{"id":321,"title":"In Silico Validation and Model-Selection Bias in an Artificial Intelligence-Identified Cardiac Biomarker Linking PCOS and Ischaemic Injury","title_zh":"人工智能识别连接PCOS与缺血性损伤的心脏生物标志物：计算机模拟验证与模型选择偏倚","url":"https://pubmed.ncbi.nlm.nih.gov/42969406","doi":"10.1093/qjmed/hcag311","pmid":"42969406","journal":"QJM","kind":"paper","lang":"en","published_at":"2026-11-02T00:00:00+00:00","fetched_at":"2026-11-08T03:44:05+00:00","authors":["Lorences-Noguera H","Cardenas-Duran E"],"primary_topic":"repro-endo","topics":[{"slug":"repro-endo","score":3.0,"hits":["pcos"]},{"slug":"ai-compute","score":3.0,"hits":["artificial intelligence"]}],"topic_score":3.0,"preference_score":0.0,"preference_labels":[],"llm_score":60.0,"final_score":60.0,"score_dims":{"novelty":62,"rigor":45,"impact":55,"relevance":55,"translation":40},"recommend_reason":"选题涉及PCOS与AI生物标志物方法学，模型选择偏倚对AI研究有警示价值；但缺少摘要与可核实结果，临床相关性偏边缘，适合浏览而非必读。","keywords":["PCOS","缺血性损伤","人工智能","生物标志物","模型选择偏倚","计算机模拟验证"],"selected":1,"story_id":183,"llm_provider":"deepseek","llm_model":"deepseek-flash","llm_effort":"low","source_key":"pubmed-endo-genetics","source_name":"PubMed · 生殖内分泌/遗传/保存","source_tier":1,"mention_count":1,"has_interpretation":false,"journal_key":null,"journal_tier":"unknown","journal_if":null,"is_mock":false,"summary_zh":"该文关注多囊卵巢综合征（PCOS）与缺血性损伤之间由人工智能识别的心脏生物标志物，重点讨论计算机模拟验证中的模型选择偏倚问题。原文未提供摘要，样本、数据来源、建模与验证细节及主要结论均无法核实，因此只能依据标题判断其方法学讨论属性。对生殖内分泌与AI计算生殖医学交叉领域有一定提示意义，但临床转化证据尚不明确。","summary":"","interpretation_basis":null,"fulltext_status":null,"interpretation":null,"fulltext":{"available":false,"status":null,"reason":"尚未抓取全文（未入选、分数未达阈值，或还没跑 fulltext 步骤）","pmcid":null,"license":null,"chars":0,"source":null,"fetched_at":null}}