A novel endoscopic ultrasomics-based machine learning model and nomogram to predict the pathological grading of pancreatic neuroendocrine tumors

S Mo, Y Wang, C Huang, W Wu, S Qin - Heliyon, 2024 - cell.com
Objectives This research aimed to retrospectively construct and authenticate ultrasomics
models using endoscopic ultrasonography (EUS) images for forecasting the pathological …

[HTML][HTML] Construction and validation of an endoscopic ultrasonography-based ultrasomics nomogram for differentiating pancreatic neuroendocrine tumors from …

S Mo, C Huang, Y Wang, H Zhao, H Wei… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Objectives To develop and validate various ultrasomics models based on endoscopic
ultrasonography (EUS) for retrospective differentiating pancreatic neuroendocrine tumors …

Social acceptance of artificial intelligence (AI) application for improving medical service diagnostics

J Ejdys, M Czerwińska, R Ginevičius - Human Technology, 2024 - ht.csr-pub.eu
The aim of the conducted research was to assess the attitude of the Polish society towards
the use of artificial intelligence in medical diagnostics. In the research process, we sought …

Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis

P Lyu, Y Wang, QX Meng, P Fan, K Ma, S Xiao… - Frontiers in …, 2022 - frontiersin.org
Background Artificial intelligence (AI) is more and more widely used in cancer, which is of
great help to doctors in diagnosis and treatment. This study aims to summarize the current …

[HTML][HTML] The adoption of artificial intelligence assisted endoscopy in the Middle East: challenges and future potential

A El-Sayed, S Salman, L Alrubaiy - Translational Gastroenterology …, 2023 - ncbi.nlm.nih.gov
The use of artificial intelligence (AI) in endoscopy has shown immense potential to enhance
diagnostic accuracy, streamline procedures, and improve patient outcomes. There are …

[HTML][HTML] Recent Updates and Technological Developments in Evaluating Cardiac Syncope in the Emergency Department

U Ojha, J Ayathamattam, K Okonkwo… - Current Cardiology …, 2022 - ncbi.nlm.nih.gov
Syncope is a commonly encountered problem in the emergency department (ED),
accounting for approximately 3% of presenting complaints. Clinical assessment of syncope …

Clinicians' guide to artificial intelligence in colon capsule endoscopy—technology made simple

II Lei, GJ Nia, E White, H Wenzek, S Segui… - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) applications have become widely popular across the healthcare
ecosystem. Colon capsule endoscopy (CCE) was adopted in the NHS England pilot project …

Application of Artificial Intelligence in Celiac Disease: from diagnosis to patient follow-up

M Mahmoudi Ghehsareh, N Asri, S Maleki… - Iranian Journal of Blood …, 2023 - ijbc.ir
Celiac disease (CD) is an autoimmune digestive condition that is distinguished by
inflammation of the small intestine as a result of gluten ingestion. Its worldwide prevalence is …

[PDF][PDF] Role of Artificial Intelligence in the Diagnosis of Gastroesophageal Reflux Disease

S Kommuru, F Adekunle, S Niño, S Arefin… - Cureus, 2024 - cureus.com
Gastroesophageal reflux disease (GERD) is a disorder that usually presents with heartburn.
GERD is diagnosed clinically, but most patients are misdiagnosed due to atypical …

Deep Learning Framework for Cancer Diagnosis and Treatment

S Bahadur, P Kumar - Deep Learning for Targeted Treatments …, 2022 - Wiley Online Library
Background: The awareness on deep learning is rapidly increasing day by day and various
researchers have explored its application in cancer diagnostics. However, there is a need of …