Group 1 - AIGC technology is making significant strides in various sectors, including healthcare, with initiatives like Baidu Health's "Starry Sky Public Welfare Plan" aiming to create over 100 million AIGC health science information pieces and develop 100 expert IPs [1] - The National Health Commission and other authorities have launched a three-year action plan to enhance public health literacy, encouraging collaboration between healthcare providers and tech companies to improve health education [1] - Baidu's initiative includes a rigorous AIGC content production review process to mitigate the "hallucination" problem, ensuring the reliability and authority of generated health information through a combination of AI and human review [2] Group 2 - The plan aims to create 10,000 doctors with over 10 million exposure in traffic by 2026, enhancing their professional and science communication influence [2] - Ant Group's AI health application AQ has also integrated 269 doctor intelligent agents and initiated the first standard system for AI doctors in the healthcare industry [2]

Group 1 - The core initiative "Mantanxing Public Welfare Program" launched by Baidu Health aims to collaborate with 100,000 doctors to create over 100 million authoritative AIGC (Artificial Intelligence Generated Content) health science articles [2] - The program will establish 100 leading expert IPs and provide free digital avatars for 1,000 doctors, while also offering foundational capabilities of Baidu Health's large model and computing resources to medical schools and research institutions for building industry-specific models [2] - The first phase of the program, focusing on "AIGC Review of Authoritative Science," is set to launch in August, addressing the hallucination issues present in large models used for medical knowledge Q&A [2] Group 2 - Baidu Health has designed a rigorous content production review process for AIGC, which includes rapid generation of health science content by large models, followed by intelligent and manual reviews by Baidu Health AI auditors, and final reviews by external doctors and experts [2] - The "AIGC + Human Review" model aims to redefine the health medical dictionary in the 2.0 era, achieving over a 15% increase in user satisfaction compared to traditional medical dictionaries [2]

Core Viewpoint - Baidu Health has launched the "Mantanxing Public Welfare Program" aimed at creating over 100 million authoritative AIGC (Artificial Intelligence Generated Content) health science articles in collaboration with 100,000 doctors [1] Group 1: Program Details - The program will establish 100 leading expert IPs and create digital avatars for 1,000 doctors for free [1] - Baidu Health will provide foundational capabilities of its health model and offer high-performance computing resources to medical schools and research institutions to co-develop industry-specific models [1] Group 2: AIGC Content Production - The "AIGC Review of Authoritative Science" initiative will launch in August, addressing the hallucination issues present in current large models in medical knowledge Q&A [1] - A rigorous content production review process has been designed, which includes rapid generation of health science content by the large model, followed by intelligent and manual reviews by Baidu Health AI auditors, and final reviews by external doctors and experts [1] Group 3: User Satisfaction - The "AIGC + Human Review" model redefines the health medical dictionary in the 2.0 era, achieving over a 15% increase in user satisfaction compared to traditional medical dictionaries [1]

Core Viewpoint - Baidu Health has launched the "Mantanxing Public Welfare Plan" to create over 100 million authoritative AIGC health science articles in collaboration with 100,000 doctors, aiming to enhance digital health education and resources [1] Group 1: Initiative Overview - The plan includes the establishment of 100 expert IPs and the creation of digital avatars for 1,000 doctors, alongside providing computational resources for industry model development [1] - The AIGC review process involves rapid content generation, AI and human review, and external expert validation to ensure the reliability and authority of health information [1] Group 2: Expected Outcomes - The initiative aims to produce 10,000 doctors with over 10 million exposure in traffic by 2026 [1] - User satisfaction with the new AIGC and human-reviewed health encyclopedia has increased by over 15% compared to traditional medical references [1] Group 3: Support for Medical Professionals - Baidu Health will provide a "digital base" for doctors, including AI training tools and internet resources to enhance their professional and educational influence [1]