Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 202,026 articles

General-purpose large language models outperform specialized clinical AI tools on medical benchmarks.

Nature medicine
Specialized clinical artificial intelligence (AI) tools are entering medical practice despite scarce independent evaluation. We quantitatively evaluate two clinical AI tools, OpenEvidence and UpToDate Expert AI, built on large language models (LLMs) ... read more 

Performance of GPT-based large language models in hepatocellular carcinoma stratification: liver function assessment, BCLC staging, and treatment recommendations.

Scientific reports
Large language models (LLMs) like GPT have been proposed to support complex clinical decision-making. This study evaluated the performance of GPT-based LLM in analyzing clinical, radiological, and laboratory data from patients with hepatocellular car... read more 

The diagnostic accuracy of AI-assisted diabetic retinopathy screening in primary care: a prospective validation study.

Scandinavian journal of primary health care
OBJECTIVES: This study investigated the diagnostic accuracy of AI-assisted diabetic retinopathy screening in primary care, using ophthalmologist-led screening as the reference standard. METHODS: Patients with type 2 diabetes attending routine appoint... read more 

Spatial-temporal recurrence patterns of grade 4 glioma using deep learning integrated multiparametric MRI and molecular pathology.

NPJ precision oncology
Grade 4 glioma is inherently lethal due to inevitable recurrence. Current radiotherapy guidelines recommend uniform target volume margins, disregarding molecular and clinical variables. We hypothesized that spatiotemporal recurrence may be predicted ... read more 

ActiTect: a generalizable machine learning pipeline for REM sleep behavior disorder screening through standardized actigraphy.

NPJ digital medicine
Isolated rapid eye movement sleep behavior disorder (iRBD) is a major prodromal marker of α-synucleinopathies, often preceding the clinical onset of Parkinson's disease, dementia with Lewy bodies, or multiple system atrophy. While wrist-worn actimete... read more 

Pyramid Vision Transformer-Enhanced Conformer Network for Epileptic Seizure Recognition Using MultiChannel EEG Signals.

International journal of neural systems
The classification of electroencephalogram (EEG) signals plays an important role in neuroscience research and clinical diagnosis of epileptic seizures. This work aims to solve EEG data classification tasks by using the Children's Hospital Boston and ... read more 

A Time-Frequency Decoupled Contrastive Learning Framework for Electroencephalography-Based Parkinson's Disease Diagnosis.

International journal of neural systems
Parkinson's disease (PD), a prototypical neurodegenerative disorder, poses significant challenges for early diagnosis. Motivated by recent advances in representation learning, a novel EEG-based diagnostic framework for PD, termed the time-frequency d... read more 

Radiomics-driven prediction of postoperative infection risk in maxillofacial fractures: multidimensional risk factor analysis and model construction based on absorbable plate fixation.

Clinical oral investigations
OBJECTIVES: This study proposes a predictive model that integrates radiological features with multidimensional clinical factors for the accurate prediction of postoperative infection in maxillofacial fracture patients treated with absorbable fixation... read more 

Interpretable machine learning distinguishes skip from continuous metastasis in N1b papillary thyroid carcinoma.

Scientific reports
Skip metastasis-defined as lateral lymph node metastasis(N1b) in the absence of central lymph node involvement-represents a distinct yet underrecognized metastatic pattern in papillary thyroid carcinoma (PTC). Accurate identification of skip metastas... read more