AIMC Topic: Quality Control

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Decentralized Sliding Mode Observer Based Dual Closed-Loop Fault Tolerant Control for Reconfigurable Manipulator against Actuator Failure.

PloS one
This paper considers a decentralized fault tolerant control (DFTC) scheme for reconfigurable manipulators. With the appearance of norm-bounded failure, a dual closed-loop trajectory tracking control algorithm is proposed on the basis of the Lyapunov ...

Summarizing and visualizing structural changes during the evolution of biomedical ontologies using a Diff Abstraction Network.

Journal of biomedical informatics
Biomedical ontologies are a critical component in biomedical research and practice. As an ontology evolves, its structure and content change in response to additions, deletions and updates. When editing a biomedical ontology, small local updates may ...

Film-based delivery quality assurance for robotic radiosurgery: Commissioning and validation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: Robotic radiosurgery demands comprehensive delivery quality assurance (DQA), but guidelines for commissioning of the DQA method is missing. We investigated the stability and sensitivity of our film-based DQA method with various test scenario...

[Advances in pathology technology development in China over the past ten years: retrospect and prospect].

Zhonghua bing li xue za zhi = Chinese journal of pathology
Over the past decade, pathology technology in China has undergone rapid development. Through continuous efforts to strengthen normative foundations and quality control, the three-tiered quality control network (national, provincial, and municipal) ha...

Improving diagnosis in health care: laboratory medicine.

Diagnosis (Berlin, Germany)
Accurate and timely diagnosis remains one of the most complex and challenging processes in medicine. Diagnostic errors pose a significant burden on patients and healthcare systems, with laboratory-related errors playing a substantial role, especially...

First Laboratory Evaluation of FUS-3000 Plus: A New-Generation Urine Analyzer.

The journal of applied laboratory medicine
BACKGROUND: Urine sediment analysis is a cornerstone of diagnostic testing. This study evaluates FUS-3000 Plus, an automated urine sediment analyzer using advanced imaging and artificial intelligence, to assess its technical performance and diagnosti...

Machine learning models for terroir classification and blend similarity prediction: A proof-of-concept to enhance cocoa quality evaluation.

Food chemistry
Flavour is a key quality attribute of cocoa, essential for industry standards and consumer preferences. Automated methods for assessing flavour quality support industrial laboratories in achieving high sample throughput. Targeted and untargeted HS-SP...

Longitudinal evaluation of workflow optimization in radiotherapy: A 4-year retrospective study.

Journal of applied clinical medical physics
BACKGROUND: Efficient workflows are essential for timely, high-quality radiotherapy. In 2020, an internal audit identified key workflow bottlenecks, including long patient wait times, suboptimal treatment planning, and inadequate quality control. Acc...

Comprehensive quality evaluation of crude material of Ligusticum chuanxiong Hort. through high performance liquid chromatography coupled with DenseNet-121 assisted hyperspectral imaging and anti-thrombotic zebrafish bioassay.

Journal of pharmaceutical and biomedical analysis
An innovative, integrated strategy was developed for rapid and comprehensive quality assessment of Ligusticum chuanxiong Hort., the key raw material for Guanxinning tablets. This approach simultaneously evaluates both chemical composition and biologi...

Uncertainty quantification-guided patient-specific quality assurance using Bayesian neural networks based on field complexity features and fluence maps.

Physics in medicine and biology
Recent advancements in artificial intelligence (AI)-driven prediction models for measurement-based patient-specific quality assurance (PSQA) necessitate uncertainty quantification (UQ) to ensure clinical safety.An uncertainty-guided framework was pro...