央广网北京11月18日消息（记者孙莹）据中央广播电视总台中国之声报道，现在很多人身体有些不 舒服，会在网上先查下应该看什么科、哪家医院哪些医生在这个专业比较权威等。可是"没病的说成有 病，小病的当成大病"，类似的虚假宣传、过度医疗现象在现实中并不鲜见。小林因身体出现红疹，到 网上搜索到的一家医院就诊，前后花了6万多元还没好转，而且这家医院根本不是对外声称的"三甲老医 院"，而是被行政监管部门认定的"一级医院"。 小林起诉医院虚假陈述、诱导消费、过度治疗，构成欺诈，北京市第三中级人民法院日前通报终审 判决结果，认定被告医院的行为构成欺诈，依据《中华人民共和国消费者权益保护法》的规定，判决医 院退还小林所有医疗费，并三倍赔偿。医疗机构哪些行为会被认定构成欺诈？ 网上"正规三甲老医院"治红疹花费6万多元 2023年5月，小林身上起了红疹感觉不适，在网络上搜索到某医院的信息。咨询过程中，这家医院 工作人员称，他们医院是"综合性国家正规三甲老医院"，小林就放心地到这家医院就诊。 北京市第三中级人民法院民一庭法官助理欧阳志玉介绍："被告医院诊断小林患有皮肤丘疹、炎症 等病症，并为他制定了激光磨削术等四项诊疗方案以及可替代 ...

Core Points - Jorge Zamora-Quezada, a former rheumatologist in Texas, was sentenced to 10 years in prison for committing massive healthcare fraud, amounting to over $118 million in fraudulent claims [1][19][22] - The fraudulent activities included falsely diagnosing healthy patients with rheumatoid arthritis and subjecting them to unnecessary treatments and tests, leading to severe health consequences for many [10][18][20] - The case is considered one of the most egregious healthcare fraud cases in U.S. history, with the judge emphasizing the need for accountability in the medical profession [1][22] Summary by Sections Background - Jorge Zamora-Quezada graduated from the University of Guadalajara in Mexico in 1980 and obtained certifications in internal medicine and rheumatology in the U.S. [3] - His medical career was marred by multiple allegations of sexual harassment and disciplinary actions for providing unnecessary treatments [3][4] Fraudulent Activities - From 2000 to 2018, Zamora-Quezada diagnosed over a thousand patients with rheumatoid arthritis, including children as young as 11, and conducted unnecessary medical procedures [1][10][15] - He manipulated medical records and employed illegal tactics to deceive insurance companies, resulting in over $118 million in fraudulent claims [6][10][11] Legal Proceedings - In 2020, Zamora-Quezada was convicted on multiple charges, leading to the revocation of his medical license and his inclusion in the "Top Ten Worst Medical Professionals" list by Medscape [19] - The sentencing on May 21, 2023, was attended by over 30 victims, highlighting the extensive harm caused by his fraudulent practices [20][21] Impact on Patients - Many patients suffered severe health issues due to unnecessary treatments, including strokes and permanent disabilities, with some losing their ability to perform daily activities [18][20] - Victims expressed their anguish and the long-term impact of Zamora-Quezada's actions on their lives, emphasizing the breach of trust in the doctor-patient relationship [21][22]

Core Viewpoint - The rise of AI-generated "quack doctors" poses significant risks to consumer safety, particularly in the healthcare sector, as these entities can easily deceive the public with fabricated identities and credentials [1][2][3][4] Group 1: AI-Generated Content and Its Implications - AI-generated products, such as "Miao Gu Jin Tie," are marketed as traditional remedies but are often backed by fraudulent claims and identities [1] - The technology allows for the creation of highly realistic images and narratives, making it difficult for consumers to discern authenticity [2] - The potential for misuse of AI in commercial settings raises concerns about false advertising and identity fraud [1][2] Group 2: Regulatory and Supervisory Measures - There is a pressing need for stringent regulations to combat AI-generated medical misinformation, with a focus on preemptive scrutiny of AI-generated content in healthcare [2][3] - Establishing a cross-departmental collaborative supervision mechanism is essential to address the entire supply chain, from fake certification agencies to product manufacturers [3] - Regulatory bodies must adopt a zero-tolerance approach towards AI-generated medical fraud and enhance legal frameworks to hold perpetrators accountable [2][3] Group 3: Technological Solutions and Future Directions - The implementation of AI technologies to detect and counteract AI-generated fraud is crucial, including the development of databases for identifying fake "doctors" [4] - Continuous monitoring of AI technology by platforms and regulatory agencies is necessary to improve detection capabilities and address vulnerabilities [4] - A comprehensive approach that combines technological advancements with regulatory reforms is required to dismantle the profit chains of AI-generated fraud in healthcare [4]