2026北京两会丨对话市政协委员马立霜：推动创新药械走向临床“最后一公里”

Core Insights - Beijing has made significant progress in promoting the application of innovative medical devices and the integration of "artificial intelligence + healthcare" [1] - There are challenges in bringing innovative medical products to the clinical "last mile," particularly for certain diseases [1] Group 1: AI in Prenatal Diagnosis - The accuracy of prenatal diagnosis for congenital defects is currently between 30% and 60%, highlighting the need for improved diagnostic methods [4] - AI technology is expected to enhance the accuracy and accessibility of prenatal diagnosis by training models on extensive ultrasound data [4] - AI can assist in planning optimal intervention paths during ultrasound-guided procedures, thereby improving safety and effectiveness [4] Group 2: Strengthening Grassroots Healthcare - The grassroots healthcare system is crucial for providing accessible health services, yet there are deficiencies in diagnostic capabilities at this level [5] - AI-assisted prenatal ultrasound diagnostic systems could significantly increase diagnostic accuracy to over 95% [5] - There is a call for dedicated funding to support AI innovations in maternal and child health [5] Group 3: Challenges in Clinical Application of Innovative Products - Recent advancements in minimally invasive surgical techniques for newborns have been noted, but there are hurdles in clinical application due to complex regulatory pathways [7] - The approval process for products that combine medical devices and biological agents is complicated, necessitating clearer clinical translation guidance [7] - A recommendation has been made to create a more flexible access and procurement channel for innovative domestic medical devices aimed at special populations [7]