Artificial Intelligence Medical Compendium

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

Showing 57,031 to 57,040 of 227,153 articles

Liquid biopsy biomarkers for accurate detection of malignant pulmonary nodules: a meta-analytic approach.

Discover oncology Jan 29, 2026
UNLABELLED: Pulmonary nodules are a common radiological finding that can be classified as either benign or Malignant, with significant clinical implications. The early detection of malignant nodules is critically important for improving the prognosis... read more 

Benchmark White Matter Hyperintensity Segmentation Methods Fail on Heterogeneous Clinical MRI: A New Dataset and Deep Learning-Based Solutions.

Journal of imaging informatics in medicine Jan 29, 2026
Existing automated methods for white matter hyperintensity (WMH) segmentation often generalize poorly to heterogeneous clinical MRI due to variability in scanner types, field strengths, and protocols. To address this challenge, we introduce a diverse... read more 

Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging.

Journal of imaging informatics in medicine Jan 29, 2026
Machine learning (ML), particularly deep learning (DL) and radiomics-based approaches, has emerged as a powerful tool for cancer outcome prediction using PET and SPECT imaging. However, the comparative performance of different techniques-handcrafted ... read more 

Dynamic Vibration-Coupled Energy Transfer for Boosting ORR Catalysts in Fuel Cells.

Journal of the American Chemical Society Jan 29, 2026
We demonstrate here a promising yet challenging method to produce highly active catalysts by utilizing exothermic adsorption to spur endothermic desorption steps through dynamic surface energy transfer. Taking the oxygen reduction reaction (ORR) cata... read more 

Random Functions as Data Compressors for Machine Learning of Molecular Processes.

Journal of chemical theory and computation Jan 29, 2026
Machine learning (ML) is rapidly transforming the way molecular dynamics simulations are performed and analyzed from materials modeling to studies of protein folding and function. ML algorithms are often employed to learn low-dimensional representati... read more 

Prediction of oil yield in sunflower using deep learning regression algorithm under normal and drought stress conditions.

BMC plant biology Jan 29, 2026
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Interpretable machine learning model for predicting 5-Year postoperative recurrence risk in patients with stage III colon cancer using preoperative laboratory tests: a two-centre study.

BMC gastroenterology Jan 29, 2026
BACKGROUND: Colorectal cancer (CRC) is one of the most prevalent malignant diseases worldwide and displays significant heterogeneity. The aim of this study was to investigate the application of machine learning algorithms to incorporate preoperative ... read more 

Can ChatGPT compete with emergency medicine specialists? A two-stage assessment of ECG interpretation supported by clinical information.

BMC emergency medicine Jan 29, 2026
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An explainable machine learning model for predicting depressive symptoms among Chinese older adults with chronic diseases.

BMC psychiatry Jan 29, 2026
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Multimodal deep learning using preoperative CT and ultrasound for recurrence risk prediction in high-grade serous ovarian carcinoma.

BMC medical imaging Jan 29, 2026
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