AIMC Topic: Expert Systems
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Prioritization of Mycotoxins Based on Their Genotoxic Potential with an In Silico-In Vitro Strategy.
Toxins
Oct 19, 2021
Humans are widely exposed to a great variety of mycotoxins and their mixtures. Therefore, it is important to design strategies that allow prioritizing mycotoxins based on their toxic potential in a time and cost-effective manner. A strategy combining...
Performance of Fully Automated Antimicrobial Disk Diffusion Susceptibility Testing Using Copan WASP Colibri Coupled to the Radian In-Line Carousel and Expert System.
Journal of clinical microbiology
Aug 18, 2021
The purpose of the present study was to assess the agreement at the categorical level between the Vitek 2 system and the Colibri coupled to the Radian under real routine laboratory conditions. The 675 nonduplicate clinical strains included in this st...
RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection.
IEEE transactions on neural networks and learning systems
Aug 3, 2021
The novel 2019 Coronavirus (COVID-19) infection has spread worldwide and is currently a major healthcare challenge around the world. Chest computed tomography (CT) and X-ray images have been well recognized to be two effective techniques for clinical...
Investigation into liquisolid system processability based on the SeDeM Expert System approach.
International journal of pharmaceutics
Jun 30, 2021
Liquisolid systems are emerging formulation approach for poorly soluble drugs, based on adsorption/absorption of drug dispersion and obtaining free-flowing powder with good compressibility. SeDeM Expert System represents a powder processability evalu...
Evaluation of the VITEK 2 Advanced Expert System performance for predicting resistance mechanisms in Enterobacterales acquired from a hospital-based screening program.
Pathology
May 3, 2021
There is limited literature examining the accuracy of the VITEK 2 Advanced Expert System (AES) in characterisation of β-lactamase resistance patterns. We present a prospective single centre study to better ascertain the performance characteristics of...
Ontology-driven weak supervision for clinical entity classification in electronic health records.
Nature communications
Apr 1, 2021
In the electronic health record, using clinical notes to identify entities such as disorders and their temporality (e.g. the order of an event relative to a time index) can inform many important analyses. However, creating training data for clinical ...
A Protocol for the Diagnosis of Autism Spectrum Disorder Structured in Machine Learning and Verbal Decision Analysis.
Computational and mathematical methods in medicine
Mar 30, 2021
Autism Spectrum Disorder is a mental disorder that afflicts millions of people worldwide. It is estimated that one in 160 children has traces of autism, with five times the higher prevalence in boys. The protocols for detecting symptoms are diverse. ...
Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation.
Diagnostic pathology
Mar 11, 2021
BACKGROUND: Immunohistochemistry (IHC) remains the gold standard for the diagnosis of pathological diseases. This technique has been supporting pathologists in making precise decisions regarding differential diagnosis and subtyping, and in creating p...
Use of Neurosoft expert system improves turnaround time in a laboratory section specialized in protein diagnostics: a two-year experience.
Clinical chemistry and laboratory medicine
Mar 5, 2021
Glaucoma Expert-Level Detection of Angle Closure in Goniophotographs With Convolutional Neural Networks: The Chinese American Eye Study.
American journal of ophthalmology
Feb 9, 2021
PURPOSE: To compare the performance of a novel convolutional neural network (CNN) classifier and human graders in detecting angle closure in EyeCam (Clarity Medical Systems, Pleasanton, California, USA) goniophotographs.
Photography
Anterior Eye Segment
Ophthalmologists
Humans
Specialization
Neural Networks, Computer
Glaucoma, Angle-Closure
Retrospective Studies
Gonioscopy
Area Under Curve
Aged, 80 and over
Expert Systems
Male
Cross-Sectional Studies
Diagnosis, Computer-Assisted
Female
Asian
Middle Aged
China
Reproducibility of Results
Image Processing, Computer-Assisted
Aged
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