AIMC Topic: Laboratories
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Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology.
Frontiers in cellular and infection microbiology
Jun 27, 2023
Clinical diagnostic laboratories produce one product-information-and for this to be valuable, the information must be clinically relevant, accurate, and timely. Although diagnostic information can clearly improve patient outcomes and decrease healthc...
Detection of Missing Bolts for Engineering Structures in Natural Environment Using Machine Vision and Deep Learning.
Sensors (Basel, Switzerland)
Jun 16, 2023
The development of an accurate and efficient method for detecting missing bolts in engineering structures is crucial. To this end, a missing bolt detection method that leveraged machine vision and deep learning was developed. First, a comprehensive d...
[Interest of iDAScore (intelligent Data Analysis Score) for embryo selection in routine IVF laboratory practice: Results of a preliminary study].
Gynecologie, obstetrique, fertilite & senologie
Jun 2, 2023
INTRODUCTION: Embryo selection is a major challenge in ART, especially since the generalization of single embryo transfer, and its optimization could lead to the improvement of clinical results in IVF. Recently, several Artificial Intelligence (AI) m...
Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI).
Clinical chemistry and laboratory medicine
Apr 24, 2023
OBJECTIVES: ChatGPT, a tool based on natural language processing (NLP), is on everyone's mind, and several potential applications in healthcare have been already proposed. However, since the ability of this tool to interpret laboratory test results h...
Design of Low-Complexity Convolutional Neural Network Accelerator for Finger Vein Identification System.
Sensors (Basel, Switzerland)
Feb 15, 2023
In the biometric field, vein identification is a vital process that is constrained by the invisibility of veins as well as other unique features. Moreover, users generally do not wish to have their personal information uploaded to the cloud, so edge ...
Leukocyte deep learning classification assessment using Shapley additive explanations algorithm.
International journal of laboratory hematology
Feb 3, 2023
INTRODUCTION: A peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morpholog...
Towards robotic laboratory automation Plug & play: Survey and concept proposal on teaching-free robot integration with the lapp digital twin.
SLAS technology
Jan 13, 2023
The Laboratory Automation Plug & Play (LAPP) framework is an over-arching reference architecture concept for the integration of robots in life science laboratories. The plug & play nature lies in the fact that manual configuration is not required, in...
Electronic Health Record Optimization for Artificial Intelligence.
Clinics in laboratory medicine
Dec 14, 2022
Laboratory clinical decision support (CDS) typically relies on data from the electronic health record (EHR). The implementation of a sustainable, effective laboratory CDS program requires a commitment to standardization and harmonization of key EHR d...
[Automation and the use of robots in the pathology laboratory : A journey through time and a consideration of efficiency].
Pathologie (Heidelberg, Germany)
Nov 23, 2022
In the past 20 years, numerous technical innovations were introduced to the histopathology laboratory, providing tools for improved standardization and occupational safety. Digital tracking serves as a backbone accompanying the workflow from the labe...
Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories.
Clinical chemistry and laboratory medicine
Nov 3, 2022
OBJECTIVES: The field of artificial intelligence (AI) has grown in the past 10 years. Despite the crucial role of laboratory diagnostics in clinical decision-making, we found that the majority of AI studies focus on surgery, radiology, and oncology, ...
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