Post

New research · AI in Medicine
Gastrointestinal endoscopy · 1d
GuidelineGastrointestinal endoscopy · 2026

Innovation and commercialization pathway in gastrointestinal endoscopy: a practical primer from American Society for Gastrointestinal Endoscopy.

Venkata S Akshintala, Amitabh Chak, Yen-I Chen … Drew Schembre
Read paper
AI in MedicineGuideline
“

Innovation and commercialization pathway in gastrointestinal endoscopy: a practical primer from American Society for Gastrointestinal Endoscopy.

Venkata S Akshintala et al. · Gastrointestinal endoscopy · 2026
Background

Gastrointestinal endoscopy has undergone rapid technological evolution, yet many clinician innovators remain unfamiliar with the pathways required to translate ideas into commercially viable technologies.

Purpose

By outlining key strategic, regulatory, and operational considerations, this primer aims to equip clinician innovators with foundational knowledge to navigate the pathway from unmet clinical need to scalable endoscopic technology.

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
AI / Informatics
27,624 words
total Simplified Chinese words with new AI familiarity estimates now available
AI / Informatics
89%
Artificial intelligence/machine learning models correctly identified 89% of high-grade glioma recurrences and non-recurrences.
Systematic Review
“Our review suggests that LDCT screening is generally cost-effective in high-risk populations, although implementing LC screening programs may entail a substantial budgetary impact.”
AI / Informatics
0.761
how well the artificial intelligence system predicted how long patients with pancreatic cancer would live
AI / Informatics
C-index = 96.0%
The model accurately predicted when initial leukemia treatment would not work
AI / Informatics
0.64-0.69
The modest ability of AI-ECG alone to predict irregular heartbeat risk
AI / Informatics
0.987
model's accuracy in identifying Cadmium contamination levels
Cohort Study
4 percentage points
the new method improved the accuracy of survival prediction for rare cancers