Artificial Intelligence Medical Compendium

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

Showing 3,191 to 3,200 of 168,416 articles

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews
Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more 

Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance.

Epilepsia
OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography (EEG) is crucial for the diagnosis and management of patients with neurological critical illness. Although automated detection methods are advancing,... read more 

AI-assisted consent in paediatric medicine: ethical implications of using large language models to support decision-making.

Journal of medical ethics
Obtaining informed consent in paediatrics is an essential yet ethically complex aspect of clinical practice. Children have varying levels of autonomy and understanding based on their age and developmental maturity, with parents traditionally playing ... read more 

Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis

arXiv
Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learning-based computer-aided diagnosis (CAD) systems have shown promise in... read more 

Classifying Patient Complaints Using Artificial Intelligence-Powered Large Language Models: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Patient complaints provide valuable insights into the performance of health care systems, highlighting potential risks not apparent to staff. Patient complaints can drive systemic changes that enhance patient safety. However, manual categ... read more 

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation

arXiv
In this paper, we propose new randomized algorithms for estimating the two-to-infinity and one-to-two norms in a matrix-free setting, using only matrix-vector multiplications. Our methods are based on appropriate modifications of Hutchinson's diago... read more 

Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views.

Journal of medical Internet research
BACKGROUND: The potential for generative artificial intelligence (GenAI) to assist with clinical tasks is the subject of ongoing debate within biomedical informatics and related fields. read more 

In-depth bioinformatics analysis uncovers the crosstalk genes and immune interactions among diagnostic markers linked to natural killer cells in patients with cirrhosis and sepsis.

Clinical and experimental medicine
Patients with cirrhosis face an elevated risk of developing sepsis, leading to an escalating mortality rate. This study focuses on the link between natural killer (NK) cells, cirrhosis, and sepsis. Our goal is to identify NK cell-related genes that c... read more