Artificial Intelligence Medical Compendium

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

Showing 1,451 to 1,460 of 163,957 articles

A triple pronged approach for ulcerative colitis severity classification using multimodal, meta, and transformer based learning.

Scientific reports Jul 26, 2025
Ulcerative colitis (UC) is a chronic inflammatory disorder necessitating precise severity stratification to facilitate optimal therapeutic interventions. This study harnesses a triple-pronged deep learning methodology-including multimodal inference p... read more 

Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification.

Scientific reports Jul 26, 2025
Efficient extraction of spectral-spatial features is essential for accurate hyperspectral image (HSI) classification, where capturing both local texture and global semantic relationships is critical. While Convolutional Neural Networks (CNNs) and Tra... read more 

AI-driven preclinical disease risk assessment using imaging in UK biobank.

NPJ digital medicine Jul 26, 2025
Identifying disease risk and detecting disease before clinical symptoms appear are essential for early intervention and improving patient outcomes. In this context, the integration of medical imaging in a clinical workflow offers a unique advantage b... read more 

Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

Annals of surgical oncology Jul 26, 2025
BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric cancer and is a major cause of mortality. Current diagnostic approaches suffer from low sensitivity, time-consuming procedures, and cannot provide real-ti... read more 

A classification method for fluorescence emission spectra of anionic surfactants with few-shot learning.

Journal of molecular modeling Jul 26, 2025
CONTEXT: The unregulated use of anionic surfactants poses significant environmental risks, necessitating methods for their rapid and accurate identification. While fluorescence spectroscopy is a powerful tool, its application faces a critical challen... read more 

A novel hybrid deep learning approach combining deep feature attention and statistical validation for enhanced thyroid ultrasound segmentation.

Scientific reports Jul 26, 2025
An effective diagnosis system and suitable treatment planning require the precise segmentation of thyroid nodules in ultrasound imaging. The advancement of imaging technologies has not resolved traditional imaging challenges, which include noise issu... read more 

Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks.

Scientific reports Jul 26, 2025
Energy hubs (EHs) are considered a promising solution for multi-energy resources, providing advanced system efficiency and resilience. However, their operation is often challenged by the need for techno-economic trade-offs and the uncertainties relat... read more 

Quantification of hepatic steatosis on post-contrast computed tomography scans using artificial intelligence tools.

Abdominal radiology (New York) Jul 26, 2025
PURPOSE: Early detection of steatotic liver disease (SLD) is critically important. In clinical practice, hepatic steatosis is frequently diagnosed using computed tomography (CT) performed for unrelated clinical indications. An equation for estimating... read more 

Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin.

Scientific reports Jul 26, 2025
Accurate river discharge forecasting is essential for effective water resource management, particularly in regions prone to monsoonal variability and extreme weather events. This study presents an interpretable deep learning framework for daily river... read more 

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

Surgical endoscopy Jul 26, 2025
PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive real-time feedback based on motion capture (Mocap) metrics of laparoscopic instruments in simulation training environments. read more 
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