Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 58,351 to 58,360 of 227,634 articles
Enhanced 30 m Impervious Surfaces for China (2020, 2022) via 2 m/30 m Data Fusion.
Scientific data
Jan 24, 2026
We present the China Impervious Surface Cover dataset for 2020 and 2022 (CISC2020, CISC2022) at 30-meter spatial resolution. The dataset covers mainland China and adjacent regions where input 2-meter satellite imagery was available. Generation involv... read more
Pareto-based design of thermophotovoltaic micro-combustors via a novel framework combining IGWO-tuned ANN, multi-objective multi-verse optimization, and ARAS-based decision making.
Scientific reports
Jan 24, 2026
The efficient design of micro planar combustors (MPCs) is vital for advancing thermophotovoltaic (TPV) energy systems. However, current approaches often lack integration between predictive modeling, optimization, and decision-making processes. This s... read more
Sickle cell disease detection in low-resource conditions using transfer-learning and contrastive-learning coupled with XAI.
Scientific reports
Jan 24, 2026
Sickle cell disease (SCD) is a severe hereditary blood disorder that affects millions worldwide, necessitating early and accurate detection to improve patient outcomes. State-of-the-art approaches for automatic detection of SCD use deep learning (DL)... read more
An efficient dual path deep learning framework for COVID-19 classification using lung CT scans with explainable AI.
Scientific reports
Jan 24, 2026
Immunohistochemical biomarker-associated radiomics for classifying thymic epithelial tumors: a multicenter retrospective study.
NPJ precision oncology
Jan 24, 2026
The subtle imaging features of thymic epithelial tumors (TETs), which comprise multiple pathological subtypes of thymoma and thymic carcinoma, are of great significance for the identification of high-risk patients. Finding the radiomics features rela... read more
Predicting kidney graft survival with a machine learning model based on for-cause biopsy transcriptomics.
Scientific reports
Jan 24, 2026
Kidney transplantation significantly improves outcomes in end-stage renal disease, however, long-term graft survival remains suboptimal. Traditional prognostic models often yield limited predictive power. Given the routine use of for-cause biopsies i... read more
Water quality index prediction via a robust machine learning model using oxygen-related indices for river water quality monitoring.
Scientific reports
Jan 24, 2026
Research on the molecular mechanism of celastrol targeting CTNNB1/STAT3 to inhibit uveal melanoma based on network pharmacology and multi-omics analysis.
Scientific reports
Jan 24, 2026
Uveal melanoma (UM) is among the most prevalent intraocular malignant tumors worldwide. Celastrol exhibits broad-spectrum anticancer properties; however, its underlying therapeutic mechanism in UM is yet to be elucidated. In this study, a network pha... read more
Hidden patterns in volcanic seismicity: deep learning insights from Mt. Etna's 2020-2021 activity.
Scientific reports
Jan 24, 2026
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