Artificial Intelligence Medical Compendium

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

Showing 68,401 to 68,410 of 233,231 articles

Perivascular space identification nnUNet for generalised usage (PINGU).

Medical image analysis
Perivascular spaces (PVSs) form a central component of the brain's waste clearance system, the glymphatic system. These structures are visible on MRIs when enlarged, and their morphology is associated with aging and neurological disease. Manual quant... read more 

Artificial intelligence revolutionize food detection? Vision, olfaction and taste integrated with machine learning/deep learning in food detection.

Food chemistry
The rapid advancement of artificial intelligence (AI) is profoundly transforming the theoretical framework and technological paradigm of food detection. The study focuses on elucidating the underlying mechanisms of machine learning (ML)- and deep lea... read more 

A machine learning based framework for identifying consumer product injuries from social media data.

Injury
BACKGROUND: Safety is a critical aspect of consumer products. However, there are millions of product related injuries reported each year. Traditional injury surveillance efforts led by public health agencies involve product related injury data collec... read more 

Detection and visualization of water content distribution in Chuju based on hyperspectral imaging technology and machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
During the processing of dried Chuju (Chrysanthemum morifolium Ramat), rapid and non-destructive moisture content detection is crucial for quality control. Due to its complex structure, moisture distribution becomes highly non-uniform during drying p... read more 

Machine learning-assisted dual-mode immunochromatography for high signal-to-noise ratio detection of aristolochic acid-I.

Food chemistry
Developing high signal-to-noise ratio strategies for immunochromatography remains challenging yet highly desirable. Here, we developed a "off-on" dual-mode immunochromatographic assay (ICA) enabling both sensitive on-field colorimetric detection (CIC... read more 

Disability pension during emerging adulthood: Insights from the young-HUNT study on psychological distress, chronic pain, and policy reform.

International journal of medical informatics
INTRODUCTION: Disability pension (DP) among young adults has steadily increased in Norway, with chronic pain and psychological distress among the main causes. This study examined the association between co-occurring psychological distress and chronic... read more 

Artificial Intelligence for Breast Carcinoma Detection in Histopathological Images Based on Single Shot MultiBox Detector in Intraoperative Rapid Diagnosis.

The Tohoku journal of experimental medicine
Intraoperative rapid diagnosis with pathological classification by pathologists plays a pivotal role in making appropriate surgical decisions. However, morphological evaluation of intraoperative frozen sections is apparently more difficult than that ... read more 

Non-invasive diagnosis of metabolic dysfunction-associated steatotic liver disease: Current status, challenges, and future directions.

Diabetes, obesity & metabolism
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent liver disease globally and a significant public health challenge posing serious threats to human health. Although a liver biopsy is considered the gold standard fo... read more 

Creating Virtual Stroke Networks: Current and Future Role of Artificial Intelligence, Mobile Imaging Applications, and Telehealth in Triage and Treatment of Acute Ischemic Stroke: A Scientific Statement From the American Heart Association: The American Academy of Neurology affirms the value of this statement as an educational tool for neurologists.

Stroke
Rapid evaluation, triage, and transport of patients with stroke for thrombolytics, thrombectomy, and other acute treatments have become a vital part of cerebrovascular care. As such, there is a need for technology to facilitate interinstitutional coo... read more 

First Clinical Use of a Novel AI-Based Imaging Tool to Enhance CTO PCI Planning.

JACC. Case reports
BACKGROUND: Chronic total occlusion (CTO) interventions are frequently limited by incomplete angiographic information. We report the use of a novel artificial intelligence (AI)-based spatiotemporal enhancement processing (STEP) software (AngioWave Im... read more