The screening is moving to a phone
the screening is moving to a phone: a system fine-tuned on 400 clinician-rated home videos now scores autism behavior on 99 unseen children, and a one-minute motor-imitation test separates autism from adhd at 70 percent. a systematic review still says ai detection is not ready for the clinic.
the video is becoming the first appointment.
Context
A Nature npj Digital Medicine paper from Oct 2025 describes an AI-based autism screening system using home videos. A separate Nottingham Trent paper evaluates a computerised assessment of motor imitation for identifying autism-specific difficulties not seen in ADHD or neurotypical development.
A systematic review and meta-analysis in Digital Health examines autism screening and diagnosis in children.
AI screening from home videos and a motor-imitation test that separates autism from ADHD match the papers in kind. The 400 clinician-rated videos, 99 unseen children, the one-minute test's 70 percent figure, and the review's conclusion that AI detection is not ready for the clinic were not seen in the sources read, so unsupported here, not refuted.
Related work
- Nature npj Digital Medicine: Automated AI-based identification of autism from home videos ↗Home video study.
- Nottingham Trent: Computerised assessment of motor imitation (CAMI) ↗Motor imitation test.
- Digital Health: Systematic review and meta-analysis of autism screening and diagnosis in children ↗Review.
Watch next
- Read the review's section on readiness for clinical use.
Sources
- Nature npj Digital Medicine, Oct 10, 2025preview-www.nature.com
- Nottingham Trent IRep, Jan 28, 2025irep.ntu.ac.uk
- PLOS Medicine, Nov 27, 2018journals.plos.org
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 2 October 2026 at 15:52 IST. Sources are the papers and datasets the note draws on.
View the original post ↗Embed this note
More notes
The air is now being asked to keep its own ledger
the air is now being asked to keep its own ledger: ecmwf’s aifs compo becomes the first ai model to forecast atmospheric composition globally every three hours, cleanair simulates 365 days of pm2.5 over china in ten seconds, and a unified framework maps six pollutants at one kilometer across the whole country. the air now files its own composition report.
read the note →The current is now being asked to draw its own map
the current is now being asked to draw its own map: china’s langya 2.0 predicts six ocean phenomena including internal waves and mesoscale eddies, a deep net called wenhai resolves eddies globally with air sea flux formulas built in, and scripps infers surface currents from the way temperature patterns deform in satellite images. the ocean now files its own circulation report.
read the note →The soil is now being asked to report its own carbon
the soil is now being asked to report its own carbon: a nix color sensor paired with generative data augmentation predicts soil organic carbon without a lab, random forest drives 74 percent of soil health mapping studies, and sentinel 2 tracks five year carbon change across france and italy from 922 samples. the dirt now files its own carbon account.
read the note →