生成的人工智能与人类研究人员在利用怀孕数据预测早产时相匹配,将分析时间从几个月缩短到数小时。 Generative AI matched human researchers in predicting preterm birth using pregnancy data, slashing analysis time from months to hours.

在利用1 000多名妇女提供的怀孕数据预测早产方面,生成的人工智能与人类研究团队相匹配或超过人类研究团队,在数小时而不是数月内完成复杂分析。 Generative AI has matched or surpassed human research teams in predicting preterm birth using pregnancy data from over 1,000 women, completing complex analyses in hours instead of months. 在对微生物和健康数据进行的试验中,8个人工智能聊天机中有4个生成了可靠的模型,人的监督极少,加速了过去历时数年的研究。 Tested on microbiome and health data, four of eight AI chatbots generated reliable models with minimal human oversight, accelerating research that previously took years. 调查结果是评估生殖健康方面大赦国际的更广泛努力的一部分。 调查结果表明,人工智能可大大缩短从数据收集到科学洞察的时间,尽管人类监测对于防止产生误导性结果仍然至关重要。 The findings, part of a broader effort to assess AI in reproductive health, suggest generative AI could significantly shorten the time from data collection to scientific insight, though human monitoring remains essential to prevent misleading results.