#AI Diagnosis
How the United States Deploys AI in Medical Imaging: FDA-Cleared Devices and Clinical Practice
From FDA-cleared devices to radiology workflow integration: how American hospitals deploy AI for lung nodules, stroke, breast cancer and diabetic retinopathy — and what it means for China.
Basemed Medical R&D Team · 3 min read
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 read
Korea's Medical Imaging AI Industry: Fast-Track Regulation and Global Expansion
How Korean companies such as Lunit, VUNO and JLK turned fast-track approval into global exports — a growth model for medical imaging AI in Asia.
Basemed Medical R&D Team · 2 min read
What 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 read
How 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 read
Multimodal and Generative AI in Medical Imaging: Global Progress and the Hallucination Risk
Foundation models and generative AI are transforming medical imaging research worldwide — but hallucination risk means clinical decisions must stay with dedicated imaging models and physicians.
Basemed Medical R&D Team · 3 min read