Lian Huitech invited leading medical experts and leading medical scientists to read the advances of the 2026 Medical AI front-line research and the construction of high-quality data sets from a clinical perspective
One-million-grade dermal degenerative data sets to support a large multimodular model, Professor Lin Hong-gu's deep reading of the clinical trust path of skin AI
Professor Liu Tianming's advanced path from weak surveillance to multi-group integration technology
Professor Chen Zhiqiang talks about how chest X-ray AI can bridge the equipment gap and empower primary health care
Professor Sun Mindt's deep reading of the I.R.A. upgrades from sabbatical detection to full process quality control.
Professor Zhao Wembo talks about clinical landing pathways and quality control systems for early screening for stomach cancer.
Professor Zhou Jianhua interprets the evolution of respiratory endoscope AI from detection to navigation.
Professor Zhang Yau spoke about the clinical and scientific value of AI monitoring of child growth and development
Professor Lee King Feng interprets the spinal surgery from 2D measurements to 3D reconstruction. In.
Professor Wang Haitao talks about the value of disabling AI from detection to stylized clinical decision support.
Professor Hee-min Chen interprets the fairness and accessibility of early screening of gynaecology tumours
Professor Shen Bok-chun talks about the technical challenges of Cyclastic Insulinscope AI from detection to bathing depth prediction.