Artificial Intelligence Medical Compendium

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

Showing 59,211 to 59,220 of 227,876 articles

Radiogenomics: Current Understandings and Future Perspectives.

MedComm
Radiogenomics is a rapidly developing field that links radiological image features (radiomics) to genomic-level data (genomics, transcriptomics, and epigenomics), addressing the limitations of single-omic approaches. Radiomics provides a noninvasive ... read more 

Improved screening for pulmonary Kaposi sarcoma in a low-resource setting.

AIDS (London, England)
OBJECTIVE: The lung is commonly involved in advanced Kaposi sarcoma (KS) but diagnosis of pulmonary KS in low-resource settings is difficult. Clinical assessments were evaluated to improve screening for pulmonary KS in a low-resource setting. METHODS... read more 

Reproducing real-world clinical prediction models using the DIVE platform: A comparative validation study across three chronic diseases.

International journal of medical informatics
OBJECTIVES: The aim of this analysis is to evaluate the performance and reproducibility of the Python-based Data Insight Validation Engine (DIVE), a modular analytics interface implemented in Python to facilitate real-world evidence (RWE) generation ... read more 

Chronic kidney disease detection using XceptionNet with Harmonic Addax Optimization.

Computational biology and chemistry
Chronic Kidney Disease (CKD) refers to a persistent and progressive impairment of kidney function occurring over a prolonged duration. Impaired kidney filtration can lead to the accumulation of waste products and excess fluid in the bloodstream, cont... read more 

Deep eutectic hydrogel with polyphenol metal coordination and size reduced cellulose for high performance strain sensing.

Carbohydrate polymers
Deep eutectic solvent (DES)-based hydrogels are environmentally friendly and structurally tunable, yet their applications are often limited by poor conductivity, weak resilience and rigidity. Herein, a multifunctional hydrogel (DC-TAZn) was developed... read more 

Critical assessment of machine learning approaches for classification, dynamic prediction and surrogate Modeling in food fermentation.

Food research international (Ottawa, Ont.)
Machine learning (ML) is increasingly being used in food science due to its ability to extract insights from large datasets. However, the advantages of ML over traditional mechanistic knowledge-based models remain unclear, especially under the limite... read more 

Imaging mammalian lipids using desorption electrospray ionization mass spectrometry: A review.

Analytica chimica acta
Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) has become an essential tool for spatial lipidomic profiling since its introduction in 2005. It provides key insights into the roles of lipids in cellular function, disease mecha... read more 

Channel-wise joint disentanglement representation learning for B-mode and super-resolution ultrasound based CAD of breast cancer.

Medical image analysis
B-mode ultrasound (BUS) is widely used in breast cancer diagnosis, while the emerging super-resolution ultrasound (SRUS) provides microvascular information with high spatial resolution, which has shown great potential in improving breast cancer diagn... read more 

Spatial transcriptional profiling of CHB liver biopsies reveals an undetected population of zonally biased HBV-integrated cells.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: HBV covalently closed circular DNA (cccDNA) and HBV-integrated DNA (iDNA) are features of chronic HBV (CHB). Elimination of both cell populations is likely to be required for functional cure. RNA-based spatial methods, chromogenic ... read more 

Neural Spectral Prediction for Structure Elucidation with Tandem Mass Spectrometry

bioRxiv
Structural elucidation using untargeted tandem mass spectrometry (MS/MS) has played a critical role in advancing scientific discovery. However, differentiating molecular fragmentation patterns between isobaric structures remains a prominent challenge... read more