AIMC Journal:
Studies in health technology and informatics

Showing 391 to 400 of 1224 articles

Large-Scale Standardized Image Integration for Secondary Use Research Projects.

Studies in health technology and informatics Jan 25, 2024
Imaging techniques are a cornerstone of today's medicine and can be crucial for a successful therapy. But in addition, the generated imaging series are an important resource for new informatics' methods, especially in the field of artificial intellig...
Humans Artificial Intelligence Medicine Hospitals, University Semantics
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A Five-Step Workflow to Manually Annotate Unstructured Data into Training Dataset for Natural Language Processing.

Studies in health technology and informatics Jan 25, 2024
Natural Language Processing (NLP) is a powerful technique for extracting valuable information from unstructured electronic health records (EHRs). However, a prerequisite for NLP is the availability of high-quality annotated datasets. To date, there i...
Humans Algorithms Electronic Health Records Aged Australia Natural Language Processing Workflow
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Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy.

Studies in health technology and informatics Jan 25, 2024
Radiation therapy interruptions drive cancer treatment failures; they represent an untapped opportunity for improving outcomes and narrowing treatment disparities. This research reports on the early development of the X-CART platform, which uses expl...
Humans Artificial Intelligence Neoplasms
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Deep Learning for Midfacial Fracture Detection in CT Images.

Studies in health technology and informatics Jan 25, 2024
This study deploys the deep learning-based object detection algorithms to detect midfacial fractures in computed tomography (CT) images. The object detection models were created using faster R-CNN and RetinaNet from 2,000 CT images. The best detectio...
Humans Algorithms Deep Learning Fractures, Bone Area Under Curve
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Temporomandibular Joint Disorders Multi-Class Classification Using Deep Learning.

Studies in health technology and informatics Jan 25, 2024
Temporomandibular joint (TMJ) disorders have been misinterpreted by various normal TMJ features leading to treatment failure. This study assessed deep learning algorithms, DenseNet-121 and InceptionV3, for multi-class classification of TMJ normal var...
Humans Algorithms Deep Learning Temporomandibular Joint Disorders
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Uncovering Variations in Clinical Notes for NLP Modeling.

Studies in health technology and informatics Jan 25, 2024
Clinical text contains rich patient information and has attracted much research interest in applying Natural Language Processing (NLP) tools to model it. In this study, we quantified and analyzed the textual characteristics of five common clinical no...
Humans Natural Language Processing Semantics Linguistics
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Annotation of Opioid Use Disorder Entity Modifiers in Clinical Text.

Studies in health technology and informatics Jan 25, 2024
Natural Language Processing can be used to identify opioid use disorder in patients from clinical text1. We annotate a corpus of clinical text for mentions of concepts associated with unhealthy use of opiates including concept modifiers such as negat...
Humans Natural Language Processing Opioid-Related Disorders Uncertainty
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A De-Identification Model for Korean Clinical Notes: Using Deep Learning Models.

Studies in health technology and informatics Jan 25, 2024
To extract information from free-text in clinical records due to the patient's protected health information PHI in the records pre-processing of de-identification is required. Therefore we aimed to identify PHI list and fine-tune the deep learning BE...
Humans Republic of Korea Deep Learning Data Anonymization
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Evaluation of Machine Translation Accuracy Focused on the Adverse Event Terminology for Medical Devices.

Studies in health technology and informatics Jan 25, 2024
The purpose of this study was to evaluate the accuracy of deep neural machine translation focused on medical device adverse event terminology. 10 models were obtained, and their English-to-Japanese translation accuracy was evaluated using quantitativ...
Artificial Intelligence Equipment Failure Terminology as Topic Translating
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Colon Disease Classification Method Based on Deep Learning.

Studies in health technology and informatics Nov 23, 2023
Objective Colorectal cancer (CRC) is a common malignant tumor of the digestive system with a high incidence rate. It is prone to misdiagnosis or missed diagnosis in clinical practice. Therefore, researching computer-aided diagnostic methods for endos...
Algorithms Colon Diagnosis, Computer-Assisted Deep Learning Photography
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