{"data":[{"deliveredAt":"2026-10-01T09:00:01.508721Z","eventId":"public_event_e6ba477269b5cb82db62","id":"f8f7c4dc0e12f618b79ba39f","locale":"zh-CN","media":{"alt":"AI-generated editorial illustration: Fine-Tuning NVIDIA Nemotron for Saudi Arabic Dialects, with a Path to Other Languages","kind":"generated","url":"https://ai4snews.wisdomeyes.cn/api/publication-media/public_media_5a7f84de053605cb623e"},"oneSentenceContribution":"这篇 NVIDIA 教程以 Cache-Aware FastConformer-RNNT 多语种流式 ASR 模型为基础，在 SADA 2022 的 Najdi 与 Hijazi 沙特方言数据上做最小化筛选（保留 103,559/125,490 条、133.7 小时、82.5%）、按 90% 沙特语音加 7% 英语与 3% 阿拉伯语 FLEURS 的加权回放混合、时长分桶批处理，并在两块 GPU 上训练 12,000 步约 4.5 小时，使 Najdi+Hijazi 测试集 WER 从 55.05% 降到 29.96%、CER 从 31.63% 降到 12.18%，全 SADA WER 从 58.84% 降到 35.61%，同时 FLEURS 英语 WER 从 11.04% 降到 10.42%、阿拉伯","publishedAt":"2026-10-01T05:00:00Z","readAdvice":{"label":"值得读方法","reason":"这是一篇带完整代码与数值对照的实操教程，价值集中在筛选规则、回放权重声明、分桶配置、解冻深度与解码取舍这些可复用的方法细节上；若只关心结论，摘要中的 WER/CER 变化已足够。","verdict":"read_methods"},"reading":{"label":"全文解读","scope":"fulltext","state":"complete"},"source":{"name":"NVIDIA Technical Blog","organization":"NVIDIA","relation":"supports","rights":"summary_and_link","role":"F1","url":"https://developer.nvidia.com/blog/fine-tuning-nvidia-nemotron-for-saudi-arabic-dialects-with-a-path-to-other-languages/"},"sourceCount":1,"sourcePublishedAt":"2026-10-01T05:00:00Z","title":"NVIDIA 用 SADA 与 FLEURS 微调 Nemotron 3.5 ASR，将沙特 Najdi 与 Hijazi 方言 WER 从 55.05% 降至 29.96%，英语同时小幅改善"},{"deliveredAt":"2026-10-01T11:35:51.937581Z","eventId":"public_event_95c5d3ee67000fca9fac","id":"f9ffc2ac76b94cff8e87b96e","locale":"zh-CN","media":{"alt":"Source-provided article image: Coronary artery calcium score-emerging role for opportunistic screening on thoracic CT and novel applications.","caption":"Coronary artery calcium (CAC) identified on contrast-enhanced and non-contrast CT in 3 patients. 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(C, D) Severe CAC in the left anterior descending coronary artery, left circumflex, and right coronary artery in a patient with bilateral pleural effusions secondary to cardiac failure.","figureLabel":"Figure 1","kind":"source_original","sourceName":"PubMed","sourceUrl":"https://europepmc.org/articles/PMC13623238/bin/tqag094f1.webp","url":"https://ai4snews.wisdomeyes.cn/api/publication-media/public_media_04afce6638a2def5f10e"},"oneSentenceContribution":"这篇综述汇总了在因其他临床指征（常规胸部CT、肺癌筛查CT、PET/SPECT衰减校正CT）而进行的胸部CT上机会性识别和量化冠脉钙化（CAC）的证据，指出CAC在胸部CT上的汇总患病率为52%，与全因死亡（汇总相对风险2.13）和主要不良心血管事件（汇总相对风险2.61）独立相关，并综述了AI/机器学习自动评分、影像组学、光子计数CT以及CAC作为多系统生物标志物等新应用，同时指出目前尚无评估该策略临床影响的随机试验结果。","publishedAt":"2026-10-01T00:00:00Z","readAdvice":{"label":"必读","reason":"这是一篇结构清晰的综述，把机会性CAC筛查的患病率与预后证据、随机研究结果、AI/机器学习自动量化进展以及光子计数CT等新技术整合在一起，并明确区分了已有证据与尚待随机试验验证的部分，适合希望快速掌握该领域现状与方向的读者。","verdict":"must_read"},"reading":{"label":"全文解读","scope":"fulltext","state":"complete"},"source":{"name":"British Journal of 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1.","kind":"source_original","sourceName":"PubMed","sourceUrl":"https://europepmc.org/articles/PMC13623221/bin/tqaf223f1.webp","url":"https://ai4snews.wisdomeyes.cn/api/publication-media/public_media_0c37db800d2e1fa0c005"},"oneSentenceContribution":"这篇综述系统梳理了心外膜脂肪组织（EAT）与心包脂肪组织（PAT）的解剖、生理与病理角色，比较了CT、MRI与超声在量化这两种脂肪库时的优势与局限，指出深度学习分割（如Dice系数可达0.82至0.98）提升了准确性与可重复性，并汇总了影像学证据中EAT与心血管结局关联存在分歧、以及他汀、GLP-1受体激动剂、SGLT2抑制剂和生活方式干预可降低EAT体积的结果。","publishedAt":"2026-10-01T00:00:00Z","readAdvice":{"label":"值得读方法","reason":"若关注EAT/PAT的影像量化方法、深度学习分割性能与标准化问题，本文的影像技术与分割章节及Table 1提供了可直接参考的模态比较、阈值与效应量；若只关心EAT与心血管结局的总体结论，摘要已足够。","verdict":"read_methods"},"reading":{"label":"全文解读","scope":"fulltext","state":"complete"},"source":{"name":"British Journal of Radiology","organization":"National Library of 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CI：0.14-0.71），非肥胖患者中为HR=0.68（95% CI：0.31-1.52），同时用药组急性疼痛评分更低、术后恶心呕吐更少（P<0.001）、慢性疼痛风险更低（aOR=0.42，95% C","publishedAt":"2026-10-01T00:00:00Z","readAdvice":{"label":"值得读方法","reason":"摘要已完整给出主要结局、效应量与交互作用结果，但本次读取范围不完整，缺少表格、基线特征细节、肥胖定义与混杂因素调整清单；若要把结论用于临床决策或研究设计，应重点阅读方法学部分与完整结果表。","verdict":"read_methods"},"reading":{"label":"基于部分正文","scope":"incomplete","state":"complete"},"source":{"name":"Pakistan Journal of Pharmaceutical Sciences","organization":"National Library of Medicine","relation":"supports","rights":"licensed_full_text","role":"D0","url":"https://doi.org/10.36721/pjps.2026.39.10.290.1"},"sourceCount":1,"sourcePublishedAt":"2026-10-01T00:00:00Z","title":"腹股沟疝修补术后围手术期塞来昔布联合地塞米松与一年复发率降低相关，且在肥胖患者中关联更强"},{"deliveredAt":"2026-09-30T23:47:45.190382Z","eventId":"public_event_33aabfbec1ddb69d309b","id":"f1b9333e8be4643e0baa1b60","locale":"zh-CN","media":{"alt":"Source-provided article image: Where WiFi Sensing Fails:A Reproducibility Study of CSI-IMU Substitution for Human Activity 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Information","organization":"OpenAlex","relation":"supports","rights":"licensed_full_text","role":"D0","url":"https://research.utwente.nl/en/publications/f0691e3b-3afe-4128-bd0a-bc9b5e5228ed"},"sourceCount":1,"sourcePublishedAt":"2026-10-01T00:00:00Z","title":"WiFi CSI 无法替代可穿戴 IMU：27 类活动识别中 WiFi 加权准确率仅 6-11%，IMU 达 73-80%"},{"deliveredAt":"2026-10-01T11:35:51.937581Z","eventId":"public_event_863617e055bec5990090","id":"eae4b5782788a7124cb66f84","locale":"zh-CN","media":{"alt":"Source-provided article image: Evaluation of AI-Generated Surgical Decision Aids for Pelvic Floor Disorders.","kind":"source_original","sourceName":"PubMed","sourceUrl":"https://www.ovid.com//images/og_image_white.webp","url":"https://ai4snews.wisdomeyes.cn/api/publication-media/public_media_2ecfffc88ef37494b1e0"},"oneSentenceContribution":"这项横断面研究由 6 名泌尿妇科医生设计 6 个比较两种常见泌尿妇科疾病治疗方案的问题并输入 ChatGPT 生成决策辅助工具，随后由患者和医生用患者教育材料评估工具评价易懂性、医生用改良 DISCERN 评价可靠性、用 5 点 Likert 量表评价准确性、用 Flesch-Kincaid 阅读易度评分评价可读性，结果显示所有工具的患者和医生易懂性均高，可靠性一般（平均 mDISCERN 26 分），2 个工具准确性低于 4 分（不利），整体所需阅读水平偏高。","publishedAt":"2026-10-01T00:00:00Z","readAdvice":{"label":"值得读方法","reason":"研究设计清晰、评价工具标准化，适合关注人工智能生成患者决策辅助工具评价框架的读者细读方法部分；若只关心结论，摘要已涵盖易懂性高、可靠性一般、部分准确性不足与可读性偏高这四个要点。","verdict":"read_methods"},"reading":{"label":"全文解读","scope":"fulltext","state":"complete"},"source":{"name":"Urogynecology","organization":"National Library of Medicine","relation":"supports","rights":"licensed_full_text","role":"D0","url":"https://doi.org/10.1097/spv.0000000000001856"},"sourceCount":1,"sourcePublishedAt":"2026-10-01T00:00:00Z","title":"ChatGPT 生成的盆腔器官脱垂手术决策辅助工具患者易懂性高，但约 30% 主题准确性不足且整体可读性偏高"},{"deliveredAt":"2026-10-01T11:35:51.937581Z","eventId":"public_event_ef5a10290bc563468f9b","id":"e8e8d5124f235da71af54bf5","locale":"zh-CN","media":{"alt":"Source-provided article image: Multicenter analysis of nuclear cataract population parameters and their clinical correlations based on AS-OCT.","kind":"source_original","sourceName":"PubMed","sourceUrl":"https://www.ovid.com//images/og_image_white.webp","url":"https://ai4snews.wisdomeyes.cn/api/publication-media/public_media_2ecfffc88ef37494b1e0"},"oneSentenceContribution":"这项双中心临床验证研究纳入泰国（n=81）与深圳（n=46）共127例不同严重程度的核性白内障患者，用AS-OCT成像并按LOCS III标准分级，开发自动机器学习模型提取核区标注并分析基于特征的量化指标，发现均值、方差、均方根、四分位距和百分位数等像素特征与核性白内障分级显著相关（P<.01），方差、标准差和中位数一致性高而峰度与偏度呈负相关，预测模型在深圳中心准确率0.81（F1 0.82）、泰国中心0.87（F1 0.83），支持核性白内障的三级严重程度分类及辅助诊断与手术规划。","publishedAt":"2026-10-01T00:00:00Z","readAdvice":{"label":"值得读方法","reason":"若关注AS-OCT图像特征如何与LOCS III分级对应、以及自动核区标注与分级模型的双中心验证设置，方法部分最值得细读；若只需了解结论，摘要已给出特征相关性方向与两中心准确率。","verdict":"read_methods"},"reading":{"label":"全文解读","scope":"fulltext","state":"complete"},"source":{"name":"Journal of Cataract & Refractive Surgery","organization":"National Library of 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的计量方法文献，未包含摘要、数据来源、检索式、样本量、分析结果或结论，因","publishedAt":"2026-10-01T00:00:00Z","readAdvice":{"label":"扫摘要即可","reason":"加载文本只有参考文献列表，没有摘要、数据、方法细节或结果；在获取正文之前，读者只能确认该研究的存在与知识基础，无法获得任何实质发现。","verdict":"abstract_enough"},"reading":{"label":"基于部分正文","scope":"incomplete","state":"complete"},"source":{"name":"DOAJ (DOAJ: Directory of Open Access Journals)","organization":"OpenAlex","relation":"supports","rights":"licensed_full_text","role":"D0","url":"https://doi.org/10.22070/rsci.2025.20901.1852"},"sourceCount":1,"sourcePublishedAt":"2026-10-01T00:00:00Z","title":"《Strategizing》全球研究趋势的科学计量学图谱：加载文本仅含参考文献列表，未见研究结果"},{"deliveredAt":"2026-10-01T11:30:50.239631Z","eventId":"public_event_a51ef229f71d040b2f21","id":"aaf8b8e91246ee9374b7b44a","locale":"zh-CN","media":{"alt":"Source-provided article image: Myeloid TLR2 signaling amplifies immunopathology in influenza-infected murine neonates.","caption":"IL-6 production in the supernatant of human neonatal cord blood mononuclear cells (n=4) and healthy adult PBMCs (n=3) following stimulation with (A) lipoteichoic acid at 2 μg/mL and 10 μg/mL or (B) PR8-IAV (MOI = 1.5). 2 experiments performed, data shown as Mean ± SEM. Toll-like receptor 2 (TLR2) surface expression on human monocytes from neonatal cord blood PBMCs and healthy adult PBMCs, following stimulation with (C) 2 μg/mL of LTA or (D) PR8-IAV (MOI = 1.5); values are presented as delta mean fluorescence intensities (MFIs) from unstimulated controls (n=5-13, 2-4 experiments performed, p<0.05*)","kind":"source_original","sourceName":"PubMed","sourceUrl":"https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3090/13261744/de62a05ab5e1/nihms-2175280-f0001.jpg","url":"https://ai4snews.wisdomeyes.cn/api/publication-media/public_media_b9a48dbc09600b9bb2c0"},"oneSentenceContribution":"该研究结合人脐带血单核细胞与新生小鼠流感模型，发现新生儿单核细胞在LTA或IAV刺激后持续高表达TLR2，而TLR2基因缺失、抗TLR2抗体阻断或髓系特异性TLR2缺失均可提高IAV感染新生小鼠的存活率（如TLR2−/−新生鼠存活61%对野生型25%，抗TLR2抗体组46%对7%），并伴随6天感染后中性粒细胞减少、髓系条件敲除鼠组织病理评分下降及IL-6、TNF-α、MCP-1、CXCL1、CXCL2等促炎因子和趋化因子在3至6天感染间不再升高，提示髓系TLR2信号通过放大肺部炎症加重新生儿对呼吸道病毒感染的易感性。","publishedAt":"2026-10-01T00:00:00Z","readAdvice":{"label":"必读","reason":"该文用人类样本与多种遗传和抗体工具把新生儿流感重症从“免疫不足”改写为“髓系TLR2驱动的免疫病理”，并给出可测试的干预靶点，对新生儿感染免疫与治疗开发读者价值高。","verdict":"must_read"},"reading":{"label":"全文解读","scope":"fulltext","state":"complete"},"source":{"name":"American Journal of Respiratory Cell and Molecular Biology","organization":"National Library of Medicine","relation":"supports","rights":"licensed_full_text","role":"D0","url":"https://doi.org/10.1093/ajrcmb/aanag050"},"sourceCount":1,"sourcePublishedAt":"2026-10-01T00:00:00Z","title":"缺失或阻断髓系TLR2可提高流感感染新生小鼠存活率，并减少中性粒细胞与肺部炎症"}],"pagination":{"hasNextPage":true,"page":1,"pageSize":20,"total":1362}}