AI Medical Compendium

CT image-based machine learning models for predicting blood eosinophil levels in acute exacerbation of chronic obstructive pulmonary disease.

BMC pulmonary medicine Mar 10, 2026

Development and validation of a SHAP-explainable preoperative predictive model for microvascular invasion in hepatocellular carcinoma.

BMC cancer Mar 10, 2026

Radiomics-Based machine learning for preoperative prediction of Large-Number central lymph node metastasis in papillary thyroid carcinoma.

Endocrine Mar 10, 2026

Development and validation of an interpretable CT-based scoring model for gastric cancer aggressiveness.

Abdominal radiology (New York) Mar 10, 2026

OBJECTIVES: Accurate prediction of adverse histopathological status (AHS) in gastric cancer (GC) is clinically crucial due to its strong association with poor prognosis. This study aims to develop and validate a CT-based machine learning model for AH... read more

Deep Learning for Analysis of Bone Marrow Adiposity: Breakthroughs from Recent Large-Scale Analyses in the UK Biobank.

Current osteoporosis reports Mar 10, 2026

Biosensing technologies for foodborne pathogen detection and healthcare: principles, emerging materials, and intelligent platforms.

Mikrochimica acta Mar 10, 2026

Label-free multiphoton microscopy and machine learning for recognition of hepatocellular carcinoma.

Scientific reports Mar 10, 2026

Advances in computational prediction of RNA-small molecule binding affinity.

Journal of computer-aided molecular design Mar 10, 2026

Multi-view deep fusion for forensic dental age estimation in tomographic imaging.

International journal of legal medicine Mar 10, 2026

Multimodal deep learning for objective skill assessment in robot-assisted vesico-urethral anastomosis.

Journal of robotic surgery Mar 10, 2026

Artificial Intelligence Medical Compendium

CT image-based machine learning models for predicting blood eosinophil levels in acute exacerbation of chronic obstructive pulmonary disease.

Development and validation of a SHAP-explainable preoperative predictive model for microvascular invasion in hepatocellular carcinoma.

Radiomics-Based machine learning for preoperative prediction of Large-Number central lymph node metastasis in papillary thyroid carcinoma.

Development and validation of an interpretable CT-based scoring model for gastric cancer aggressiveness.

Deep Learning for Analysis of Bone Marrow Adiposity: Breakthroughs from Recent Large-Scale Analyses in the UK Biobank.

Biosensing technologies for foodborne pathogen detection and healthcare: principles, emerging materials, and intelligent platforms.

Label-free multiphoton microscopy and machine learning for recognition of hepatocellular carcinoma.

Advances in computational prediction of RNA-small molecule binding affinity.

Multi-view deep fusion for forensic dental age estimation in tomographic imaging.

Multimodal deep learning for objective skill assessment in robot-assisted vesico-urethral anastomosis.

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