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Robotic bronchoscopy: Evolution of advanced diagnostic technologies for pulmonary lesions.
Best Pract Res Clin Anaesthesiol
March 2024
1400 Holcombe Blvd, FC 13.2000, Houston, TX, 77030, USA. Electronic address:
Lung cancer is among one of the most commonly diagnosed malignancies and is the leading cause of cancer-related mortality in both men and women globally, with an estimated 1.8 million deaths annually. Moreover, it is also the leading cause of cancer related deaths in the United States (U.
View Article and Find Full Text PDFThe application of deep learning in early enamel demineralization detection.
PeerJ
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Objective: The study aims to develop a diagnostic model using intraoral photographs to accurately detect and classify early detection of enamel demineralization on tooth surfaces.
Methods: A retrospective analysis was conducted with 208 patients aged 14 to 44. A total of 624 high-quality digital images captured under standardized conditions were used to construct a deep learning model based on the Mask region-based convolutional neural network (Mask R-CNN).
Anomalous drainage of lingular vein into left inferior pulmonary vein during thoracoscopic lung cancer surgery.
J Cardiothorac Surg
January 2025
Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Background: The intricate anatomical variations in lung structure often perplex thoracic surgeons, and the accurate identification of these variations is closely associated with favorable surgical outcomes.
Case Presentation: A 53-year-old female patient who underwent computed tomography (CT) examination due to chest discomfort, revealing the presence of a partial solid nodule highly suspected of early-stage lung cancer, measuring approximately 2.8 × 2.
A qualitative study assessing acceptability and appropriateness of a technology-assisted mental health intervention by community frontline workers: mPareshan implementation research in rural Pakistan.
BMC Psychiatry
January 2025
Brain and Mind Institute, Aga Khan University, Stadium Road, Karachi, 74800, Pakistan.
Background: With a shortage of mental health specialists and a significant rural population in Pakistan, leveraging community-based healthcare workers becomes crucial to address mental health needs. Equipping the healthcare workers with digital tools such as mobile applications have the potential to increase access to mental health support in low-resource areas. This study examines the acceptability, appropriateness, barriers, and facilitators to implementing a technology-assisted mental health intervention (mPareshan) delivered by Lady Health Workers (LHWs) in rural Pakistan.
View Article and Find Full Text PDFApplication value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution.
BMC Med Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Yangtze University, No. 40 Jinlong Road, Shashi District, Jingzhou, Hubei, 434000, China.
Objective: The study aimed to evaluate the application value of computed tomography (CT) three-dimensional (3D) reconstruction technology in identifying benign and malignant lung nodules and characterizing the distribution of the nodules.
Methods: CT 3D reconstruction was performed for lung nodules. Pathological results were used as the gold standard to compare the detection rates of various lung nodule signs between conventional chest CT scanning and CT 3D reconstruction techniques.
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