Artificial Intelligence Medical Compendium

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

Showing 12,231 to 12,240 of 210,314 articles

Integrative single-cell and bulk transcriptomic analysis identifies lesion-associated gene signatures for prognostic stratification and therapeutic guidance in head and neck squamous cell carcinoma.

Biochemistry and biophysics reports
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis and variable response to therapy. Effective biomarkers for prognosis and treatment guidance remain limited. METHODS: We performed integ... read more 

Deciphering the multi-target mechanism of Magnolia officinalis in irritable bowel syndrome with diarrhea: A combined network pharmacology, machine learning, and in vivo validation study.

Biochemical and biophysical research communications
BACKGROUND: The bark of Magnolia officinalis Rehder & E. Wilson, used in TCM for abdominal distension, pain, and diarrhea, aligns with IBS-D symptoms. It is now supported by evidence for its multi-component, multi-target action. This study aims to el... read more 

Vision-language models as an integrative layer for clinical artificial intelligence in radiology: A systems-level perspective.

Clinical imaging
Clinical adoption of artificial intelligence (AI) in radiology has matured through task-specific tools for detection, segmentation, triage, and quantitative measurement, yet most deployed systems operate as isolated applications with distinct interfa... read more 

Advancing stroke prevention in atrial fibrillation: a systematic review of machine learning-based risk prediction models.

International journal of medical informatics
BACKGROUND: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and confers a four to fivefold increase in ischemic stroke risk, accounting for approximately 15 - 20% of all stroke events globally. Despite this burden, the predom... read more 

Patient Perceptions and preferences for the disclosure of artificial intelligence generated draft replies to electronic messages - A qualitative study.

International journal of medical informatics
BACKGROUND: Since their public release, artificial intelligence-generated draft replies (GDRs) to patient portal messages have been rapidly adopted across healthcare systems. Concurrently, debate has arisen regarding the extent to which GDRs should b... read more 

AI-enabled, enzyme-integrated photonic crystal sensor for real-time noninvasive visual uric acid detection.

Colloids and surfaces. B, Biointerfaces
Since uric acid (UA) serves as a critical biomarker for diagnosing metabolic disorders such as gout and hyperuricemia, developing noninvasive optical sensors for UA analysis provides significant advantages. However, conventional visual detection sens... read more 

Recent Advances in Imaging of Demyelinating and Dysmyelinating White Matter Lesions.

Seminars in roentgenology
White matter diseases encompass a heterogeneous spectrum of central nervous system disorders, with neuroimaging serving a pivotal role in their diagnosis and evaluation. Recent advances in imaging techniques and diagnostic frameworks have refined the... read more 

Contrasting Impacts of Policy Interventions and Population Mobility on Organic Aerosols and Oxygenated Volatile Organic Compounds in Beijing.

Environmental pollution (Barking, Essex : 1987)
Organic aerosol (OA) is a dominant component of fine particulate matter in megacities, yet disentangling the impacts of emission changes from meteorological variability remains a major challenge for air quality management. This study investigates the... read more 

An Explainable Machine Learning Model Integrating Transcranial Doppler and Clinical Data to Predict Outcomes After Endovascular Thrombectomy in Acute Ischemic Stroke.

World neurosurgery
BACKGROUND: Endovascular thrombectomy (EVT) has improved outcomes in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO); however, a substantial proportion of patients still experience poor functional outcomes despite successf... read more 

Virtual crystal violet chromoendoscopy: a digital alternative to dye-based staining.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Routine use of crystal violet (CV) chromoendoscopy for pit pattern-based colorectal lesion characterization is limited by safety concerns. We developed and clinically validated an artificial intelligence (AI)-based virtual crysta... read more