Artificial Intelligence Medical Compendium

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

Showing 60,101 to 60,110 of 228,014 articles

Comparison of deep learning reconstruction and adaptive statistical iterative reconstruction for head CT in acute stroke.

Neuroradiology Jan 19, 2026
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Progress of lateral flow assays for the detection of molecular and microbial species: from basic formats to microfluids, CRISPR and artificial intelligence.

The Analyst Jan 19, 2026
Lateral flow assays (LFAs) have garnered much interest in the biomedical and agricultural sciences because of their user-friendly design, quick turnaround times, minimal interference, affordability, and ease of use by individuals. To date, many resea... read more 
Humans Artificial Intelligence Bacteria

Advances and innovations in machine learning-based spectral detection methods for trace organic pollutants.

The Analyst Jan 19, 2026
The rapid and sensitive detection of trace organic pollutants in water is crucial for ensuring environmental safety. Traditional detection methods struggle to meet the demands of large-scale, real-time, and on-site detection. This paper reviews recen... read more 

Multimodal analytical approaches to nanomaterials: TEM, diffraction, image processing, and fractal analysis.

The Analyst Jan 19, 2026
In the field of materials science, using diverse experimental and computational methods is a well-known approach as the most effective route to comprehensive material characterization. Combining high-resolution transmission electron microscopy (TEM) ... read more 

Towards generalisable and equitable artificial intelligence in pathology.

Journal of clinical pathology Jan 19, 2026
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Predicting Helicoverpa zea (Lepidoptera: Noctuidae) populations in the southern United States.

Environmental entomology Jan 19, 2026
Forecasting insect pest populations before crops are planted can help improve management and reduce pesticide use. Pests with long dispersal potentials and wide host ranges are difficult to predict but often cause losses in crops across broad spatial... read more 
Machine Learning Animals United States Population Dynamics Models, Biological Moths

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers.

Physiological measurement Jan 19, 2026
Objective.Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due to the potential for poor outcomes with delayed treatment. Treatment for LVO involves highly specialized care, in particular endovascular thrombectomy, ... read more 
Humans Machine Learning Biomarkers Female Aged Aged, 80 and over Male Middle Aged Photoplethysmography Triage Stroke

Validation of uPath HER2 dual-colour dual in-situ hybridisation image analysis tool for HER2/neu testing in breast cancer.

Journal of clinical pathology Jan 19, 2026
AIMS: HER2/neu gene is amplified in 15%-20% of invasive breast cancers (IBCs), serving as critical prognostic and predictive marker. HER2-targeted therapies have improved outcomes for HER2-positive patients, highlighting the importance of accurate as... read more 
Humans Algorithms Retrospective Studies Female Reproducibility of Results Aged Breast Neoplasms Biomarkers, Tumor Middle Aged Image Processing, Computer-Assisted Predictive Value of Tests In Situ Hybridization, Fluorescence Image Interpretation, Computer-Assisted Observer Variation In Situ Hybridization Erb-b2 Receptor Tyrosine Kinases

Patient Perceptions of the Use of Artificial Intelligence in Radiology: A Scoping Review.

Academic radiology Jan 19, 2026
INTRODUCTION: Artificial intelligence (AI) is increasingly being used to support diagnostic accuracy and efficiency in radiology. While its technical potential is well recognized, little is known about how patients perceive these tools or whether the... read more 

Individual identification of brown bears using pose-aware metric learning.

Current biology : CB Jan 19, 2026
Identifying individuals within a species is a cornerstone of ecological and biological research, holding the key to understanding behavior, population dynamics, and conservation needs. However, conventional identification methods such as genetic samp... read more 
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