AIMC Topic: Urinalysis

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Evaluating Urine Cytology Slide Digitization Efficiency: A Comparative Study Using an Artificial Intelligence-Based Heuristic Scanning Simulation and Multiple Z-Plane Scanning.

Acta cytologica Apr 22, 2024
INTRODUCTION: Digitizing cytology slides presents challenges because of their three-dimensional features and uneven cell distribution. While multi-Z-plane scan is a prevalent solution, its adoption in clinical digital cytopathology is hindered by pro...
Humans Urothelium Cytodiagnosis Heuristics Reproducibility of Results Artificial Intelligence Image Interpretation, Computer-Assisted Urine Urinary Bladder Neoplasms Algorithms Urinalysis
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[What contribution can make artificial intelligence to urinary cytology?].

Annales de pathologie Apr 12, 2024
Urinary cytology using the Paris system is still the method of choice for screening high-grade urothelial carcinomas. However, the use of the objective criteria described in this terminology shows a lack of inter- and intra-observer reproducibility. ...
Artificial Intelligence Sensitivity and Specificity Urologic Neoplasms Carcinoma, Transitional Cell Humans Urine Urinalysis Urinary Bladder Neoplasms Cytodiagnosis
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Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization.

Computers in biology and medicine Dec 28, 2023
The diagnosis of kidney disease often involves analysing urine sediment particles. Traditionally, urinalysis was performed manually by collecting urine samples and using a centrifuge, which was prone to manual errors and relied on labour-intensive pr...
Humans Neural Networks, Computer Microscopy Urinalysis Machine Learning Kidney Diseases
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Development and validation of artificial intelligence models to predict urinary tract infections and secondary bloodstream infections in adult patients.

Journal of infection and public health Oct 24, 2023
BACKGROUND: Traditional culture methods are time-consuming, making it difficult to utilize the results in the early stage of urinary tract infection (UTI) management, and automated urinalyses alone show insufficient performance for diagnosing UTIs. S...
Urinary Tract Infections Urinalysis Humans Artificial Intelligence Adult ROC Curve Algorithms
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Cross-domain mechanism for few-shot object detection on Urine Sediment Image.

Computers in biology and medicine Sep 20, 2023
Deep learning object detection networks require a large amount of box annotation data for training, which is difficult to obtain in the medical image field. The few-shot object detection algorithm is significant for an unseen category, which can be i...
Image Processing, Computer-Assisted Urinalysis Databases, Factual Deep Learning Humans Algorithms
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Construction of artificial intelligence non-invasive diagnosis model for common glomerular diseases based on hyperspectral and urine analysis.

Photodiagnosis and photodynamic therapy Aug 18, 2023
OBJECTIVE: To develop a non-invasive fluid biopsy assisted diagnosis model for glomerular diseases based on hyperspectral, so as to solve the problem of poor compliance of patients with invasive examination and improve the early diagnosis rate of glo...
Photochemotherapy Photosensitizing Agents Urinalysis Artificial Intelligence Humans Biopsy
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The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology.

Journal of clinical microbiology Jul 3, 2023
The growing transition to digital microbiology in clinical laboratories creates the opportunity to interpret images using software. Software analysis tools can be designed to use human-curated knowledge and expert rules, but more novel artificial int...
Artificial Intelligence Machine Learning Female Image Processing, Computer-Assisted Software Urinalysis Humans
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Searching for the urine osmolality surrogate: an automated machine learning approach.

Clinical chemistry and laboratory medicine Jul 4, 2022
OBJECTIVES: Automated machine learning (AutoML) tools can help clinical laboratory professionals to develop machine learning models. The objective of this study was to develop a novel formula for the estimation of urine osmolality using an AutoML too...
Specific Gravity Humans Osmolar Concentration Machine Learning Urinalysis Algorithms
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Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

Microbiology spectrum Mar 2, 2022
Images of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypot...
Bacteria Urinary Tract Infections Humans Lasers Female Male Urinalysis Deep Learning
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Use of artificial intelligence for tailored routine urine analyses.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Oct 7, 2020
OBJECTIVES: Urine is the most common material tested in clinical microbiology laboratories. Automated analysis is already performed, permitting quicker results and decreasing the laboratory technologist's (LT) workload. These automatic systems have i...
Software Reproducibility of Results Urinalysis Humans Algorithms Urine Artificial Intelligence
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