Dataset.

Journal of imaging informatics in medicine Mar 10, 2026

The Emory Knee Radiograph (MRKR) dataset is a large, demographically diverse collection of 503,261 knee radiographs from 83,011 patients, 40% of which are African American. This dataset provides imaging data in DICOM format along with detailed clinic... read more

Artificial Intelligence Medical Compendium

Accuracy of large language model transcription of simulated physician-patient verbal interactions.

Root canal segmentation from cone-beam computed tomography guided by micro-computed tomography based on deep learning.

Association of the atherogenic index of plasma and a novel triglyceride-glucose-body shape index with stroke: insights from NHANES and machine learning approaches.

Machine learning-based model for triage-stage prediction of emergency department disposition.

Distinct Prescription Patterns Emerge Years Before ALS Diagnosis: A Nationwide Registry-Based Study.

Leveraging proteomics and machine learning for mechanism and biomarker discovery on glioma progression and transformation: from LGG to GBM.

Assessing the effectiveness of artificial intelligence education and training for healthcare workers: a systematic review.

AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep learning, and large language models on free-text ED records.

Diagnostic, predictive, and therapeutic approaches for impacted canines: a systematic review and meta-analysis.

The Emory Knee Radiograph (MRKR) Dataset.

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Artificial Intelligence Medical Compendium

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