#Endoscopy
Japan's Leadership in GI Endoscopy AI: From Polyp Detection to Early Cancer Screening
Why Japan leads the world in gastrointestinal endoscopy AI research — and what its screening culture, annotated datasets and industry partnerships can teach China.
Basemed Medical R&D Team · 3 min readWhat Is AI-Assisted Endoscopy Diagnosis? A Guide to GI Endoscopy AI Software
How AI-assisted gastroscopy and colonoscopy software works — real-time lesion detection, anatomical site annotation, automated screenshots, structured image-text reports, and why a traditional deep-learning approach means no AI hallucination.
Basemed Medical R&D Team · 3 min readHow AI Improves Early GI Cancer Screening: A Clinical Perspective
AI as a second pair of eyes in gastroscopy and colonoscopy: higher early-cancer detection rates in primary care, greater efficiency in tertiary hospitals, and what 1000+ multicenter clinical cases tell us.
Basemed Medical R&D Team · 3 min readAutomated Quality Control Statistics for GI Endoscopy: Why It Matters
How automatic QC statistics — completeness, Boston Bowel Preparation scores, withdrawal time and detection indicators — turn endoscopy data into charts without manual effort.
Basemed Medical R&D Team · 3 min read