Artificial Intelligence Medical Compendium

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

Showing 2,531 to 2,540 of 235,381 articles

Potential to improve early detection of lung cancer through expansion of focused and opportunistic screening approaches: a scoping review focusing on potential expansion of screening risk factors and adoption of artificial intelligence models.

Lung cancer management
BACKGROUND: Low-dose computerized tomography (LDCT) is the gold standard for lung cancer (LC) screening, but access is hindered by strict eligibility criteria and limited infrastructure in low/middle-income countries. A combination of approaches, inc... read more 

Cerium Valence-Gated Interfacial Exciton Reconstruction for Fluorescence Modulation.

Angewandte Chemie (International ed. in English)
Interfacial electronic coupling plays a decisive role in governing excited-state evolution and signal transduction in optoelectronic systems, yet dynamically adaptive interfaces driven by valence-state evolution remain largely unexplored in fluoresce... read more 

An EEG-based framework for Alzheimer's disease diagnosis via single-channel multi-entropy fusion and ensemble learning.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Alzheimer's Disease (AD) is a prevalent neurodegenerative disorder characterized by progressive cognitive decline, and its early diagnosis is vital for timely intervention. However, most existing EEG-based diagnostic methods rely on multi-channel dev... read more 

The transformative power of artificial intelligence and machine learning in blood banking/transfusion medicine: A vein-to-vein approach from blood collection to transfusion services: On behalf of the AABB Foundation.

Transfusion
BACKGROUND: Artificial intelligence (AI)/machine learning (ML) are poised to transform transfusion medicine across the vein-to-vein continuum, from donor recruitment to recipient outcomes. Large datasets generated from millions of donations and trans... read more 

Repurposing a commercial artificial intelligence vision platform for automated surgical instrument identification: a proof-of-concept study.

Patient safety in surgery
BACKGROUND: Retained surgical items are classified as never events but continue to occur, and the count meant to prevent them is often recorded as correct even when an item is retained. Computer vision could provide an independent check on what is on... read more 

[Precision fluid management and artificial intelligence-assisted decision-making in severe pneumonia induced septic shock].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Severe pneumonia-induced septic shock is one of the most representative complex syndromes in pulmonary critical care medicine. Its pathophysiology results from the combined effects of alveolar-capillary barrier injury, infection-associated vasodilati... read more 

[Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Severe pneumonia, characterized by rapid progression and high heterogeneity, is a leading cause of patient mortality. Early identification of high-risk patients is crucial for improving outcomes. Traditional risk stratification tools, such as CURB-65... read more 

[Acute respiratory distress syndrome secondary to severe pneumonia: how to perform precise and individualized assessment].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Severe pneumonia is the most common cause of acute respiratory distress syndrome (ARDS), and precise and individualized assessment is a prerequisite for improving therapeutic outcomes. Of all bedside assessment tools, respiratory physiological indica... read more 

A 4-Qubit Variational Quantum Classifier for Sequence-Specific Classification of DNMT3A and DNMT3B Flanking Methylation Preferences

arXiv
DNA methylation is a critical epigenetic modification that regulates gene expression and genome stability, primarily catalyzed by the DNA methyltransferase 3 (DNMT3) family of enzymes. Distinguishing precise sequence-specific flanking preferences bet... read more 

Improving the Evaluation of Biomedical Question Answering with Few Human Preference Signals

arXiv
Retrieval-Augmented Generation (RAG) systems are increasingly used for biomedical Question Answering (QA). However, evaluating their effectiveness remains challenging due to the lack of reliable reference resources and the frequent misalignment betwe... read more