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Artificial Intelligence-Based Classification of Anatomical Sites in Esophagogastroduodenoscopy Images.
Int J Gen Med
December 2024
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Endoscopy, Peking University Cancer Hospital & Institute, Beijing, 100142, People's Republic of China.
Article Synopsis
- The study explores the use of artificial intelligence (AI) to identify gastric anatomy during endoscopic procedures, addressing the challenge of accurately recognizing various sites within the stomach.
- The AIMED system, utilizing convolutional neural networks, was tested on 160,308 endoscopic images and demonstrated impressive performance, achieving 99.40% accuracy, 91.85% sensitivity, and 99.69% specificity in recognizing 27 anatomical categories.
- The findings suggest that AI can significantly improve the quality and standardization of endoscopic practices, highlighting its potential role in the future of gastrointestinal examinations.
Visualization and Analysis of Vocal Fold Dynamics in Various Voice Disorders.
J Voice
May 2024
The Voice Wellness Centre, A Unit of Macrocosmos Creations Pvt Ltd, Bengaluru, Karnataka, India. Electronic address:
Article Synopsis
- The study investigates glottal dynamics in vocal fold disorders (leukoplakia, laryngitis, papilloma) using visualization technologies like PVG and GVG to improve diagnosis and classification.
- The research employs high-speed video endoscopy and various imaging techniques to analyze the vibratory patterns of affected vocal folds, revealing distinct differences in their behavior.
- Ultimately, the findings suggest that these advanced visualization methods provide crucial insights into vocal fold dynamics, supporting better understanding and assessment of voice disorders compared to traditional methods.
Vocal Cord Monitoring by Flexible Fiberoptic Laryngoscopy During Thyroid Radiofrequency Ablation.
VideoEndocrinology
September 2023
Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Thermal injury to recurrent laryngeal nerve (RLN) during radiofrequency ablation (RFA) can produce temporary or permanent vocal cord paralysis. Hydrodissection with cold 5% glucose of "danger triangle" protects RLN during RFA. When RFA is performed under local anesthesia, RLN function is monitored by patients producing vocal sounds.
View Article and Find Full Text PDFPortrayal of video-assisted mediastinoscopic lymphadenectomy's range subsequent to its simultaneous use with uniportal VAT-lobectomy for left-sided NSCLC: a case-based perspective.
J Cardiothorac Surg
April 2023
Department of Thoracic Surgery, Katholisches Klinikum Koblenz-Montabaur, Rudolf-Virchow-Str. 7-9, 56073, Koblenz, Germany.
Background: Video-assisted mediastinoscopic lymphadenectomy (VAMLA) is the most precise approach combining staging and therapeutic interventions in non-small cell lung cancer (NSCLC). In the case of left-sided NSCLC, the likelihood of mediastinal lymph node metastases depends on the involvement of the left lung regional lymphatic network. As such, it appears obvious - at least for selected patients with mediastinal staging by either PET-CT or EBUS-TBNA ± EUS-FNA and with cN ≤ 2 - to merge VAMLA and left-sided video-assisted thoracoscopic (VAT) lobectomy for a single-stage therapeutical procedure.
View Article and Find Full Text PDFKidney stone depiction on fictional television: how accurate are they?
Urolithiasis
April 2022
Department of Urology, Vattikuti Urology Institute, Henry Ford Hospital, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Fictional portrayals of medical conditions on television have been shown to significantly shape understanding and management expectations of the viewing public. Given the high prevalence of kidney stone disease, we aimed to assess the frequency of its portrayal on US television and assess whether its depiction was reflective of the current epidemiology or management of urolithiasis in the US. A detailed search was conducted for English language depictions of kidney stones in fictional television using internet, movie and television database search engines.
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