Artificial intelligence detects suicide risk missed by standard assessments

Researchers at Touro University report that an Artificial intelligence tool using large language models detected signals of perceived suicide risk that standard multiple-choice assessments missed. The study applied Claude 3.5 Sonnet to audio interview responses and compared model outputs with participants’ self-rated likelihood of attempting suicide.