Artificial Intelligence Medical Compendium

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

Showing 55,701 to 55,710 of 226,731 articles

Reablation of atrial fibrillation targeting electrogram dispersion in patients with isolated veins: The RESTART trial.

Heart rhythm
BACKGROUND: Pulmonary vein (PV) isolation is a well-established treatment for atrial fibrillation (AF), however, strategies for patients with recurrent AF and isolated PVs remain elusive. OBJECTIVE: This study aimed to evaluate the effectiveness of a... read more 

Drug repositioning for human MKN45 gastric cancer mouse model using deep learning AI and experimental validation.

European journal of pharmacology
BACKGROUND: Gastric cancer (GC) requires novel therapies. This study employed artificial neural networks (ANNs) to repurpose existing drugs against GC. METHODS: ANN models predicted candidates from DrugBank using pharmacogenomic descriptors. Top comp... read more 

Perspectives on biomechanical data: a cross-disciplinary survey of current practices, challenges, and future needs.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: The objective of this study was to assess the current usage, challenges, and specific needs regarding biomechanical data, with a focus on gait analysis, across a diverse field such as sports performance, clinical rehabilitation, and occup... read more 

Artificial intelligence in human-assisted reproduction: a paradigm shift still in search of clinical impact.

Current opinion in obstetrics & gynecology
PURPOSE: Artificial intelligence in human-assisted reproduction has attracted intense interest and inflated expectations, with proposed applications ranging from ovarian stimulation to gamete and embryo selection and outcome prediction. Despite the i... read more 

Enhancing upper limb motor recovery prediction after acute stroke using EEG and subacute data.

APL bioengineering
Electroencephalography (EEG) has shown promise in assessing and monitoring functional recovery in stroke survivors, but its utility in predicting upper limb motor recovery in a data-driven framework remains underexplored. This study presents a novel ... read more 

An enhanced diabetes prediction using an improved hybrid deep learning algorithm with mountain gazelle optimizer.

Journal of diabetes and metabolic disorders
Diabetes is one of the global health challenges and requires early detection and an accurate diagnosis for the prevention of serious complications. Traditional methods struggle to handle the complexities of modern data sets. Advanced deep learning te... read more 

Multidimensional chromatographic fingerprint fusion with machine learning: Entropy-based feature evaluation for TCM quality marker discovery.

Talanta
Chromatography is a cornerstone methodology employed for quality evaluation of traditional Chinese medicine (TCM). However, the complexity of chromatographic data, where signals from multiple compounds overlap and interfere, often impedes the accurat... read more 

A qualitative study assessing the acceptability of a multi-agent AI Chatbot for providing HIV and mental health support among men who have sex with men and transgender women in KwaZulu-Natal, South Africa.

Transactions of the Royal Society of Tropical Medicine and Hygiene
BACKGROUND: Transgender women (TGW) and men who have sex with men (MSM) are disproportionately affected by human immunodeficiency virus (HIV) and mental health challenges. Mental well-being influences uptake and adherence to HIV prevention and treatm... read more 

Real-world Study of Three-gas Breath Testing Nationwide and the Association With Symptoms.

Journal of clinical gastroenterology
GOALS AND BACKGROUND: Hydrogen (H 2 ) breath testing (BT) is used to diagnose small intestinal bacterial overgrowth (SIBO), and methane (CH 4 ) to diagnose constipation. Recently, a third microbially derived gas, hydrogen sulfide (H 2 S), was added t... read more 

A computational approach for classification of HIV drug resistance based on the self-consistent extreme classifier.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: The development of viral resistance can significantly reduce the effectiveness of therapy. Human immunodeficiency virus type 1 is the cause of chronic immune dysfunction, leading to the development of co-infections and seri... read more