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Machine Learning-Based Estimation of Hoarseness Severity Using Acoustic Signals Recorded During High-Speed Videoendoscopy.
J Voice
January 2025
Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Objectives: This study investigates the use of sustained phonations recorded during high-speed videoendoscopy (HSV) for machine learning-based assessment of hoarseness severity (H). The performance of this approach is compared with conventional recordings obtained during voice therapy to evaluate key differences and limitations of HSV-derived acoustic recordings.
Methods: A database of 617 voice recordings with a duration of 250 ms was gathered during HSV examination (HS).
Gastrointestinal symptoms and disorders of gut-brain interaction in pregnancy.
Indian J Gastroenterol
January 2025
Department of Gastroenterology, Criticare Asia Multispeciality Hospital and Research Centre, Mumbai, 400 049, India.
Gastrointestinal (GI) symptoms occur frequently in pregnant women, resulting in poor quality of life. These patients frequently require co-management with the obstetrician and a physician/GI specialist. The causation is complex and multifactorial.
View Article and Find Full Text PDFLaparoscopic and Endoscopic cooperative surgery as Rescue-treatment for Advanced gastric Cancer in patients Unfit for Surgery (LE-RACUS): protocol for a feasibility study.
Pilot Feasibility Stud
January 2025
Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Surgery and Oncology, Karolinska Institutet, Hälsovägen 13, 141 57, Huddinge, Stockholm, Sweden.
Background: The standard treatment for advanced gastric cancer without metastasis is gastrectomy in combination with chemotherapy. Some patients cannot tolerate such treatment because of old age or comorbidities. In this study, we want to test the feasibility of Laparoscopic and Endoscopic Cooperative Surgery (LECS) as a less invasive treatment option.
View Article and Find Full Text PDFCombining the Variational and Deep Learning Techniques for Classification of Video Capsule Endoscopic Images.
J Imaging Inform Med
January 2025
Gastroenterology Department of Gandhi Medical College, Bhopal, 462003, India.
Gastrointestinal tract-related cancers pose a significant health burden, with high mortality rates. In order to detect the anomalies of the gastrointestinal tract that may progress to cancer, a video capsule endoscopy procedure is employed. The number of video capsule endoscopic ( ) images produced per examination is enormous, which necessitates hours of analysis by clinicians.
View Article and Find Full Text PDFDevelopment and Validation of an AI-Based Multimodal Model for Pathological Staging of Gastric Cancer Using CT and Endoscopic Images.
Acad Radiol
January 2025
Guangxi Medical University, Nanning, Guangxi 530021, China (C.Z., D.H., B.W., S.W., Y.S., X.W.); Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi 530021, China (C.Z., D.H., B.W., S.W., Y.S., X.W.); Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China (D.H., X.W.). Electronic address:
Rationale And Objectives: Accurate preoperative pathological staging of gastric cancer is crucial for optimal treatment selection and improved patient outcomes. Traditional imaging methods such as CT and endoscopy have limitations in staging accuracy.
Methods: This retrospective study included 691 gastric cancer patients treated from March 2017 to March 2024.
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