Data-driven decision-making for precision diagnosis of digestive diseases

S Jiang, T Wang, KH Zhang - BioMedical Engineering Online, 2023 - Springer
Modern omics technologies can generate massive amounts of biomedical data, providing
unprecedented opportunities for individualized precision medicine. However, traditional …

The evolving role of artificial intelligence in gastrointestinal histopathology: An update

DC Codipilly, S Faghani, C Hagan, J Lewis… - Clinical …, 2024 - Elsevier
Significant advances in artificial intelligence (AI) over the past decade potentially may lead
to dramatic effects on clinical practice. Digitized histology represents an area ripe for AI …

Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and …

Y Tolkach, LM Wolgast, A Damanakis… - The Lancet Digital …, 2023 - thelancet.com
Background Oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric
junction are among the most common malignant epithelial tumours. Most patients receive …

Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in …

AAIT Force, S Parasa, T Berzin, C Leggett… - Gastrointestinal …, 2025 - Elsevier
Background and Aims The American Society for Gastrointestinal Endoscopy (ASGE) AI Task
Force along with experts in endoscopy, technology space, regulatory authorities, and other …

A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT

S Faghani, FI Baffour, MD Ringler, M Hamilton-Cave… - Skeletal Radiology, 2023 - Springer
Background Whole-body low-dose CT is the recommended initial imaging modality to
evaluate bone destruction as a result of multiple myeloma. Accurate interpretation of these …

Surveillance in Barrett's esophagus: challenges, progress, and possibilities

PG Iyer, A Chak - Gastroenterology, 2023 - Elsevier
Endoscopic surveillance of Barrett's esophagus, aiming to detect prevalent dysplasia and
adenocarcinoma, followed by effective endoscopic treatment, is an integral part of the …

Clinical outcomes after endoscopic management of low-risk and high-risk t1a esophageal adenocarcinoma: a multicenter study

AK Kamboj, R Goyal, K Vantanasiri… - Official journal of the …, 2024 - journals.lww.com
METHODS: Patients who underwent EET for T1a EAC at 3 referral Barrett's esophagus
endotherapy units between 1996 and 2022 were included. Patients with submucosal …

AI-luminating Artificial intelligence in inflammatory bowel diseases: a narrative review on the role of AI in endoscopy, histology, and imaging for IBD

P Gu, O Mendonca, D Carter, S Dube… - Inflammatory Bowel …, 2024 - academic.oup.com
Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the
detection, monitoring, and prognostication of inflammatory bowel disease (IBD). However …

[HTML][HTML] Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer

C Theocharopoulos, S Davakis, DC Ziogas… - …, 2024 - pmc.ncbi.nlm.nih.gov
Simple Summary The implementation of artificial intelligence in healthcare has gained
significant momentum over the last decade, particularly in specialties where image analysis …

Artificial intelligence—The rising star in the field of gastroenterology and hepatology

M Stan-Ilie, V Sandru, G Constantinescu, OM Plotogea… - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) is a term that covers a multitude of techniques that are used in a
manner that tries to reproduce human intelligence. AI is helpful in various medical …