Bots “could be a simple, accessible and adequately sensitive tool for community-based testing,” researchers say.
Professor catches student cheating with ChatGPT: ‘I feel abject terror’
The evolving and adapting nature of ChatGPT, a k a GPT3, could make the program a useful tool in scouting warning signs moving forward, according to lead study author Felix Agbavor. “GPT3’s systemic approach to language analysis and production makes it a promising candidate for identifying the subtle speech characteristics that may predict the onset of dementia,” Agbavor said. “Training GPT-3 with a massive dataset of interviews — some of which are with Alzheimer’s patients — would provide it with the information it needs to extract speech patterns that could then be applied to identify markers in future patients.
Working in tandem with the National Institutes of Health, researchers had trained the AI with transcripts from a dataset in addition to speech recordings to test its ability to spot warnings of dementia. GPT was then retrained to become an Alzheimer’s detecting device — it proved more effective than two top language processing programs.
“We further show that text embedding outperforms the conventional acoustic feature-based approach and even performs competitively with fine-tuned models. These results, all together, suggest that GPT-3 based text embedding is a promising approach for [Alzheimer’s Disease] assessment and has the potential to improve early diagnosis of dementia.”
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