Artificial Intelligence Medical Compendium

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

Showing 32,161 to 32,170 of 220,797 articles

Digital twin applications in radiology and radiotherapy: Applications, challenges, and future perspectives.

European journal of radiology Apr 12, 2026
Digital twin technology has emerged as a transformative innovation in healthcare, offering virtual replicas of physical entities at patient-level, equipment-level, and departmental-level that enable real-time monitoring, prediction, and optimisation.... read more 

SSMamba: A self-supervised hybrid state space model for pathological image classification.

Medical image analysis Apr 12, 2026
Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while whole-slide image (WSI)-level tasks primarily capture aggregated patterns. To extract these critica... read more 

Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke.

Journal of the neurological sciences Apr 12, 2026
BACKGROUND: Diffusion-weighted imaging (DWI) infarct volume and infarct growth are important imaging biomarkers in patients with acute ischemic stroke and treated with mechanical thrombectomy (MT), but manual measurement is time-consuming and resourc... read more 

Automated dual-stream deep network design for activity recognition.

Journal of biomechanics Apr 12, 2026
This article presents an automated deep learning (AutoDL) framework for multivariate time-series sensor data tailored to the needs of biomechanists. Four public activity recognition datasets featuring different Inertial Measurement Unit sensor placem... read more 

A novel multi-stage attack dataset for smart home intrusion detection.

Data in brief Apr 12, 2026
Modern homes are increasingly relying on networks of internet-connected devices for smart home applications. Unlike an enterprise network, such smart home networks typically tend to have lax cybersecurity protocols in place and are prone to cyber-att... read more 

Explainable machine learning integrating metabolic and inflammatory signatures for personalized prognosis in resected intrahepatic cholangiocarcinoma.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 12, 2026
BACKGROUND: The precise prognostic stratification of intrahepatic cholangiocarcinoma (iCCA) remains challenging. We aimed to develop and validate interpretable machine learning (ML) models that integrate clinicopathological, metabolic, and immune-inf... read more 

Uncertainty-quantified Pulse Signal Recovery from Facial Video using Regularized Stochastic Interpolants

arXiv Apr 12, 2026
Imaging Photoplethysmography (iPPG), an optical procedure which recovers a human's blood volume pulse (BVP) waveform using pixel readout from a camera, is an exciting research field with many researchers performing clinical studies of iPPG algorithms... read more 
Computer Vision and Pattern Recognition

Learning Preference-Based Objectives from Clinical Narratives for Sequential Treatment Decision-Making

arXiv Apr 12, 2026
Designing reward functions remains a central challenge in reinforcement learning (RL) for healthcare, where outcomes are sparse, delayed, and difficult to specify. While structured data capture physiological states, they often fail to reflect the ove... read more 
Artificial Intelligence cs.LG

WBCBench 2026: A Challenge for Robust White Blood Cell Classification Under Class Imbalance

arXiv Apr 12, 2026
We present WBCBench 2026, an ISBI challenge and benchmark for automated WBC classification designed to stress-test algorithms under three key difficulties: (i) severe class imbalance across 13 morphologically fine-grained WBC classes, (ii) strict pat... read more 
Computer Vision and Pattern Recognition

Analytical Modeling and Correction of Distance Error in Homography-Based Ground-Plane Mapping

arXiv Apr 12, 2026
Accurate distance estimation from monocular cameras is essential for intelligent monitoring systems. In many deployments, image coordinates are mapped to ground positions using planar homographies initialized by manual selection of corresponding regi... read more 
Computer Vision and Pattern Recognition
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