Artificial Intelligence Medical Compendium

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

Showing 62,511 to 62,520 of 230,507 articles

Development of Betalactam-Predictor: A Clinical Decision Tool for Delabeling Low-Risk Betalactam Allergy Patients. Initial Validation in Penicillin Allergy.

Allergy
BACKGROUND: A label of betalactam (BL) allergy is estimated in around 10% of the population in their medical records. Second-line choices carry significant negative consequences, including reduced efficacy, effectiveness, and safety. This study aimed... read more 

The Potential of Ensemble-Based Automated Sleep Staging on Single-Channel EEG Signal From a Wearable Device.

Journal of sleep research
Machine-learning-based sleep staging models have achieved expert-level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non-conventional referencing montage and the... read more 

AI-driven emotional intelligence in piano education: Deep learning models for expressive performance coaching.

Acta psychologica
With the increasing use of artificial intelligence (AI) in higher music education, there is a growing need to evaluate whether intelligent feedback systems can meaningfully enhance expressive piano performance. This study investigates the research qu... read more 

Predictors of Paravalvular Leakage After Transcatheter Aortic Valve Replacement in Patients With BAV: A Machine Learning Model.

JACC. Advances
BACKGROUND: The specific anatomy of bicuspid aortic valve (BAV) increases the incidence of ≥ mild paravalvular leakage (PVL) after transcatheter aortic valve replacement (TAVR). OBJECTIVES: The purpose of this study was to develop and validate a mode... read more 

Deep Learning-Derived Right Ventricular Ejection Fraction Predicts Mortality in Patients Undergoing Transcatheter Tricuspid Valve Intervention.

JACC. Advances
BACKGROUND: Transcatheter tricuspid valve intervention (TTVI) has emerged as a valuable therapeutic option for patients with severe tricuspid regurgitation. However, the impact of TTVI on right ventricular (RV) function remains incompletely understoo... read more 

Transformer-based feature extraction approach for hematopoietic cancer subtype classification.

Computers in biology and medicine
Accurate classification of hematopoietic cancer subtypes remains challenging due to the multipotent nature of hematopoietic cells and the absence of definitive genetic markers. To address this, we propose a Transformer-based Autoencoder that captures... read more 

Establishment of threshold of human gut microbes and risk assessment system for colorectal cancer.

Computers in biology and medicine
BACKGROUND: Being involved in the occurrence of colorectal cancer (CRC), gut microbes are potential targets for early diagnosis of CRC. Defining the threshold of these characteristic bacteria could provide a basis for the clinical application of micr... read more 

Multimodal diagnosis of Parkinson's disease with an internet-based collaborative agent architecture of medical language models.

Computers in biology and medicine
Parkinson's disease (PD) remains one of the most prevalent neurodegenerative disorders, where delays in diagnosis compromise therapeutic outcomes and increase healthcare costs. Conventional unimodal approaches, based on voice, sensors, or imaging, fa... read more 

Generative AI in medicine: A thorough examination of applications, challenges, and future perspectives.

Computers in biology and medicine
Generative AI, an artificial intelligence, significantly transforms the healthcare sector. Recent breakthroughs in Generative AI include the use of language models and leveraging modern pre-trained Transformer models such as ChatGPT, Bard, LLaMA, DAL... read more 

How human-perceived urban green spaces contribute to mental well-being: a machine learning approach.

Journal of environmental management
Global urbanization has heightened attention to urban green spaces (UGS) and their role in supporting mental well-being (MWB). While macro-scale landscape ecology has guided the quantity and morphology of UGS, a human-perception perspective is still ... read more