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AI 研发“长寿”药物首次进入人体临床试验，有望减缓衰老过程
IT之家 9 月 8 日消息，去年，利用 AI 加速药物发现的英矽智能公布了一项临床试验结果，一款候选药物显示出治疗慢性肺病患者的潜力。 当地时间 7 日，据《纽约时报》报道，英矽智能近日透露，同一项试验的数据还揭示出一个 更引人关注的可能性 ：这款药物或许也能减缓衰老过程。 这款药名为 Rento…
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MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis
破解AI看病难题：全新基准MedReaMM如何考核多模态大模型的专业诊断整合能力
arXiv:2608.22323v1 Announce Type: new Abstract: The application of Large Language Models (LLMs) to diagnostic decision-making has garnered growing int…
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ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model
面向全科疾病诊断的ClinicalGPT-R1，专注提升大模型临床推理能力，医学AI新突破。
arXiv:2504.09421v3 Announce Type: replace-cross Abstract: Recent advances in reasoning with large language models (LLMs)has shown remarkable reasoning…
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Teaching LLMs How ICU Physicians Approach Clinical Reasoning Through OMOP-Aligned Retrieval Improves Reasoning Across Clinical Domains
用ICU医生的临床推理范式训练LLM检索，OMOP对齐让AI在跨医疗领域的推理能力显著提升。
arXiv:2608.22622v1 Announce Type: cross Abstract: Clinical decision-making relies on identifying relevant patient information to guide diagnosis and t…
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Performance of a domain-specific large language model in answering patient questions in psychiatry
精神病学专用模型对战通用聊天机器人，评测医疗问答的临床准确性，AI落地医疗的新探索。
arXiv:2608.22797v1 Announce Type: new Abstract: Background This study was designed to evaluate whether a domain-specific large language model (LLM) tr…
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MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
多智能体协作+自学习知识，让大模型在临床诊断中更可靠。
arXiv:2509.20067v5 Announce Type: replace Abstract: Large language models (LLMs) have shown promise in supporting medical diagnosis, with prompting-ba…
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Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction
多智能体角色分工协同开源大模型，精准提升临床预测表现，医疗AI新思路。
arXiv:2608.22176v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly applied to clinical prediction tasks such as in-hospital…
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Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage
用微调LLM填补心理督导缺口，自动完成临床监督与风险分流。
arXiv:2608.18438v1 Announce Type: cross Abstract: Modern mental healthcare faces a critical shortage of senior supervisory oversight, leading to a "su…
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莫德纳 & 默沙东宣布全球首个 mRNA 癌症疫苗三期临床试验证明有效：黑色素瘤术后复发风险显著下降，股价暴涨 150%
IT之家 8 月 19 日消息，莫德纳（Moderna）与默沙东（Merck Sharp & Dohme）今晚宣布其 mRNA 疫苗三期项目取得成功。 这是 mRNA 技术在癌症治疗领域迎来的首个三期试验成功案例，这有望为每年成千上万确诊罹患这种致命皮肤癌的患者带来全新延长生命的疗法。 受此…
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Toddler's tragic death from brain-destroying amoeba offers lessons for doctors
罕见阿米巴感染摧毁幼儿大脑，医生为何错失救治时机？症状特征与诊断盲点解析，为医学诊疗提供重要警示。
Boy's unusual symptoms could help identify the next case sooner.
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专家警示医学生过度依赖 AI：或从一开始就无法形成诊疗推理能力
AI 进入医学教育引发新争议：医生还没学会看病，就先学会了依赖算法
IT之家 8 月 12 日消息，据外媒 Futurism 今天（12 日）报道，斯坦福大学医学院医学学生兼记者西马尔 · 巴贾杰、约翰斯 · 霍普金斯医学中心创伤外科医生兼外科执行副主任约瑟夫 · 萨克兰认为， 医学生使用 AI 带来的问题已经相当令人担忧 。 巴贾杰和萨克兰在《卫报》发表文章称，医…
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When Confidence Fails: Overconfidence in LLMs under Uncertainty and Missing Clinical Information
当临床信息不完整时，大模型可能“迷之自信”，这项研究揭示风险并敲响医疗AI安全警钟。
arXiv:2608.09080v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved strong performance in medical question answering and clin…
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Prompt engineering does not universally improve Large Language Model performance across clinical decision-making tasks
临床决策任务中，提示工程并非万能，三大模型实测效果颠覆直觉，调提示词前先看数据。
arXiv:2512.22966v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated promise in medical knowledge assessments, yet their…
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Plausible Patients, Impossible Populations: Auditing Epidemiological Fidelity in Large Language Model Mental Health Simulations
刷爆AI伦理圈：审计大模型心理模拟的“假病人”，发现看似真实样本实则病症失真，还主动撤回争议结论
arXiv:2604.17359v2 Announce Type: replace-cross Abstract: Language models asked to simulate psychiatric patients produce cases that survive inspection…
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Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies
临床通信遇上AI：用大模型合成数据训练，破解医疗文本处理的数据难题，技术路径与实战案例一次讲透。
arXiv:2608.05993v1 Announce Type: new Abstract: Much clinical value is conveyed not through structured records but through communication: exchanges in…
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Clinician input steers AI toward accurate and harmful recommendations
临床医生反馈竟能同时提升AI建议的准确性与危害性，这项研究揭开人机协作的隐秘风险。
arXiv:2603.14158v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are entering clinical workflows, yet evaluations rarely assess …
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Preferred, Not Safer: Pairwise Preference Is a Poor Proxy for Clinical Safety
临床医生的成对偏好并不等于安全，这项研究给AI医疗评估敲响警钟
arXiv:2608.02617v1 Announce Type: cross Abstract: We evaluate whether clinician pairwise preferences provide a reliable signal of clinical safety in l…
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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits
用图思维链改进因果发现，并揭示事后路径公平审计的脆弱性，适合关注AI公平与因果推理的研究者。
arXiv:2608.02877v1 Announce Type: new Abstract: Causal discovery recovers directed structure from observational data and is increasingly used in clini…
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MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models
罕见病例诊断难，MedUPS用大模型评估临床决策全过程，不止看最终诊断，更贴近真实医疗挑战。
arXiv:2608.01012v1 Announce Type: cross Abstract: Uncommon and off-guideline cases are difficult for clinical decision support, because physicians mus…
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Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools
重磅论文：LLM临床AI的未来瓶颈是检索能力而非幻觉问题，颠覆主流认知
arXiv:2607.24793v1 Announce Type: cross Abstract: Discussions around large language model (LLM) errors in clinical artificial intelligence (AI) genera…