Artificial Intelligence Medical Compendium

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

Showing 49,741 to 49,750 of 224,814 articles

Secure electronic health record access control via blockchain, dual-attribute encryption, and large language model-based attribute extraction.

Scientific reports
Access control and data privacy are two of the main necessities in managing electronic health records (EHRs) across distributed domain. There are privacy gaps that expose EHRs to risks like unauthorized access by unaffiliated medical personnel. Tradi... read more 

Explainable machine learning for risk prediction of acute cardiac tamponade during atrial fibrillation ablation.

Scientific reports
Cardiac tamponade is a rare yet catastrophic complication during atrial fibrillation (AF) catheter ablation. Influenced by multiple procedural and patient-related factors, its prediction remains highly challenging. This study aimed to develop and int... read more 

EchoNet++: A multilingual soccer match audio commentary dataset.

Scientific reports
We present a robust, multilingual, and multistage audio analysis pipeline for automatic processing of professional soccer match broadcasts. Rather than proposing a new standalone ASR model, this work introduces a reproducible end-to-end system and sy... read more 

Impact of measurement noise on escaping saddles in variational quantum algorithms.

Scientific reports
Stochastic gradient descent (SGD) is a widely used optimization technique in classical machine learning and the Variational Quantum Eigensolver (VQE). In VQE implementations on quantum hardware, measurement shot noise is inevitable. We analyze how th... read more 

A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings.

Annals of surgical oncology
BACKGROUND: Accurate non-invasive diagnosis of early-stage ovarian cancer remains challenging because of the limited number of biomarkers. Although artificial intelligence algorithms show promise for ovarian cancer diagnosis, their reliance on specia... read more 

R-GAT: cancer document classification leveraging graph-based residual network for scenarios with limited data.

Scientific reports
Accurate classification of cancer-related biomedical abstracts is critical for advancing cancer informatics and supporting decision-making in healthcare research. Yet progress in this domain is often constrained by limited availability of labeled cor... read more 

Machine learning-based cfDNA fragmentation profiling using automated capillary electrophoresis for early detection of hepatocellular carcinoma.

Communications medicine
BACKGROUND: Early detection of hepatocellular carcinoma (HCC) remains a significant clinical challenge due to the limited sensitivity of current surveillance tools, alpha-fetoprotein (AFP) and ultrasound. Recently, cell-free DNA (cfDNA) fragmentation... read more 

LeCoder: A large-scale automated coder for coding errors in word-production tasks.

Behavior research methods
Speech errors have been instrumental in advancing our understanding of the architecture of the language production system, the nature of its representations, and its disorders. To be most informative, researchers usually need large amounts of data. H... read more