A5088258012- Prostate Cancer Treatment and Research
- Lung Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Respiratory Support and Mechanisms
- Peptidase Inhibition and Analysis
- Protease and Inhibitor Mechanisms
- Neonatal Respiratory Health Research
- Cardiac Arrest and Resuscitation
- Cardiac Imaging and Diagnostics
- Radiopharmaceutical Chemistry and Applications
- Cutaneous Melanoma Detection and Management
- Urologic and reproductive health conditions
- Phonocardiography and Auscultation Techniques
- Hormonal and reproductive studies
- Airway Management and Intubation Techniques
- Cardiac Structural Anomalies and Repair
- Melanoma and MAPK Pathways
- Cardiac electrophysiology and arrhythmias
- Atomic and Subatomic Physics Research
- Prostate Cancer Diagnosis and Treatment
- Health Systems, Economic Evaluations, Quality of Life
- Ultrasound in Clinical Applications
- Advanced MRI Techniques and Applications
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Tungs' Taichung MetroHarbor Hospital
2022-2023
China Medical University
2022
Taichung Armed Forces General Hospital
2019
National Defense Medical Center
2014
The investigation of incidental pulmonary nodules has rapidly become one the main indications for 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET), currently combined with computed (PET-CT). There is also a growing trend to use artificial Intelligence optimization and interpretation PET-CT Images. Therefore, we proposed novel deep learning model that aided in automatic differentiation between malignant benign on FDG PET-CT.In total, 112 participants who underwent before...
Radium-223 is an alpha-emitting, bone-targeting radiopharmaceutical that confers a survival benefit in patients with confirmed bone-metastatic, castration-resistant prostate cancer no visceral metastases. We studied real-world use of radium-223 eligible from tertiary hospital.We retrospectively collected clinical data treated Tungs' Taichung MetroHarbor Hospital by chart review. Data included biochemical parameters, pain scores, other treatments received and adverse events (AEs).Of 36 the...
Melanoma is rare in Taiwan. Asian melanoma distinct from Western because acral and mucosal accounts for the majority of cases, leading to tumor behaviors genetic profiling. With consideration clinical guidelines countries, Taiwanese experts developed a local practice consensus guideline. This includes diagnosis, staging, surgical systemic treatment, based only on evidence, epidemiology, available resources evaluated by emphasizes importance management, particularly sentinel lymph node...
Abstract Purpose: The research aimed to verify the applicability of low computational complexity and high diagnosis accuracy deep convolutional neural network, using MobileNetV2 identify presence chest catheters tubes on X-ray images. Methods: dataset X-rays collected from a teaching hospital included endotracheal tube (ETT), central venous catheter (CVC), nasogastric (NGT) datasets. A new method applying dynamic image size training procedures was implemented compared with fixed training....
Acute respiratory distress syndrome (ARDS) is a disease with high morbidity and mortality rates. The recruitment maneuver (RM) one of the interventions used for ARDS patients suffering from severe hypoxemia. RM works by opening atelectatic lungs using transpulmonary pressure. has therefore been widely many years in ARDS. However, because pressure this intervention, there are concerns about both biotrauma hemodynamic instability. To assess effects ARDS, we conducted study three groups pigs (n...
背景及目的：Chest X-Ray（CXR）影像為診斷氣胸最重要之第一線工具，氣胸會對生命造成威脅，而放置胸管來引流空氣為目前治療氣胸的主要方式。本研究之主要目的為建立AI模型來判讀CXR影像上有無氣胸，並且建立輔助的模型偵測胸管，雖氣胸會對生命造成威脅，但胸管的存在則表示已接受治療。在臨床上，影像判讀出有胸管則表示氣胸的症狀已非緊急，因此本研究提出一結合的AI模型來分辨新形成及接受治療過後的氣胸。本研究旨在使用AI（Artificial Intelligence）作為胸部影像判讀的輔助工具，使準確率提昇及品質均一化，與提昇診斷的效率。方法：本研究基於MobileNet V2的類神經網路方式將有無氣胸做二元分類，輸入資料庫是由放射師做標註並由放射科醫師審查，胸管亦是以同樣方法標註。結果：對氣胸及胸管的辨識準確度可達92.19%及98.22%，AUC值分別為0.9638及0.9968，每張影像的判讀時間更僅只有0.21至0.6秒。討論：本AI模型達到令人滿意的結果並能在未來導入醫療資訊系統，以用於協助緊急氣胸之早期偵測。