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Edge Artificial Intelligence Device in Real-Time Endoscopy for Classification of Gastric Neoplasms: Development and Validation Study.
Biomimetics (Basel)
December 2024
Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.
Objective: We previously developed artificial intelligence (AI) diagnosis algorithms for predicting the six classes of stomach lesions. However, this required significant computational resources. The incorporation of AI into medical devices has evolved from centralized models to decentralized edge computing devices.
View Article and Find Full Text PDFLarge Language Models in Gastroenterology: Systematic Review.
J Med Internet Res
December 2024
Hansung University, Seoul, Republic of Korea.
Background: As health care continues to evolve with technological advancements, the integration of artificial intelligence into clinical practices has shown promising potential to enhance patient care and operational efficiency. Among the forefront of these innovations are large language models (LLMs), a subset of artificial intelligence designed to understand, generate, and interact with human language at an unprecedented scale.
Objective: This systematic review describes the role of LLMs in improving diagnostic accuracy, automating documentation, and advancing specialist education and patient engagement within the field of gastroenterology and gastrointestinal endoscopy.
Endoscopic Approaches for Managing Small Intestinal Disease.
Annu Rev Med
December 2024
1Division of Gastroenterology, University of California, San Diego, La Jolla, California, USA; email:
The endoscopic evaluation and management of small intestinal diseases continue to evolve and expand. The advent of small bowel wireless capsule endoscopy and deep enteroscopy with either a double- or single-balloon enteroscope now allows complete endoscopic visualization of the entire small intestine and enables access for endoscopic interventions such as biopsies or hemostasis for most of the small bowel. New endoscopic techniques are available to treat proximal malignant small bowel obstruction, including intraluminal stents and endoscopic gastrojejunal stents.
View Article and Find Full Text PDFIntegrating AI-driven wearable devices and biometric data into stroke risk assessment: A review of opportunities and challenges.
Clin Neurol Neurosurg
December 2024
Department of Public Health, York St John University, London E14 2BA, UK. Electronic address:
Stroke is a leading cause of morbidity and mortality worldwide, and early detection of risk factors is critical for prevention and improved outcomes. Traditional stroke risk assessments, relying on sporadic clinical visits, fail to capture dynamic changes in risk factors such as hypertension and atrial fibrillation (AF). Wearable technology (devices), combined with biometric data analysis, offers a transformative approach by enabling continuous monitoring of physiological parameters.
View Article and Find Full Text PDFEvolving Endoscopic Approaches to Pancreatic Pseudocysts and Walled-Off Necrosis: Case Series and Review of Evidence.
J Investig Med High Impact Case Rep
December 2024
Imaging followed by endoscopic ultrasound (EUS)-guided therapy has become the preferred modality for treating pancreatic pseudocysts over surgical or radiological interventions. However, there continues to be a lack of consensus regarding the utility of endoscopic retrograde cholangiopancreatography (ERCP) before and after cyst drainage. We describe 4 cases of large pancreatic pseudocyst causing extrinsic biliary obstruction treated successfully with endoscopic cystogastrostomy decompression using a lumen-apposing self-expandable metal stent (LAMS) without ERCP.
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