Core Viewpoint - The article discusses the increasing integration of AI in the medical field, particularly focusing on the advancements made by Baichuan Intelligent in developing a reliable AI model for clinical use, addressing the challenges of trust and cost in medical AI applications [5][6][20]. Group 1: AI Adoption in Healthcare - Many doctors, especially younger ones, are beginning to embrace AI technologies in their practice, with Baichuan's professional model having around 100,000 doctor users [2]. - The medical community generally agrees on the potential of AI, but there are significant barriers to its clinical implementation, primarily trust and cost [4][5]. Group 2: Baichuan's M3 Plus Model - Baichuan's latest model, M3 Plus, has achieved a hallucination rate of 2.6%, the lowest in global evaluations, thanks to its unique six-source evidence technology [6][19]. - The model's success is attributed to Fact-Aware Reinforcement Learning, which incorporates medical facts into the training process to reduce hallucinations [12][46]. Group 3: Cost Reduction and Accessibility - M3 Plus has undergone extensive optimization, resulting in a 70% reduction in API call costs compared to its predecessor, making it more accessible for hospitals and doctors [21][47]. - The Gated Eagle-3 architecture enhances inference throughput by approximately 15%, further lowering the cost per request [22]. Group 4: Evidence Anchoring Technology - Baichuan has introduced "Evidence Anchoring" in M3 Plus, ensuring that every medical conclusion made by the AI is directly supported by original evidence from literature [32][46]. - This approach addresses common issues in AI-generated medical responses, such as incorrect citations and conflicting information, which have historically plagued the industry [25][30]. Group 5: Free Access Initiative - Baichuan has launched the "Haina Baichuan" free plan, allowing unlimited access to M3 Plus for institutions serving medical professionals, provided they display "Powered by Baichuan" [47][48]. - This initiative aims to prevent redundant technological development in the industry and facilitate real-world testing and iteration of AI applications in healthcare [54][56]. Group 6: Impact on Medical Professionals - The advancements in AI, particularly the reduction in hallucination rates, provide medical professionals with greater confidence in their decision-making processes [57]. - The article emphasizes the importance of translating these technological improvements into practical applications that benefit patients directly [61].