基于智能体系统，为乳腺癌治疗提供个性化推荐，前沿AI医疗研究。
arXiv:2607.12051v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being explored for clinical decision support, but their …
基于纵向多视角影像的乳腺癌风险预测模型，已被MICCAI 2026接收，医学AI前沿。
arXiv:2607.11343v1 Announce Type: cross Abstract: Accurate breast cancer risk prediction from screening mammography is critical for enabling personali…
AI预测癌症TNM分期，健康医疗大模型的精准应用新突破。
arXiv:2607.03466v1 Announce Type: cross Abstract: This study aims to predict Tumor, Node, and Metastasis (TNM) stage labels independently, with the Ca…
一位注重健康的创业者在确诊癌症后，利用AI辅助诊断、治疗和康复，最终战胜病魔的真实故事，展现AI在医疗领域的潜力。
When confronted with cancer, Connor Christou fed everything tied tied to his regime — blood results, scan data, wearable output, journal entries — int…
OpenAI推理模型在儿童罕见病诊断中取得突破，18例未解病例获新诊断
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.
京东健康与北京友谊医院联手，打造消化系统专科大模型，直击胃肠镜早癌筛查痛点，AI医疗落地新突破。
IT之家 6 月 13 日消息，“京东健康黑板报”公众号 13 日（今天）发文宣布，京东健康与首都医科大学附属北京友谊医院（简称“北京友谊医院”）正式达成合作。双方将共同建设 消化系统专科大模型 ，重点应用于 胃肠镜早癌筛查、疾病诊断等临床场景 ，推动 AI 技术与消化专科诊疗的深度融合。 双方将在…
用Claude Fable 5 Ultracode模拟医生视角，通过症状推理进行AI医疗诊断，开源示例代码值得关注。
Article URL: https://github.com/joelparkerhenderson/ai-medical-diagnosis-examples/blob/main/doctor-perspective/claude-fable-5-ultracode/index.md Comme…
利用AI根据心电信号和患者解剖信息生成4D心脏动态影像，为精准诊断提供新工具。
arXiv:2602.22919v2 Announce Type: replace Abstract: Cardiac cine magnetic resonance imaging (MRI) is central to functional cardiac assessment, yet a f…
大模型引导进化算法优化医疗决策管线，突破传统AI医疗的可解释性与性能瓶颈
arXiv:2606.07342v1 Announce Type: new Abstract: Adapting large language models (LLMs) to clinical workflows often requires costly fine-tuning or manua…
医疗图像分割中，跨域自监督方法智能挑选代表性样本，显著降低人工标注成本。
arXiv:2606.04301v1 Announce Type: new Abstract: Acquiring labeled medical image data is resource-intensive and a challenge further exacerbated in cros…
用大语言模型分析结构化临床数据，预测冠心病风险，精准医疗新方向。
arXiv:2606.00031v1 Announce Type: cross Abstract: Coronary artery disease (CAD) remains one of the leading causes of death globally, highlighting the …
AI助力波士顿儿童医院破解40余种罕见病诊断难题，展现医疗大模型落地价值。
Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease case…
AI在肝纤维化分期中的最新进展：大规模真实世界数据集与基准，揭示当前技术边界。
arXiv:2605.25595v1 Announce Type: new Abstract: Despite years of methodological progress, how far AI has come in liver fibrosis staging has never been…
面向印地语的医学推理激励方案，探索大语言模型在低资源语言场景的深度应用
arXiv:2605.24635v1 Announce Type: new Abstract: Medical large language models hold promise for reducing healthcare disparities, yet Hindi remains seve…
交互式病变跟踪新方法，打破端到端自动化与人工修正的僵局，为肿瘤CT序列精准评估提供新思路。
arXiv:2605.23118v1 Announce Type: cross Abstract: Tracking tumor lesions across serial CT scans is essential for oncological response assessment. Exis…
超声心动图基础模型能否在真实临床场景中保持性能？CardioBench新基准系统评估实验室与临床数据间的泛化差距。
arXiv:2510.00520v2 Announce Type: replace Abstract: Foundation models are reshaping medical imaging, yet their application in echocardiography remains…
最新研究对比LLM与临床医生的门诊分诊表现，动态揭示AI在医疗决策中的潜力与局限。
arXiv:2503.08292v5 Announce Type: replace Abstract: Outpatient referral (OR) is a core clinical workflow that assigns patients to hospital departments…