AI Medical Compendium

Brain Age in Adult Patients With Early-Treated Phenylketonuria.

Journal of inherited metabolic disease Mar 1, 2026

Structural brain alterations have been observed in individuals with phenylketonuria (PKU); however, the potential impact of PKU on brain aging remains unexplored. This study investigated brain age in adults with early-treated classical PKU compared t... read more

A Network-Based Association of IBD and Colorectal Cancer Using Proteomics Data.

Proteomics. Clinical applications Mar 1, 2026

BACKGROUND: Colorectal cancer (CRC) is a major cause of morbidity and mortality, with chronic inflammation from inflammatory bowel disease (IBD) representing a well-established risk factor. Clarifying shared molecular mechanisms may facilitate early ... read more

Machine Learning-Driven Prognostic Model Integrating Lymphocyte-to-C-Reactive Protein Ratio and TNM Staging in Gallbladder Cancer.

Cancer medicine Mar 1, 2026

BACKGROUND: A comprehensive preoperative assessment of the patient's physical condition is crucial for predicting the prognosis of patients undergoing radical cholecystectomy for gallbladder cancer (GBC). This study aimed to develop a prognostic mode... read more

Letter to the Editor: Comment on the recent article titled "Diagnostic and economic evaluation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry with machine learning for screening of Johne's disease from dairy cow serum".

Journal of dairy science Mar 1, 2026

A Self-Supervised Foundation Model Based on Three-Dimensional Chest CT Scans for Lung Cancer Diagnosis and Prognosis Prediction.

Radiology. Imaging cancer Mar 1, 2026

Purpose To develop a self-supervised chest CT foundation model and evaluate its performance in lung cancer clinical tasks. Materials and Methods In this retrospective multicenter study, the authors developed the Unified CT-Based Lung Cancer Imaging F... read more

Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI.

Radiology. Imaging cancer Mar 1, 2026

Purpose To evaluate the generalizability of adult-trained models for hepatoblastoma segmentation to pediatric patients and to develop two deep learning (DL) models, M P C T and M p M R I , specifically trained on pediatric contrast-enhanced C... read more

Impact of Annotation Level on Multisequence MRI Models for Preoperative Microvascular Invasion Prediction in Hepatocellular Carcinoma.

Radiology. Imaging cancer Mar 1, 2026

Purpose To evaluate the performance of deep learning models integrating multimodal data for predicting microvascular invasion (MVI) in hepatocellular carcinoma and to investigate the impact of different manual annotation methods on performance. Mater... read more

Preface for Symposium on Artificial Intelligence in Cardiothoracic Imaging.

Journal of thoracic imaging Mar 1, 2026

Diabetes Spotlight: Martin Myers, MD, PhD-Understanding Metabolism and Glucose Through Neural Networks.

Diabetes Mar 1, 2026

Deep Learning-Enabled Diabetic Retinopathy Screening: A Techno-Clinical Revolution or Just More Artificial Intelligence Hype?

Diabetes care Mar 1, 2026

Artificial Intelligence Medical Compendium

Brain Age in Adult Patients With Early-Treated Phenylketonuria.

A Network-Based Association of IBD and Colorectal Cancer Using Proteomics Data.

Machine Learning-Driven Prognostic Model Integrating Lymphocyte-to-C-Reactive Protein Ratio and TNM Staging in Gallbladder Cancer.

Letter to the Editor: Comment on the recent article titled "Diagnostic and economic evaluation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry with machine learning for screening of Johne's disease from dairy cow serum".

A Self-Supervised Foundation Model Based on Three-Dimensional Chest CT Scans for Lung Cancer Diagnosis and Prognosis Prediction.

Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI.

Impact of Annotation Level on Multisequence MRI Models for Preoperative Microvascular Invasion Prediction in Hepatocellular Carcinoma.

Preface for Symposium on Artificial Intelligence in Cardiothoracic Imaging.

Diabetes Spotlight: Martin Myers, MD, PhD-Understanding Metabolism and Glucose Through Neural Networks.

Deep Learning-Enabled Diabetic Retinopathy Screening: A Techno-Clinical Revolution or Just More Artificial Intelligence Hype?

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