Artificial Intelligence Medical Compendium

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

Showing 39,821 to 39,830 of 223,737 articles

Preoperative CT-based topologically distinct intratumoral heterogeneity scores for predicting intratumoral tertiary lymphoid structures and outcomes in hepatocellular carcinoma: A multicenter study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Mar 21, 2026
OBJECTIVES: Intratumoral tertiary lymphoid structures (iTLSs) are prognostic biomarkers for hepatocellular carcinoma (HCC). This study aimed to develop a machine learning approach based on topologically distinct intratumoral heterogeneity (ITH) score... read more 

ViFIT-assisted histopathology: From H&E style standardization to virtual fiber image transformation.

Medical image analysis Mar 21, 2026
Deep learning-based virtual fiber staining provides a promising complement to routine H&E pathology. However, the reliance on predefined staining style inputs and manual intervention limits the clinical applicability of existing methods. To address t... read more 

Glioblastoma diagnostic models and therapeutic drug discovery based on GEO data and machine learning methods.

Computational biology and chemistry Mar 21, 2026
BACKGROUND: Glioblastoma (GBM) remains lethal due to high molecular heterogeneity and treatment resistance. While previous studies have proposed various biomarkers, a critical research gap exists: the lack of robust algorithmic validation and systema... read more 

Medium-term prediction of atmospheric PM2.5 concentration based on the VG-TCABI hybrid architecture.

Neural networks : the official journal of the International Neural Network Society Mar 21, 2026
To address the limitations of existing PM2.5 concentration prediction models in extracting temporal features and integrating multi-modal information, the VMD-GWO-TwoConvAttBiLSTM-IAFF (VG-TCABI) model is proposed in this paper. This framework employs... read more 

PGMNO: A physics-Guided mamba neural operator framework for partial differential equations.

Neural networks : the official journal of the International Neural Network Society Mar 21, 2026
Accurately modeling the long-term evolution of complex physical systems governed by partial differential equations (PDEs) remains a central challenge in operator learning. In this work, we introduce the Physics-Guided Mamba Neural Operator (PGMNO), a... read more 

Rapid assessment of pesticide toxicity in aquatic ecosystems using deep learning-based automatic duckweed counting method.

Aquatic toxicology (Amsterdam, Netherlands) Mar 21, 2026
Pesticides are widely used in agriculture to control weeds, insects, and diseases that threaten crop yields. However, their extensive use raises concerns about environmental impacts, particularly in aquatic ecosystems, which are vulnerable to contami... read more 

TFMPHGNN: Two-Fold multi-perspective heterogeneous graph neural network for sentiment analysis.

Neural networks : the official journal of the International Neural Network Society Mar 21, 2026
Sentiment analysis remains challenging due to the complex, intertwined relationships among sentiment expressions, contextual cues, and emotional features distributed across heterogeneous data sources. Conventional deep learning and transformer-based ... read more 

Can ensemble methods improve predictive performance of existing models estimating chronic kidney disease among patients with diabetes?

International journal of medical informatics Mar 21, 2026
BACKGROUND: Clinical prediction models often suffer from poor model transportability and/or subgroup performance resulting from using a single data source. We aimed to determine whether ensemble methods can combine multiple existing models to improve... read more 

Integrated bioinformatics and machine learning, research on specific biomarkers for large-artery atherosclerosis stroke.

Computational biology and chemistry Mar 21, 2026
Large-artery atherosclerosis stroke (LAA) is the main subtype of ischemic stroke. Currently, the diagnosis of LAA is confirmed through magnetic resonance imaging. At present, numerous substances are extensively studied as biomarkers, including metabo... read more 

Comprehensive Evaluation of ChatGPT's Diagnostic Accuracy on Image-based Ophthalmic Case Interpretations.

Ophthalmology science Mar 21, 2026
OBJECTIVE: To evaluate the diagnostic and treatment accuracy of Chat Generative Pre-trained Transformer (GPT-4.o) in ophthalmology, comparing performance when provided with full clinical context versus image-only inputs. DESIGN: Cross-sectional diagn... read more 
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