AIMC Topic: Automation

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Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques.

Biomedical physics & engineering express Jun 28, 2024
Presently, close to two million patients globally succumb to gastrointestinal reflux diseases (GERD). Video endoscopy represents cutting-edge technology in medical imaging, facilitating the diagnosis of various gastrointestinal ailments including sto...
Image Interpretation, Computer-Assisted Automation Gastroesophageal Reflux Image Processing, Computer-Assisted Support Vector Machine Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer
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A case study of lean digital transformation through robotic process automation in healthcare.

Scientific reports Jun 25, 2024
Under Taiwan's National Health Insurance (NHI) system, it's crucial for all healthcare providers to accurately submit medical expense claims to the National Health Insurance Administration (NHIA) to avoid incorrect deductions. With changes in healthc...
Automation Taiwan Humans National Health Programs Robotics Delivery of Health Care Efficiency, Organizational
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Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals.

AAPS PharmSciTech Jun 25, 2024
The topology and surface characteristics of lyophilisates significantly impact the stability and reconstitutability of freeze-dried pharmaceuticals. Consequently, visual quality control of the product is imperative. However, this procedure is not onl...
Automation Technology, Pharmaceutical Chemistry, Pharmaceutical Machine Learning Pharmaceutical Preparations Freeze Drying Tomography, X-Ray Computed Quality Control Robotics
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Multi-modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers.

Medical physics Jun 19, 2024
BACKGROUND: Head and neck (HN) gross tumor volume (GTV) auto-segmentation is challenging due to the morphological complexity and low image contrast of targets. Multi-modality images, including computed tomography (CT) and positron emission tomography...
Humans Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Positron Emission Tomography Computed Tomography Tumor Burden Automation
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Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network.

Biomedical engineering online Jun 17, 2024
BACKGROUND: Schizophrenia (SZ), a psychiatric disorder for which there is no precise diagnosis, has had a serious impact on the quality of human life and social activities for many years. Therefore, an advanced approach for accurate treatment is requ...
Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Schizophrenia Automation Humans Spatio-Temporal Analysis Diagnosis, Computer-Assisted
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Artificial intelligence, robotics, and automation viewed through the context of the previous four decades.

Healthcare management forum Jun 13, 2024
Computers and applications of computers into our world have changed dramatically during the past five decades, from early days of minimal central processing unit capacity, limited memory and without advantage of global networking. In this article, th...
Automation Humans Canada Artificial Intelligence Robotics
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Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation.

Biomedical engineering online Jun 8, 2024
Accurate segmentation of multiple organs in the head, neck, chest, and abdomen from medical images is an essential step in computer-aided diagnosis, surgical navigation, and radiation therapy. In the past few years, with a data-driven feature extract...
Image Processing, Computer-Assisted Automation Humans Deep Learning
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Volumetric analysis of acute uncomplicated type B aortic dissection using an automated deep learning aortic zone segmentation model.

Journal of vascular surgery Jun 6, 2024
BACKGROUND: Machine learning techniques have shown excellent performance in three-dimensional medical image analysis, but have not been applied to acute uncomplicated type B aortic dissection (auTBAD) using Society for Vascular Surgery (SVS) and Soci...
Male Middle Aged Disease Progression Reproducibility of Results Aged Predictive Value of Tests Acute Disease Radiographic Image Interpretation, Computer-Assisted Deep Learning Time Factors Imaging, Three-Dimensional Humans Retrospective Studies Female Aortography Aortic Aneurysm, Thoracic Computed Tomography Angiography Aortic Aneurysm Automation Aortic Dissection
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Automated identification of toxigenic cyanobacterial genera for water quality control purposes.

Journal of environmental management Jun 4, 2024
Cyanobacteria are the dominating microorganisms in aquatic environments, posing significant risks to public health due to toxin production in drinking water reservoirs. Traditional water quality assessments for abundance of the toxigenic genera in wa...
Automation Neural Networks, Computer Algorithms Cyanobacteria Quality Control Water Quality
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Automatic detection of epilepsy from EEGs using a temporal convolutional network with a self-attention layer.

Biomedical engineering online Jun 1, 2024
BACKGROUND: Over 60% of epilepsy patients globally are children, whose early diagnosis and treatment are critical for their development and can substantially reduce the disease's burden on both families and society. Numerous algorithms for automated ...
Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning Humans Epilepsy Signal Processing, Computer-Assisted Automation Time Factors Child Electroencephalography
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