Artificial Intelligence Medical Compendium

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

Showing 2,041 to 2,050 of 213,633 articles

Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.

The lancet. Gastroenterology & hepatology
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer screening. Meanwhile, evidence in Lynch syndrome surveillance is sparse and inconsistent. We assessed t... read more 

Automated ventricular and midline segmentation in cranial ultrasound with metrology.

Biomedical physics & engineering express
Ultrasound imaging through sonolucent cranial implants is an emerging modality for post-neurosurgical monitoring of the adult brain, but quantitative interpretation remains challenging due to speckle, attenuation, shadowing, and the difficulty of con... read more 

Deep Learning for Automated Microvascular Flow Quantification in Avian Tumor Models.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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PIDA-GAN: physics-informed dual-stage attention GAN with data consistency for sparse-view CT reconstruction.

Physics in medicine and biology
BACKGROUND: Sparse-view CT reconstruction is an ill-posed inverse problem, where insufficient projection data leads to degraded image quality with increased noise and artifacts. Although deep learning methods can mitigate these artifacts, they freque... read more 

Artificial Intelligence in Systematic Reviews and Meta-Analyses: Task-Specific Performance, Residual Error Quantification, and Human Oversight.

Orthopaedics & traumatology, surgery & research : OTSR
BACKGROUND: The volume of published research has expanded rapidly, intensifying the need for reliable, regularly updated evidence syntheses. Systematic reviews (SRs) and meta-analyses (MAs) remain the highest level of evidence, but their completion i... read more 

The Rise of AI Companions: From Prediction to Surgery in the Digital Twin Era.

Orthopaedics & traumatology, surgery & research : OTSR
Artificial intelligence (AI) is rapidly reshaping orthopaedic surgery, supported by advances in data science, computational power, and perioperative digitalization. Within this evolving landscape, five "AI companions" structure the surgeon's workflow... read more 

A machine learning approach to non-invasive prediction of hepatic decompensation in compensated advanced chronic liver disease: the CIRI model.

Journal of hepatology
BACKGROUND & AIMS: Hepatic venous pressure gradient (HVPG) is the gold standard for assessment of prognosis in compensated advanced chronic liver disease (cACLD), yet its invasiveness limits broad clinical use. We developed and validated the Cirrhosi... read more 

Life-saving therapies to patients in hours - the new algorithmic digital regulatory exchange model.

International journal of pharmaceutics
The growing scale and complexity of pharmaceutical quality data across the product lifecycle are outpacing the capabilities of today's document-centric regulatory paradigm. Current processes are slow, fragmented, and resource-intensive, constrained b... read more 

Development of Convolutional Neural Networks for Classification and Characterisation of Proximal Humerus Fractures on Computed Tomography.

Journal of shoulder and elbow surgery
BACKGROUND: Agreement between surgeons on classification, characterization and choice of treatment for proximal humerus fractures (PHFs) is poor, leading to subjective surgical decision-making and poor inter-surgeon reliability. Machine Learning for ... read more