Artificial Intelligence Medical Compendium

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

Showing 39,631 to 39,640 of 223,737 articles

A Deep Learning Approach for Analyzing Brainwave Signals During Audio Meditation in Expectant Mothers: Variational Mode Decomposition with a CNN-BiLSTM Model.

Biomedical physics & engineering express
Meditation has increasingly been recognized as a helpful non-pharmacological intervention to treat psychological stress, anxiety, and depression during pregnancy-a period that plays a significant role in maternal and fetal health. Although very popul... read more 

High-fidelity "top-down" DLP bioprinting of multi-material soft tissue constructs enabled by computer vision-based layer control.

Biofabrication
Bioprinting continues to redefine the frontiers of regenerative medicine by enabling the fabrication of complex, three-dimensional tissue constructs that emulate native biological and mechanical functions. However, despite significant progress, criti... read more 

Harnessing Large Language Models in Neonatal IVH: Exploring RAG Methodology for Prognostic Variable Discovery.

American journal of perinatology
OBJECTIVE: To evaluate whether large language models (LLMs) can autonomously synthesize existing literature and accurately extract prognostic variables for neonatal intraventricular hemorrhage (IVH) and its outcomes while assessing their capability f... read more 

Artificial Intelligence Applications in COVID-19-Associated Coagulopathy: Lessons Learned.

Seminars in thrombosis and hemostasis
Coronavirus disease 2019 (COVID-19)-associated coagulopathy (CAC) is a thromboinflammatory syndrome marked by endothelial injury, micro- and macrovascular thrombosis, and, in a minority, late consumptive bleeding. D-dimer elevation was found to be on... read more 

Engineering framework for curiosity-driven and humble AI in clinical decision support.

BMJ health & care informatics
We present BODHI (Balanced, Open-minded, Diagnostic, Humble, and Inquisitive), an engineering framework for curiosity driven and humble clinical decision support artificial intelligence (AI) systems. Despite growing capabilities, large language model... read more 

Interpreting Machine Learning in Rare Outcomes.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
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Combined variations in sleep, physical activity, and nutrition and the risk of major adverse cardiovascular events.

European journal of preventive cardiology
AIMS: Sleep, physical activity, and nutrition (SPAN) are major lifestyle behaviours that influence cardiovascular disease risk. We examined the multi-behaviour associations of SPAN with risk of major adverse cardiovascular events (MACE) and its subty... read more 

Identifying postpartum depression subtypes using natural language processing and clinical notes.

BMJ mental health
BACKGROUND: Postpartum depression (PPD) remains vastly underdiagnosed, and its clinical heterogeneity is not well understood. Diagnosis codes in electronic health records (EHRs) alone may not identify all PPD cases, highlighting a need for novel dete... read more 

Early prediction of adult lymphoma-associated haemophagocytic lymphohistiocytosis using an interpretable machine learning model.

British journal of haematology
Lymphoma-associated haemophagocytic lymphohistiocytosis (LA-HLH) is associated with a high mortality rate, making early diagnosis and appropriate treatment critical for improving patient outcomes. In this study, we enrolled 126 patients diagnosed wit... read more 

Stage-dependent gut microbiome and functional signatures across the liver disease spectrum: an integrative multicohort study.

Gut
BACKGROUND: The gut-liver axis plays a critical role in liver disease progression; however, how gut microbial ecology and function vary across disease stages remains unclear. OBJECTIVE: To define stage-specific microbial and functional signatures and... read more