Ultraprocessed Grains and Risk of Inflammatory Bowel Disease: Results From the Prospective Urban Rural Epidemiology Study
Narula, et al.
📕 https://t.co/G7jvFfOp2j
🛑RCT @AGA_CGH mod-to-sev UC - 8wk induction of VEDO+UPA vs mono-VEDO (no placebo👏)
Endoscopic remission (tough goal) 37.5% vs 15.1%‼️
Clinical remission 67% vs 40%‼️
AEs▶️7.5% vs 7%
https://t.co/XKAObyNYwd
AI-driven radiomics shows strong promise in detecting pancreatic cancer (#PDAC) in high- risk patients, with pooled sensitivity of 88% and specificity of 93% across nearly 15K patients
https://t.co/98htzE4JRT
@docdhir The enhancing mural nodule is a significant high-risk feature, considering also the young age of the patient, surgery is advised by guidelines. But sometimes the surgeon is hard to convince in such cases.
Un algoritmo detecta el 73% de cánceres de páncreas en TAC rutinarios hasta 3 AÑOS antes del diagnóstico. El doble que los radiólogos sin IA. Esto no es futuro, está pasando ahora.
https://t.co/YiMNhm6MeX
#CáncerPáncreas#IA#DiagnósticoPrecoz
Here are some of the highlights ‼️
1️⃣ Where to take photos
2️⃣ How to describe lesions
3️⃣ Barrett’s assessment
4️⃣ Gastric intestinal metaplasia
📸: @FrontGastro_BMJ
https://t.co/dW3kKoS1p3
Un sistema de detección temprana basado en Inteligencia Artificial es capaz de detectar el cáncer de páncreas oculto mejor (73 vs 39%) que usando el TAC de los servicios de radiología. https://t.co/rbRg5ZMkUZ
Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisability @Gut_BMJ
So interesting!
👇🏻👇🏻👇🏻
https://t.co/TmsZLP8Fo7
Very relevant work: EUS prior to MDT as default in IPMN?? 👉🏻The Impact of Endoscopic Ultrasound and Multidisciplinary Team Evaluation on the Management of Pancreatic Cystic Lesions - Dbouk - 2026 - United European Gastroenterology Journal https://t.co/P86sviM01U
Patient Perspectives on Artificial Intelligence in Gastroenterology: A Multicenter Survey of Knowledge, Concerns, and Beliefs
Jahagirdar, et al.
📕 https://t.co/AGdhAAoMY6
@MLongMD@JasmohanBajaj