Artificial Intelligence Medical Compendium

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

Showing 37,191 to 37,200 of 223,469 articles

Artificial intelligence-assisted detection of epileptic spasms using electroencephalographic-video analysis.

Epilepsia
OBJECTIVE: This study was undertaken to develop and validate an artificial intelligence (AI) diagnostic tool using hybrid electroencephalographic (EEG)-video signals for automatic epileptic spasms (ES) detection. METHODS: This retrospective cohort st... read more 

Safeguarding Online Research in Eating Disorders Against Fraud: Increasing Risks and Practical Recommendations.

The International journal of eating disorders
OBJECTIVE: Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing lit... read more 

A guide to plant breeding for animal breeders.

G3 (Bethesda, Md.)
Over the years, some animal breeding PhD graduates have found employment in major plant breeding companies, but this shift is often accompanied by culture shock. Animal breeding expertise, particularly in genomic prediction and mixed-model analysis, ... read more 

Feature alignment and enhancement network with guided tuning for non-stationary EEG classification.

Journal of neural engineering
Objective.Electroencephalogram (EEG) signal variability caused by external factors and subject differences limits the adaptation of motor imagery (MI) classification models in brain-computer interfaces (BCIs). Existing domain alignment methods often ... read more 

Plethysmography compared to ultrasound for the evaluation of chronic venous insufficiency.

Vascular medicine (London, England)
Background: Chronic venous insufficiency (CVI) can be evaluated using Duplex ultrasonography (US) and air plethysmography (PG), yet comparative performance remains unclear. Methods: We retrospectively identified patients who underwent venous insuffic... read more 

Artificial Intelligence-Assisted Ultrasound in Austere Trauma Environments: Implications for Role 1 Military Medicine.

Military medicine
Pararescue jumpers are United States Air Force medical tactical operators who provide advanced trauma and prolonged casualty care in austere, high-risk environments. Trauma represents the predominant clinical scenario within their operational mission... read more 

Short-chain fatty acid-producing microbes differentiate non-infectious and infectious neutropenic fever in leukemia.

mSystems
UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic malignancies, but its cause is frequently unknown, leading to broad-spectrum antibiotic use without confirmed infections. Although research links gut... read more 

Artificial intelligence in extracorporeal technology: Current applications and future directions-A narrative review.

Asian cardiovascular & thoracic annals
Artificial intelligence (AI) has rapidly emerged as a transformative force across multiple scientific and clinical domains, demonstrating remarkable capabilities in data analysis, pattern recognition, and predictive modeling. In the realm of healthca... read more 

Optimizing Machine Learning-Based Diagnosis of Neurosyphilis in HIV-Negative Patients: A Multicenter, Real-World Comparison of International Diagnostic Criteria.

Emerging microbes & infections
AbstractNeurosyphilis continues to rise globally, yet diagnosis remains challenging, often requiring multidisciplinary expertise and multiple CSF assays that are difficult to access in resource-limited settings. We developed and compared machine-lear... read more 

Predictive performance precision analysis in medicine: identification of low-confidence predictions at patient and profile levels (MED3pa I).

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Artificial Intelligence models are increasingly used in health care, yet global performance metrics can mask variations in reliability across individual patients or subgroups with shared attributes, called patient profiles. This study int... read more