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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology
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Can a smartphone be used to reliably detect early symptoms of autism spectrum disorder?

Can a smartphone be used to reliably detect early symptoms of autism spectrum disorder? | M-HEALTH By PHARMAGEEK | Scoop.it
From jamanetwork.com - May 16, 2021 11:17 AM

Atypical eye gaze is an early-emerging symptom of autism spectrum disorder (ASD) and holds promise for autism screening.

 

Current eye-tracking methods are expensive and require special equipment and calibration. There is a need for scalable, feasible methods for measuring eye gaze.

 

This case-control study examines whether a mobile app that displays strategically designed brief movies can elicit and quantify differences in eye-gaze patterns of toddlers with autism spectrum disorder (ASD) vs those with typical development.

 

In effect, using computational methods based on computer vision analysis, can a smartphone or tablet be used in real-world settings to reliably detect early symptoms of autism spectrum disorder? 

 

Findings

In this study, a mobile device application deployed on a smartphone or tablet and used during a pediatric visit detected distinctive eye-gaze patterns in toddlers with autism spectrum disorder compared with typically developing toddlers, which were characterized by reduced attention to social stimuli and deficits in coordinating gaze with speech sounds.

 

What this means

These methods may have potential for developing scalable autism screening tools, exportable to natural settings, and enabling data sets amenable to machine learning.

 

 

Conclusions and Relevance

The app reliably measured both known and new gaze biomarkers that distinguished toddlers with ASD vs typical development. These novel results may have potential for developing scalable autism screening tools, exportable to natural settings, and enabling data sets amenable to machine learning.

 

read the study at https://jamanetwork.com/journals/jamapediatrics/fullarticle/2779395

 


Lire l'article complet sur : jamanetwork.com


Via nrip
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nrip's curator insight, May 15, 2021 1:23 PM

Identifying autism in toddlers is helpful to starting care for it early. This study's results demonstrate that with an app based approach coupled with an algorithmic approach, it is certainly possible to get possibly affected children in for detailed clinical evaluations earlier and fairly cheaply.

 

Thus, doctors will be able to install an app on their smartphone/tablet, one that is capable of analyzing the visual gaze of a toddler in order to determine if they may be on the autism spectrum.

And, in time,  parents and family members will be able to download it onto their own smartphones/tablets  carry out the screening themselves.

kens's curator insight, September 10, 2022 7:07 PM
greco's curator insight, December 29, 2022 4:04 PM
une idee qui pourrait etre un bon outil pour aider au depistage, qui fonctionne comme une ia, mais a ne pas detrouner de son usage malgré la fréquences des tsa chez les jeunes et leur nombreuses conséquences sociales et developpementales. il s'agit d'une application qui se sert d'une base de donnée référence, qui compare les regards associes a des stimulas divers. 
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Rescooped by Lionel Reichardt / le Pharmageek from healthcare technology
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Should we diagnose rare diseases with smartphones?

Should we diagnose rare diseases with smartphones? | M-HEALTH By PHARMAGEEK | Scoop.it
From www.bbc.com - October 18, 2014 2:44 AM

An object in your pocket could help diagnose rare diseases like Ebola, finds David Robson – and one day it might even replace the doctor’s surgery too.


As fear of the Ebola virus escalates, Eric Topol thinks that we’re missing an important weapon. And you just need to reach into your pocket to find it. “Most communicable diseases can be diagnosed with a smartphone,” he says. “Rather than putting people into quarantine for three weeks – how about seeing if they harbour it in their blood?” A quicker response could also help prevent mistakes, such as the patient in Dallas who was sent home from hospital with a high fever, only to later die from the infection.


It’s a provocative claim, but Topol is not shy about calling for a revolution in the way we deal with Ebola – or any other health issue for that matter. A professor of genomics at the Scripps Research Institute in California, his last book heralded “the creative destruction of medicine” through new technology. Smartphones are already helping to do away with many of the least pleasant aspects of sickness – including the long hospital visits and agonising wait for treatment. An easier way to diagnose Ebola is just one example of these sweeping changes.


So far, however, few doctors have embraced these possibilities.  “The medical cocoon has not allowed a digital invasion,” says Topol, “while the rest of the world has already assimilated the digital revolution into its day-to-day life.” That’s not due to lack of demand: many patients are already monitoring their health through their phone, with apps that check your skin for cancer from a selfie, for example. These programs are not alwaysdesigned with the accuracy most doctors would require, however – and some fear that by missing a diagnosis and offering a false sense of security, they could cost lives. “The slower the healthcare system is in exploring these things, the more people are at risk by doing the exploration on their own,” says Estrin.


more at : http://www.bbc.com/future/story/20141017-the-ebola-detector-in-your-pocket



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nrip's curator insight, October 17, 2014 4:35 PM

My associates and I have built a mobile Ebola diagnosis and data collection prototype. If interested in exploring possible uses of the same for your organization, please drop me a message.
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