Publication date: Mar 27, 2025
“In the future, large language model technologies may prove instrumental in reconsidering what we call autism today,” said senior author Danilo Bzdok, a scientist at The Neuro and Mila. The researchers suggest that focusing on the more predictive traits could speed up and improve the accuracy of diagnoses. “Such a data-driven revision of today’s brain diseases is a complement to what has historically been done by expert panels and human judgment alone. This lengthy process can delay access to essential supports. They highlight AI’s potential to refine the process.
| Concepts | Keywords |
|---|---|
| Autism | Autism |
| Canadian | Brain |
| Hospital | Canada |
| Socialization | Clinical |
| Communication | |
| Criteria | |
| Diagnosing | |
| Diagnosis | |
| Found | |
| Interests | |
| Large | |
| Mila | |
| Models | |
| Neuro | |
| Quebec |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | brain diseases |
| drug | DRUGBANK | Nonoxynol-9 |
| disease | MESH | Mental Disorders |
| drug | DRUGBANK | Gold |
| disease | MESH | Autism |
Original Article
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