AI Medical Compendium Journal:
Journal of the Formosan Medical Association = Taiwan yi zhi

Showing 1 to 7 of 7 articles

TransEBUS: The interpretation of endobronchial ultrasound image using hybrid transformer for differentiating malignant and benign mediastinal lesions.

Journal of the Formosan Medical Association = Taiwan yi zhi May 3, 2024
The purpose of this study is to establish a deep learning automatic assistance diagnosis system for benign and malignant classification of mediastinal lesions in endobronchial ultrasound (EBUS) images. EBUS images are in the form of video and contain...
Bronchoscopy Diagnosis, Differential Humans Deep Learning Image Interpretation, Computer-Assisted Mediastinum Mediastinal Neoplasms Area Under Curve Endosonography
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Exploring generative AI's role in alleviating nursing workload and burnout in Taiwan.

Journal of the Formosan Medical Association = Taiwan yi zhi Feb 16, 2024
Burnout, Professional Nurses Taiwan Workload Humans Artificial Intelligence
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Classifying Alzheimer's disease and normal subjects using machine learning techniques and genetic-environmental features.

Journal of the Formosan Medical Association = Taiwan yi zhi Dec 2, 2023
BACKGROUND: Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factors. The accuracy of artificial neural networks (ANNs) incorporating the common factors for identifying AD has not been evaluated.
Male Case-Control Studies Aged, 80 and over Sensitivity and Specificity Support Vector Machine Alzheimer Disease ROC Curve Polymorphism, Single Nucleotide Neural Networks, Computer Machine Learning Female Aged Humans Gene-Environment Interaction Mitochondrial Precursor Protein Import Complex Proteins
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External validation of machine learning algorithm predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients using a Taiwanese cohort.

Journal of the Formosan Medical Association = Taiwan yi zhi Jul 13, 2023
BACKGROUND/PURPOSE: Identifying patients at risk of prolonged opioid use after surgery prompts appropriate prescription and personalized treatment plans. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) was developed to pred...
Prescriptions Analgesics, Opioid Probability Humans Machine Learning Algorithms Retrospective Studies
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Identifying pathological slices of gastric cancer via deep learning.

Journal of the Formosan Medical Association = Taiwan yi zhi Jun 3, 2022
BACKGROUND: The accuracy of histopathology diagnosis largely depends on the pathologist's experience. It usually takes over 10 years to cultivate a senior pathologist, and small numbers of them lead to a high workload for those available. Meanwhile, ...
Humans Artificial Intelligence Stomach Neoplasms Biopsy Deep Learning Pathologists
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Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening.

Journal of the Formosan Medical Association = Taiwan yi zhi Apr 16, 2020
PURPOSE: To develop a deep learning image assessment software VeriSee™ and to validate its accuracy in grading the severity of diabetic retinopathy (DR).
Taiwan Photography Humans Deep Learning Mass Screening Diabetic Retinopathy Software Retrospective Studies
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Disease-free survival assessment by artificial neural networks for hepatocellular carcinoma patients after radiofrequency ablation.

Journal of the Formosan Medical Association = Taiwan yi zhi Jan 20, 2017
BACKGROUND/PURPOSE: Radiofrequency ablation (RFA) provides an effective treatment for patients who exhibit early hepatocellular carcinoma (HCC) stages or are waiting for liver transplantation. It is important to assess patients after RFA. The goal of...
Treatment Outcome Taiwan Liver Neoplasms Carcinoma, Hepatocellular Disease-Free Survival Female Retrospective Studies Catheter Ablation Aged Tomography, X-Ray Computed Humans Sensitivity and Specificity Neural Networks, Computer Male
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