AIMC Topic: Laboratories
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DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs.
BMC bioinformatics
Oct 14, 2022
BACKGROUND: Age estimation from panoramic radiographs is a fundamental task in forensic sciences. Previous age assessment studies mainly focused on juvenile rather than elderly populations (> 25 years old). Most proposed studies were statistical or s...
Turnaround time prediction for clinical chemistry samples using machine learning.
Clinical chemistry and laboratory medicine
Oct 12, 2022
OBJECTIVES: Turnaround time (TAT) is an essential performance indicator of a medical diagnostic laboratory. Accurate TAT prediction is crucial for taking timely action in case of prolonged TAT and is important for efficient organization of healthcare...
Disruption vs. evolution in laboratory medicine. Current challenges and possible strategies, making laboratories and the laboratory specialist profession fit for the future.
Clinical chemistry and laboratory medicine
Aug 29, 2022
Since beginning of medical diagnostics, laboratory specialists have done an amazing job, continuously improving quality, spectrum and speed of laboratory tests, currently contributing to the majority of medical decision making. These improvements are...
Assessment of patient based real-time quality control on comparative assays for common clinical analytes.
Journal of clinical laboratory analysis
Aug 10, 2022
BACKGROUND: It is critical for laboratories to conduct multianalyzer comparisons as a part of daily routine work to strengthen the quality management of test systems. Here, we explored the application of patient-based real-time quality controls (PBRT...
Detection of WBC, RBC, and Platelets in Blood Samples Using Deep Learning.
BioMed research international
Jul 14, 2022
A blood count is one of the most important diagnostic tools in medicine and one of the most common procedures. It can reveal important changes in the body and is commonly used as the first stage in the process of evaluating patients' health. Even tho...
A multi-model fusion algorithm as a real-time quality control tool for small shift detection.
Computers in biology and medicine
Jul 12, 2022
BACKGROUND: Patient-based real-time quality control (PBRTQC), a complement to traditional QC, may eliminate matrix effect from QC materials, realize real-time monitoring as well as cut costs. However, the accuracy of PBRTQC has not been satisfactory ...
Establishment of low-cost laboratory automation processes using AutoIt and 4-axis robots.
SLAS technology
Jul 10, 2022
In most small laboratories, many processes are not yet automated because existing laboratory automation solutions are usually expensive and inflexible to use. Examples of this are autosamplers that are only compatible with one specific laboratory ins...
[Automation and application of robotics in the pathology laboratory].
Der Pathologe
Apr 24, 2022
Over the last 20 years, numerous technical innovations have been introduced to the histopathology laboratory, providing tools for improved standardization and occupational safety. Digital tracking serves as a backbone accompanying the workflow from l...
Reflex and reflective laboratory interventions for adding value to test results; an integral part of laboratory stewardship.
Clinical biochemistry
Mar 18, 2022
Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interventions (PARRI), have played a subsidiary role in many diagnostic laboratories, despite mounting evidence of their clinical value. The ever-pervasive ...
Applications of machine learning in routine laboratory medicine: Current state and future directions.
Clinical biochemistry
Feb 25, 2022
Machine learning is able to leverage large amounts of data to infer complex patterns that are otherwise beyond the capabilities of rule-based systems and human experts. Its application to laboratory medicine is particularly exciting, as laboratory te...
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