Artificial Intelligence Medical Compendium

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

Showing 331 to 340 of 212,780 articles

HPA-Net: a lightweight hierarchical progressive fusion network for cardiac disease detection based on ECG-PCG signals.

Biomedical physics & engineering express
Cardiovascular disease (CVD) remains a leading global health threat, creating a strong clinical need for convenient and rapid diagnostic methods. However, current single-modality and conventional fusion methods often fail to adequately utilize the in... read more 

Radiological Clearance at CERN: Classical Machine Learning Methods for Waste Classification.

Journal of radiological protection : official journal of the Society for Radiological Protection
At CERN, the maintenance and dismantling of high-energy particle accelerators generate waste that is potentially radioactive. When activity levels are negligible, waste can be released from regulatory control through clearance procedures. However, ra... read more 

Machine Learning Prediction of Liver Fibrosis in Patients with Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD).

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
BACKGROUND: Accurate staging of liver fibrosis is crucial for risk stratification in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to develop and validate AI-based models capable of distinguishing fibrosis s... read more 

Bisphenol A drives the comorbidity of non-alcoholic fatty liver disease and osteoarthritis by targeting RHOB: Integrated multi-omics, single-cell analysis, and experimental validation.

Experimental gerontology
BACKGROUND: This study focuses on exploring the co-morbid mechanisms by which Bisphenol A (BPA) induces non-alcoholic fatty liver disease (NAFLD) and osteoarthritis (OA). METHOD: This study identified potential BPA targets utilizing the SwissTargetPr... read more 

Deep cross-modal representation fusion learning for enhanced drug target affinity prediction.

Analytical biochemistry
Prediction of Drug Target Affinity (DTA) is essential for accelerating computational drug discovery and reducing experimental costs. However, traditional experimental approaches for DTA estimation are resource-intensive and are further challenged by ... read more 

Academics' Experiences and Perceptions of ChatGPT in Nutrition and Dietetics Education: A Qualitative Study.

The Journal of nutrition
BACKGROUND: Artificial intelligence (AI) tools such as ChatGPT are increasingly influencing health sciences education, prompting renewed attention to their pedagogical, ethical, and professional implications. OBJECTIVES: This qualitative study explor... read more 

Who is at high risk of poor diet quality? A precision public health nutrition approach using machine learning.

The Journal of nutrition
BACKGROUND: Suboptimal diet quality contributes to poor health. Numerous factors at all levels of the socioecological model intersect to influence individuals' diet quality. A precision public health nutrition framework can be used to understand how ... read more 

An Attention-Based Transformer Algorithm Integrated with YOLO Framework for Lesion Localization and Detection Diabetic Retinopathy.

Photodiagnosis and photodynamic therapy
Diabetic Retinopathy (DR) is one of the major causes of vision loss among diabetic patients across the globe, and it is a major challenge to the public health. It is important to detect the retinal abnormalities early to avoid the progression of the ... read more 

Precision forensic toxicology: Leveraging Toxicogenomics, multi-omics, and artificial intelligence for next-generation poisoning investigations.

Clinica chimica acta; international journal of clinical chemistry
For much of its history, forensic toxicology was built on a core analytical question: what poison or drug is present, and at what concentration? That question still matters, but modern casework increasingly shows that it is no longer sufficient on it... read more 

Cardiopulmonary point-of-care ultrasound for critical care.

Clinical medicine (London, England)
Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment and management of critically ill patients. This review outlines the evolution of POCUS from a focused, rule-in/rule-out modality to an advanced, integr... read more