− EDUCATION To develop a machine learning (ML)-based predictive model for assessing the risk of zero-dose children using…+ HEALTH Chronic kidney disease (CKD) presents a growing public health challenge in China, exacerbated by low patient…+ POLICY Digital transformation in pharmaceutical regulatory affairs is accelerating as global submissions grow in com…− HEALTH The objective of this study is to develop and validate a Picture Archiving and Communication System-integrate…− HEALTH Artificial intelligence (AI) is increasingly used in cerebral small vessel disease (CSVD) imaging, but the ex…− HEALTH Background Large language models (LLMs) are increasingly accessed by patients for gastrointestinal health inf…− HEALTH Artificial intelligence in ophthalmology encounters a continual challenge: Systems proficient in picture clas…− HEALTH The FDA received a malfunction report involving Inogen one g5 oxygen concentrator, made by Inogen, Inc.. Rece…

− EDUCATION To develop a machine learning (ML)-based predictive model for assessing the risk of zero-dose children using…+ HEALTH Chronic kidney disease (CKD) presents a growing public health challenge in China, exacerbated by low patient…+ POLICY Digital transformation in pharmaceutical regulatory affairs is accelerating as global submissions grow in com…− HEALTH The objective of this study is to develop and validate a Picture Archiving and Communication System-integrate…− HEALTH Artificial intelligence (AI) is increasingly used in cerebral small vessel disease (CSVD) imaging, but the ex…− HEALTH Background Large language models (LLMs) are increasingly accessed by patients for gastrointestinal health inf…− HEALTH Artificial intelligence in ophthalmology encounters a continual challenge: Systems proficient in picture clas…− HEALTH The FDA received a malfunction report involving Inogen one g5 oxygen concentrator, made by Inogen, Inc.. Rece…

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TypeAll Trace P Space G Space Monthly readingSectorAll Science Other Labor Business Sports Health Policy Education

Monthly reading

When the builders say slow down

The companies building the world's most powerful AI systems are beginning to say something unusual: they may not be ready for what comes next.