AIMC Topic: Automation

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Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND AND OBJECTIVE: Electronic medical records with encoded entries should enhance the semantic interoperability of document exchange. However, it remains a challenge to encode the narrative concept and to transform the coded concepts into a st...

Advancing healthcare innovation with Quality 5.0: a hybrid fuzzy AHP-TOPSIS model for strategic prioritization.

International journal of health care quality assurance
PURPOSE: The present study will outline the systematic approach toward implementing Quality 5.0 in the healthcare industry by focusing on patient-centered innovations. It is concerned with assisting healthcare organizations with digital transformatio...

Towards automated and reliable lung cancer detection in histopathological images using DY-FSPAN: A feature-summarized pyramidal attention network for explainable AI.

Computational biology and chemistry
Medical image classification is critical for accurate disease diagnosis, necessitating models that balance performance and interpretability. This study presents Dilated Y-Block-based Feature Summarized Pyramidal Attention Network (DY-FSPAN), a deep l...

An innovative process for efficient automated optimizing IMRT knowledge-based planning (KBP).

Medical physics
BACKGROUND: Radiotherapy treatment planning is a time-consuming task that requires expert and skilled manpower, particularly for weight adjustment. Valuable attempts have been made to automate the treatment planning process as well as decrease comput...

Evaluation of a retrieval-augmented generation system using a Japanese Institutional Nuclear Medicine Manual and large language model-automated scoring.

Radiological physics and technology
Recent advances in large language models (LLMs) enable domain-specific question answering using external knowledge. However, addressing information that is not included in training data remains a challenge, particularly in nuclear medicine, where exa...

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

Computer methods and programs in biomedicine
UNLABELLED: Applying HR-pQCT to image the knee necessitates the development and validation of novel image analysis workflows. Here, we present and validate the first automated workflow for in vivo quantitative assessment of peri-articular bone densit...

Miniaturized spectroscopy and AI-driven probes in food industry automation.

Food research international (Ottawa, Ont.)
Spectroscopy is a rapidly advancing analytical technique, which is increasingly employed in the food industry as a non-destructive and rapid quality control tool. Based on spectral analysis and developed multivariate predictive models this technique ...

Equitably Applying Artificial Intelligence in the United States Workforce Using Training and Collaboration.

New solutions : a journal of environmental and occupational health policy : NS
Advances in artificial intelligence (AI) have raised ethical concerns related to fairness, privacy, and trust. While AI may improve elements of the economy, its benefits will be unevenly experienced with more than half of jobs in the United States ex...

Neural Network-based Automated Classification of 18 F-FDG PET/CT Lesions and Prognosis Prediction in Nasopharyngeal Carcinoma Without Distant Metastasis.

Clinical nuclear medicine
PURPOSE: To evaluate the diagnostic performance of the PET Assisted Reporting System (PARS) in nasopharyngeal carcinoma (NPC) patients without distant metastasis, and to investigate the prognostic significance of the metabolic parameters.

Ensuring SOTIF: Enhanced object detection techniques for autonomous driving.

Accident; analysis and prevention
Neural networks' insufficient interpretability can lead to unguaranteed Safety of the Intended Functionality (SOTIF) issues when perceptual results are not always met in autonomous driving applications. To address the safety shortcomings in the curre...