Artificial Intelligence Medical Compendium

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

Showing 2,221 to 2,230 of 202,214 articles

Diagnostic yield and cost of three-level H&E sectioning in prostate biopsies.

Journal of clinical pathology
AIM: The traditional three-level H&E sectioning protocol for prostate biopsies was developed for ultrasound-guided systematic sampling and predates lesion-targeted biopsy approaches. Multiparametrical MRI (mpMRI) has improved detection of clinically ... read more 

Diagnostic performance of machine learning models versus established risk stratification for intracranial aneurysm rupture: a systematic review and bivariate meta-analysis.

Journal of neurology, neurosurgery, and psychiatry
BACKGROUND: Machine learning (ML) models have been proposed to improve the discrimination of intracranial aneurysm rupture status beyond established clinical risk stratification tools. However, reported performance is heterogeneous and the relative c... read more 

Seeing is making: AI visualisation and genomic prediction.

Medical humanities
The integration of artificial intelligence (AI) into genomics is reshaping not only how biological data are analysed, but how genomic knowledge is produced and operationalised in clinical practice. Earlier computational approaches relied on alphanume... read more 

[State of the art and innovations in breast cancer prevention and screening strategies].

Bulletin du cancer
Breast cancer is the most common cancer among women, and its incidence is increasing, particularly in France, due to changes in lifestyle and exposure over the past 40 years. Despite organized screening programs and advances in treatment, breast canc... read more 

Living buildings with living electronics: towards biologically intelligent biohybrids.

Trends in biotechnology
Harnessing the innate growth, self-repair, and adaptive capabilities of living systems within engineered devices could transform static buildings via domestic infrastructures into dynamic, self-sustaining platforms. Electroactive biofilms (EABs) prov... read more 

A Synthetic Data-Augmented Deep Learning Framework for Robust Segmentation and Quantification of the Carotid Artery in Ultrasound Images.

Ultrasound in medicine & biology
OBJECTIVE: To address the severe limitation imposed by the scarcity of annotated data on deep learning-based automated segmentation of the carotid artery in ultrasound images, this study aimed to develop and evaluate a synthetic data generation frame... read more 

Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study.

The Lancet. Digital health
BACKGROUND: Mild bleeding disorders are the most common inherited bleeding disorders, often leading to perioperative haemorrhages. Preoperative screening for mild bleeding disorders remains challenging due to the limitations of existing screening too... read more 

Data-Driven Discovery of Ce3+-Activated Phosphors with Target Excitation Energies for Solid-State Lighting.

ACS applied materials & interfaces
Solid-state lighting relies on inorganic phosphors to efficiently convert violet-to-blue light from light-emitting diodes (LEDs) into broadband visible emission. However, discovering phosphors excitable within the technologically relevant wavelength ... read more 

Wearable, broadband auscultation patch with cantilever pressure transducer for remote healthcare monitoring.

Nature communications
Flexible and wearable devices employing acoustic sensors have emerged as promising alternatives for continuous monitoring of physiological mechano-acoustic signals during daily activities, offering distinct advantages over conventional rigid stethosc... read more