Artificial Intelligence Medical Compendium

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

Showing 48,091 to 48,100 of 224,199 articles

Machine learning-assisted HS-GC-IMS for discrimination and traceability of baby bottles based on volatile fingerprints.

Journal of chromatography. A
Ensuring the safety of food contact materials, particularly baby bottles, is crucial for infant health. In this study, a comprehensive analytical strategy integrating headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) with machine lea... read more 

A bibliometric approach to understanding trends and major topics in cone beam computed tomography research.

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVES: This bibliometric analysis aimed to map the existing knowledge landscape and identify emerging research trends in the field of cone-beam computed tomography (CBCT). STUDY DESIGN: A search was performed in the Web of Science (Wos) Database... read more 

Machine learning-based prediction and quantification of OCD surgery and pedigree effects on racehorse performance.

Veterinary journal (London, England : 1997)
Osteochondritis dissecans (OCD) is a common developmental orthopedic condition in Thoroughbred racehorses and although arthroscopic surgery is widely used for treatment, its long-term effects on race performance remain unclear. This retrospective stu... read more 

A review of ageing related biomarkers in breath.

Ageing research reviews
The growing ageing population presents significant challenges for healthcare systems, particularly in monitoring age-related physiological decline. Ageing is a complex, multifactorial process that manifests without specific symptoms and is shaped by ... read more 

Cerebrovascular 5D flow MRI.

NeuroImage
BACKGROUND: 4D flow MRI facilitates quantification of cardiac phase-resolved blood velocity vector fields and has successfully been deployed to study cerebrovascular flow. Besides cardiac-induced flow pulsation, respiration is known to modulate arter... read more 

Parietal repetitive transcranial magnetic stimulation enhances functional connectivity in patients with minimally conscious state.

Neuroscience
The basis of disorders of consciousness is the destruction of brain functional connectivity, and the restoration of damaged connectivity is considered as an indicator of consciousness recovery. The purpose of this study is to explore the effect of pa... read more 

The emerging role of antibody-drug conjugates in EGFR-mutant non-small cell lung cancer with acquired resistance to third-generation EGFR tyrosine kinase inhibitors.

Journal of controlled release : official journal of the Controlled Release Society
Resistance to third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) presents a significant clinical challenge for patients with advanced EGFR-mutant non-small cell lung cancer. Resistance arises through diverse me... read more 

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study.

EClinicalMedicine
BACKGROUND: Large electronic databases are powerful tools for studying rare diseases, however accurate Interstitial Lung Disease (ILD) classification remains challenging. Rule-based approaches rely heavily on diagnostic codes-unreliable markers of IL... read more 

A transformer and 3D CNN-based feature fusion network with interpretable ability for Raman spectra analysis: improving the diagnosis of thyroid cancer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Accurate differentiation of benign and malignant thyroid lesions continues to pose a significant clinical challenge. Raman spectroscopy offers label-free molecular fingerprints of cells, yet the identification of diagnostic spectral patterns remains ... read more