Artificial Intelligence Medical Compendium

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

Showing 32,481 to 32,490 of 221,076 articles

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 

Investigating cognitive fatigue recovery through mechanical massage and binaural beats: An AI-driven fNIRS study.

Journal of bodywork and movement therapies Apr 12, 2026
Cognitive fatigue is a state of reduced mental performance resulting from prolonged periods of cognitive activity. It is characterized by a sense of tiredness that reduces decision-making abilities. To date, there remains a significant gap in classif... read more 

Colorectal liver metastases: imaging strategies for diagnosis, local treatment planning and systemic treatment response.

European journal of radiology Apr 12, 2026
Colorectal liver metastases (CRLM) remain a major cause of cancer-related mortality, with imaging playing a critical role in diagnosis, treatment planning, and surveillance. CT and MRI are the mainstays of lesion detection, with MRI offering higher s... read more 

Sustaining Control and Agency Under Threat: Computational Pathways to Persistence and Escape

bioRxiv Apr 12, 2026
Adaptive behavior requires deciding when to persist and when to disengage under uncertainty and partial outcome control. Avoidance has often been studied as a response to threat or cost, yet existing paradigms cannot disentangle whether disengagement... read more 
neuroscience

Cyclome: Large-scale replica-exchange dynamics of 930 cyclic peptide reveal thermal stability and critical metal-binding behavior

bioRxiv Apr 12, 2026
Cyclic peptides are recognized as versatile scaffolds for therapeutic and functional applications due to their structural stability and resistance to degradation. Despite this promise, systematic analysis and prediction of their thermal stability rem... read more 
bioinformatics

Pipette: Encoding scientific literature into an executable Skill Graph for multi-agent bioinformatics

bioRxiv Apr 12, 2026
The cost of genomic sequencing has fallen by several orders of magnitude, yet data analysis remains a bottleneck concentrated among researchers with specialized computational expertise. While Large Language Models can generate bioinformatics code, th... read more 
bioinformatics

HiReS: A Method for Automated Morphometric Trait Extraction from High-Resolution Plankton Images

bioRxiv Apr 12, 2026
Trait-based analyses in plankton ecology require measurements from large numbers of individuals, yet morphometric data are typically collected manually from small subsets. Although deep learning methods enable automated detection and segmentation, ex... read more 
bioinformatics
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