Artificial Intelligence Medical Compendium

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

Showing 70,631 to 70,640 of 234,208 articles

CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction.

Neural networks : the official journal of the International Neural Network Society
DNA-binding proteins (DBPs) are fundamental to many key cellular processes, possessing distinct binding domains, differential affinities for single- and double-stranded DNA structures, and playing roles in fundamental biological functions such as DNA... read more 

Machine learning prediction of kangaroo mother care in Sierra Leone: a comparative study of feature selection techniques and classification algorithms.

International journal of medical informatics
BACKGROUND: Kangaroo Mother Care (KMC) is a critical intervention for improving neonatal outcomes, particularly for low-birth-weight infants. Identifying predictors of KMC practice remains essential for targeted health interventions and policy develo... read more 

Introducing feature identification and refinement engine (FIRE) for identifying consistent and informative gene signature.

Computational biology and chemistry
Identifying disease-specific molecular signatures from omics data remains a major challenge in biomedical research. In the case of glioblastoma, one of the most aggressive forms of brain tumors, clinical management is complicated by molecular heterog... read more 

Machine learning-assisted sensing platform for simultaneous and visual detection of tetracycline hydrochloride and ofloxacin.

Biosensors & bioelectronics
Antibiotics are essential in modern medicine; however, their overuse and improper disposal have caused significant environmental contamination, which impacts aquatic systems, food chains, and ecosystems while posing serious risks to human health. Cur... read more 

FANS: A framework for automatic assessment of nutritional status based on free-text clinical notes.

International journal of medical informatics
BACKGROUND: The prevalence of malnutrition is common in hospitalized patients. Timely and efficient nutrition support can improve clinical outcomes and save medical care costs. However, the current assessment of nutritional status relies on the one-b... read more 

Ergonomic handheld chip: An instrument-free RPA-CRISPR platform for rapid home self-testing.

Biosensors & bioelectronics
Global outbreaks of viral infectious diseases underscore the urgent need for low-cost, instrument-free, and user-friendly molecular testing platforms suitable for decentralized or at-home settings. Here, we present an ergonomically actuated handheld ... read more 

Human vs. artificial intelligence: Physicians outperform ChatGPT in real-world pharmacotherapy counselling.

British journal of clinical pharmacology
AIMS: To assess the utility of the artificial intelligence (AI) chatbot ChatGPT (openly available version 3.5) in responding to real-world pharmacotherapeutic queries from healthcare professionals. METHODS: Three independent and blinded evaluators wi... read more 

NHOC/NHOP as novel biomarkers for predicting lymph node metastasis in NSCLC using PET/CT radiomics and machine learning: a two-center retrospective study.

European journal of nuclear medicine and molecular imaging
PURPOSE: NHOC and NHOP, defined as the normalized distances from peak uptake to tumour centroid and perimeter, are novel PET/CT metrics of tumour aggressiveness. This two-centre study assessed the baseline NHOC/NHOP for predicting lymph node metastas... read more 

Strengthening Signal Detection in Pharmacovigilance by Using International Nonproprietary Name (INN) Stems.

Drug safety
'Stems', which mark pharmacological relationships between substances, form the backbone of the International Nonproprietary Name (INN) system, developed by the WHO in the 1950s. In this paper, we propose using the INN stems to enhance pharmacovigilan... read more 

Probabilistic maps of white matter hyperintensity in a Chinese aging cohort and application for clinical diagnosis.

European radiology
OBJECTIVES: White matter hyperintensities (WMH) are abnormalities in brain imaging that contribute to cognitive decline and diseases. This study aimed to build WMH probability maps (WPMs) and normative data of WMH volume from a Chinese aging cohort, ... read more