由Karolinska研究所开发的AI“AutMedAI”模型预测,2岁以下幼儿的自闭症准确率为80%。 AI model "AutMedAI" developed by Karolinska Institutet predicts autism in young children with 80% accuracy for those under 2 years old.

由Karolinska研究所开发的名为“AutMedAI”的AI模型可以预测2岁以下幼儿自闭症的精确度为80%。 An AI model called "AutMedAI" developed by Karolinska Institutet can predict autism in young children with 80% accuracy for those under 2 years old. 通过利用28个不同参数确定自闭症儿童,研究人员旨在改进和验证临床环境中的模式,最终纳入遗传信息。 By identifying children with autism using 28 different parameters, the researchers aim to improve and validate the model in clinical settings, eventually incorporating genetic information. 早期诊断和干预对于自闭症发育的儿童至关重要,AI模式可大大加强早期诊断和干预。 Early diagnosis and intervention are critical for children with autism's development, and the AI model could significantly enhance early diagnosis and interventions.