医学高质量论文简报(周报) · 总览

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2128 项
论文动态:本周论文涵盖AI/ML在医学影像、LLM临床应用、数字健康干预、基因组学、表观遗传学、结构生物学及基础物理/材料/气候等跨学科领域。其中AI与数字健康相关研究占主导,包括基于非门控CT的AI冠脉钙化评分预测免疫治疗患者心血管风险、LLM吸入器使用指导的准确性比较、医疗大数据文本分析系统、机器学习与营养/不宁腿综合征关联分析、AI临床系统采纳模型、儿童/成人肥胖数字健康干预综述等。基础研究方面涉及RNA剪接深度学习模型的可解释性、18阿秒光脉冲、二维聚合物光物理、古气候重建、表观遗传时钟对长寿干预的响应、TRPV2通道物种差异结构基础、CRISPR长读测序分析工具及LLM心理健康聊天机器人风险。整体呈现从技术验证向临床转化与安全性评估的过渡。

行业动态:行业新闻聚焦FDA对AI医疗器械的监管框架与审批现状,强调AI/ML设备需满足安全性、有效性和透明度要求;同时AI医疗市场规模持续增长,Google DeepMind等科技巨头正探索AI辅助临床决策的可靠路径,行业趋势从单纯技术开发转向监管合规、临床整合与责任划分。

高频期刊 TOP10

研究主题聚类

📄 论文动态 本周论文涵盖AI/ML在医学影像、LLM临床应用、数字健康干预、基因组学、表观遗传学、结构生物学及基础物理/材料/气候等跨学科领域。其中AI与数字健康相关研究占主导,包括基于非门控CT的AI冠脉钙化评分预测免疫治疗患者心血管风险、LLM吸入器使用指导的准确性比较、医疗大数据文本分析系统、机器学习与营养/不宁腿综合征关联分析、AI临床系统采纳模型、儿童/成人肥胖数字健康干预综述等。基础研究方面涉及RNA剪接深度学习模型的可解释性、18阿秒光脉冲、二维聚合物光物理、古气候重建、表观遗传时钟对长寿干预的响应、TRPV2通道物种差异结构基础、CRISPR长读测序分析工具及LLM心理健康聊天机器人风险。整体呈现从技术验证向临床转化与安全性评估的过渡。 ### 🏭 行业动态 行业新闻聚焦FDA对AI医疗器械的监管框架与审批现状,强调AI/ML设备需满足安全性、有效性和透明度要求;同时AI医疗市场规模持续增长,Google DeepMind等科技巨头正探索AI辅助临床决策的可靠路径,行业趋势从单纯技术开发转向监管合规、临床整合与责任划分。 ### 📊 高频期刊 TOP10 | 期刊 | IF | 篇数 | |:---|---:|---:| | Nat Commun | 14.7 | 10 | | Digit Health | 23.8 | 7 | | | 7.5 | 5 | | Nat Med | 58.7 | 4 | | Nat Biomed Eng | 25.8 | 3 | | Nat Neurosci | 25.0 | 3 | | Elife | 6.4 | 3 | | Genome Biol | 10.1 | 2 | | Nat Genet | 31.7 | 2 | | Crit Care | 19.3 | 2 | ## 二、研究主题聚类 ### AI/ML在临床决策与影像分析
6 篇
AI从影像判读、风险预测到LLM辅助患者教育,逐步嵌入临床工作流,但需解决准确性、安全性和临床验证问题。
数字健康干预与行为改变
2 篇
针对肥胖等慢性病的数字健康干预强调理论驱动、多组件整合及家庭/社会支持,混合式干预效果优于纯数字方案。
基因组学与生物医学基础机制
4 篇
深度学习模型可解释性、表观遗传时钟、结构生物学和长读测序分析工具共同推动精准医学和机制理解。
跨学科前沿技术(物理/材料/气候)
3 篇
阿秒光源、二维聚合物和古气候重建展示了基础科学突破对生物医学成像、材料科学和环境健康研究的潜在支撑。

重点推荐论文(5 篇 · 查看全部 81 篇 →

📄 论文动态 本周论文涵盖AI/ML在医学影像、LLM临床应用、数字健康干预、基因组学、表观遗传学、结构生物学及基础物理/材料/气候等跨学科领域。其中AI与数字健康相关研究占主导,包括基于非门控CT的AI冠脉钙化评分预测免疫治疗患者心血管风险、LLM吸入器使用指导的准确性比较、医疗大数据文本分析系统、机器学习与营养/不宁腿综合征关联分析、AI临床系统采纳模型、儿童/成人肥胖数字健康干预综述等。基础研究方面涉及RNA剪接深度学习模型的可解释性、18阿秒光脉冲、二维聚合物光物理、古气候重建、表观遗传时钟对长寿干预的响应、TRPV2通道物种差异结构基础、CRISPR长读测序分析工具及LLM心理健康聊天机器人风险。整体呈现从技术验证向临床转化与安全性评估的过渡。 ### 🏭 行业动态 行业新闻聚焦FDA对AI医疗器械的监管框架与审批现状,强调AI/ML设备需满足安全性、有效性和透明度要求;同时AI医疗市场规模持续增长,Google DeepMind等科技巨头正探索AI辅助临床决策的可靠路径,行业趋势从单纯技术开发转向监管合规、临床整合与责任划分。 ### 📊 高频期刊 TOP10 | 期刊 | IF | 篇数 | |:---|---:|---:| | Nat Commun | 14.7 | 10 | | Digit Health | 23.8 | 7 | | | 7.5 | 5 | | Nat Med | 58.7 | 4 | | Nat Biomed Eng | 25.8 | 3 | | Nat Neurosci | 25.0 | 3 | | Elife | 6.4 | 3 | | Genome Biol | 10.1 | 2 | | Nat Genet | 31.7 | 2 | | Crit Care | 19.3 | 2 | ## 二、研究主题聚类 ### AI/ML在临床决策与影像分析(6篇)

趋势:** AI从影像判读、风险预测到LLM辅助患者教育,逐步嵌入临床工作流,但需解决准确性、安全性和临床验证问题。 ### 数字健康干预与行为改变(2篇) **趋势:** 针对肥胖等慢性病的数字健康干预强调理论驱动、多组件整合及家庭/社会支持,混合式干预效果优于纯数字方案。 ### 基因组学与生物医学基础机制(4篇) **趋势:** 深度学习模型可解释性、表观遗传时钟、结构生物学和长读测序分析工具共同推动精准医学和机制理解。 ### 跨学科前沿技术(物理/材料/气候)(3篇) **趋势:** 阿秒光源、二维聚合物和古气候重建展示了基础科学突破对生物医学成像、材料科学和环境健康研究的潜在支撑。 ## 三、重点推荐论文 ### Assessing the prognostic value of artificial intelligence for opportunistic prediction of coronary artery calcium score on routine non-gated computed tomography in patients treated with immune checkpoint inhibitors. **Digit Health · IF 23.8 · PubMed · DOI
推荐理由:首个在免疫检查点抑制剂患者中利用AI从常规非门控CT机会性预测冠脉钙化,并关联1年心梗风险,具有直接临床决策价值。

Large language model accuracy in inhaler technique counselling for asthma and COPD: A comparison of free and paid models across ten devices.

Digit Health · IF 23.8 · PubMed · DOI
推荐理由:系统比较付费与免费LLM在吸入器技术指导中的表现,发现付费模型关键错误减少24倍,安全警告覆盖率显著提高,对患者安全有重要启示。

Responsiveness of epigenetic aging biomarkers to longevity interventions in humans.

Nat Med · IF 58.7 · PubMed · DOI
推荐理由:发表于Nat Med,系统评估多种表观遗传时钟对长寿干预的响应性,发现药物和生活方式干预驱动作用最强,为衰老干预评估提供方法学基础。

Analysing long-read CRISPR experiments with CRISPRLungo.

Nat Biomed Eng · IF 25.8 · PubMed · DOI
推荐理由:新工具在长读CRISPR数据分析中优于现有方法,能识别此前遗漏的结构变异编辑,并在患者原代细胞中成功应用,推动基因编辑精准检测。

A scoping review on the mental health harms of LLM-based chatbots.

NPJ Digit Med · IF 12.4 · PubMed · DOI
推荐理由:系统梳理LLM聊天机器人在心理健康领域的潜在危害,包括幻觉、偏见、数据安全及对高风险病例的不当回应,对AI心理健康应用的安全监管至关重要。

重点行业动态(28 条 · 查看详情 →

The Current State Of FDA-Approved AI-Enabled Medical Devices

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The FDA has been approving AI-based devices for years but didn’t initially distinguish them as a unique category. A few years back, we at The Medical Futurist Institute took it upon ourselves to sift

FDA-Approved Artificial Intelligence and Machine Learning ...

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The FDA has approved AI/ML-enabled medical devices across many medical subspecialties (Figure 3a). An important insight from these data is that the majority, 531 (about 77%), of FDA-approved AI/ML-ena

Understanding FDA regulations for AI in SaMD | ICON

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Despite the increasing number of AI-enabled medical devices the FDA has yet to establish a unique regulatory pathway for these devices. Most approvals follow a 510(k) pathway according to their risk l

AI Medical Devices: FDA Approval Process | Censinet

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June 17, 2026 # AI Medical Devices: FDA Approval Process Concise guide to FDA pathways, required evidence, and postmarket controls for AI/ML medical devices (510(k), De Novo, PMA, PCCP). If your AI

AHA Letter to FDA on AI-enabled Medical Devices

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Per section 201(h) of the Food, Drug and Cosmetic Act, certain AI applications are considered medical devices if they are “intended for use in the diagnosis of disease or other conditions, or in the c

AI in Healthcare Market Size & Share, Industry Report.

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Artificial intelligence has emerged as a transformative healthcare technology, reshaping diagnosis, disease monitoring and treatment across multiple clinical applications, including the rapidly evolvi

Artificial intelligence (AI) in healthcare | Google Cloud

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# Artificial intelligence (AI) and the healthcare industry Artificial intelligence (AI) is transforming the healthcare industry, revolutionizing the way care is delivered, research is conducted, and

Artificial Intelligence (AI) in Healthcare & Medical Field

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How Has AI Impacted the Health Industry? AI for healthcare offers the ability to process and analyze vast amounts of medical data far beyond human capacity. The benefits of AI in healthcare include f

AI co-clinician: researching the path toward AI-augmented care — Google DeepMind

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At Google DeepMind, our journey in medical AI has evolved from mastering examination-style tests of medical knowledge with MedPaLM, to matching physician performance in text-based simulated medical co

Developing reliable AI tools for healthcare — Google DeepMind

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Today in Nature Medicine, we’ve published our joint paper with Google Research, which proposes CoDoC (Complementarity-driven Deferral-to-Clinical Workflow), an AI system that learns when to rely on pr

Google for Health - Advancing Cutting-edge AI Capabilities

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AlphaFold, an AI model from Google DeepMind, is revolutionizing our understanding of proteins, the building blocks of life. By rapidly predicting their complex 3D shapes, AlphaFold is supporting scien

Google Deepmind launches AI Co-Clinician initiative

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Demos: https://x.com/googledeepmind/status/2049867061279457761?s=46&t=vmJVGJkpKsC9IiIufpKR0w “At Google DeepMind, our journey in medical AI has evolved

DeepMind’s health team joins Google Health — Google DeepMind

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# DeepMind’s health team joins Google Health Over the last three years, DeepMind has built a team to tackle some of healthcare’s most complex problems—developing AI research and mobile tools that are

OpenAI for Healthcare Aims to Streamline Clinical Workflows, Reduce Administrative Burden

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Last Thursday, OpenAI introduced OpenAI for Healthcare, a suite of secure AI products designed to help health care organizations deliver more high-quality care, reduce administrative burden, and power

OpenAI for Healthcare: Complete 2026 Clinical Documentation Guide - SOAP Note Guides and Examples

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SOAPNoteAI Logo SOAPNoteAI.com SOAPNoteAI Logo SOAPNoteAI.com ## Product ## AI Scribe by Practice ## SOAP Note Guides ## SOAP Note Examples ## New for 2026 ## 2026 Resources ## Documentation

OpenAI’s Expanding Role in Healthcare: A Strategic Overview OpenAI is rapidly positioning itself as a major player in the healthcare industry, leveraging its advanced artificial intelligence models… | Trey R.

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significant aspect of OpenAI’s healthcare strategy involves partnering with leading healthcare institutions to explore AI’s potential in clinical and operational settings. Hospitals, academic medical

OpenAI unveils multiple healthcare-focused chatbots for providers and consumers | The Health Management Academy

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On Jan. 8, the company announced “OpenAI for Healthcare”, a suite of HIPAA-compliant AI tools with clinical and administrative use cases. The announcement featured two major products: ChatGPT for Hea

Solutions for healthcare | OpenAI

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OpenAI for healthcare # Enterprise AI built for safer, more efficient care Scale high-quality care with an AI platform that supports HIPAA compliance and provides clinical-grade intelligence across

AI in Clinical Trials: The Future of Drug Discovery

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AI in clinical trial systems harnesses natural language processing tools (an algorithm designed to allow computers to determine and interpret human language) that can learn patient data and clinical t

How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons

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AI techniques are making inroads into the field of drug discovery. As a result, a growing number of drugs and vaccines have been discovered using AI. However, questions remain about the success of the

How AI is taking over every step of drug discovery - C&EN

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Latshaw says the application of AI across the clinical trial process, from design to recruitment and analysis, can speed up the process by 50% compared with traditional methods. The FDA, which holds

The next generation of clinical trials with AI - Drug Discovery World (DDW)

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The FDA’s leadership in adopting technology to improve efficiency is encouraging for an industry where fewer than 10% of drug candidates that enter clinical trials ultimately secure regulatory approva

Revolutionizing clinical trials: the role of AI in accelerating medical breakthroughs

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In the past few years, AI has caught the attention and interest of people who work in medical technology. This is because a number of companies and big research labs have been working to make AI techn

Digital Health Funding: A Guide to Risk Management for Every Startup

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Recent digital health funding announcements indicate how much digital health startups have raised — investors are setting their sights on digital health players and early-stage startups with innovativ

Digital health deals are heating up

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Funding in digital health companies soared in the wake of the COVID-19 pandemic in 2021, but investment totals began to collapse the following year as inflation and other macroeconomic factors tempere

Startup Funding | Digital Health

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##### Bold Capital Partners Bold Capital Partners invests in early stage digital health related startups. BOLD companies build on the convergence of the physical, digital, virtual, and biological wor

Best Digital Health Startups in United States (2026) | Seedtable

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Seedtable tracks 304 funded digital health startups in United States, ranked by the Seedtable Score from real funding, stage and traction data. The 60 top-ranked digital health companies have raised $

Healthtech and Digital Health Investors & VC Firms

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| | DxAngels [Angel network](fund/DxAngels) | Flag of USA USA | $200k to $500k | 1. Idea or Patent 2. Prototype3. Early Revenue4. Scaling+2 | Never | We invest in digital health startups at pre-seed

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地区总量招募中已完成行业赞助
🌐 全球20832424487482010
🇨🇳 中国2128611521124
🇺🇸 美国616713203180997
趋势解读:AI 相关临床试验共 20832 项,中国 2128 项(10.2%);研发以学术/其他资助为主(17564),行业赞助 2010 项。数据截止 2026-08-04 18:49。

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详情说明:论文为 PubMed 全量(有日报或深度分析的周期自动合并逐篇详情);新闻为免费 RSS 采集;临床试验来自 ClinicalTrials.gov。