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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? | healthcare technology | Scoop.it

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

 

nrip's insight:

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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Automated safety checklists prevent hospital-acquired infections, Stanford team finds

Automated safety checklists prevent hospital-acquired infections, Stanford team finds | healthcare technology | Scoop.it

Pilots, astronauts and workers in other high-risk industries follow rigorous safety checklists to help them avoid hazards. Checklists have shown potential to reduce risk in health care, too, but the challenge is figuring out how to incorporate them into physicians’ and nurses’ work flow.


A Stanford team has built a solution: an automated checklist that pulls data directly from patients’ electronic medical records and pushes alerts to caregivers. The checklist, and a dashboard-style interface they used to interact with it, caused a three-fold drop in the rates of a serious type of hospital-acquired infection, the team found. The work has just been published in Pediatrics.


From our press release about the study:

“Electronic medical records are data-rich and information-poor,” said Natalie Pageler, MD, the study’s lead author. Often, the data in electronic medical records is cumbersome for caregivers to use in real time, but the study showed a way to change that, said Pageler, who is a critical care medicine specialist at the hospital and a clinical associate professor of pediatrics. “Our new tool lets physicians focus on taking care of the patient while automating some of the background safety checks.”


Working in the pediatric intensive care unit at Lucile Packard Children’s Hospital Stanford, the researchers focused on bloodstream infections that occur via central lines, which are catheters inserted in major veins. The automated alerts were designed to help physicians and nurses follow an established set of best practices for caring for central lines. For example, alerts were generated when the dressing on a patient’s central line was due to be changed.


The drop in the rate of central line infections – from 2.6 to 0.7 infections per 1,000 days of central line use – not only protected patients from harm; it also saved money. The team estimated that the savings in the pediatric intensive care unit were about $260,000 per year.


Next, the researchers hope to adapt the automated checklists to other uses, such as helping to guide the recovery of patients who have received organ transplants.

- See more at: http://scopeblog.stanford.edu/2014/02/24/automated-safety-checklists-prevent-hospital-acquired-infections-stanford-team-finds/#sthash.g2pYygq4.dpuf


Justine Campagna's curator insight, July 17, 2014 7:57 AM

What a great way to improve health and safety within hospitals!

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Pokemon GO Within the Context of Family Health -  A Retrospective Study

Pokemon GO Within the Context of Family Health -  A Retrospective Study | healthcare technology | Scoop.it

Pokémon GO illuminated the potential for mobile phone gaming apps to engage users and promote health. However, much work is needed to fully understand the mechanisms through which digitally supported behavior change interventions operate, particularly for children and families.

 

Objective: The aims of this study were

(1) to explore the Pokémon GO user experience from a family perspective and

(2) to investigate Pokémon GO within the context of family health.

 

Methods: Between January and February 2017, congruent with one of the largest anticipated Pokémon GO updates Gen 2, participants were recruited from parks, word of mouth, and social media to complete a Web-based survey. Participants were surveyed about family characteristics, interest, and experiences playing Pokémon GO and healthy lifestyle beliefs. Using a revised Godin Leisure-Time Exercise Questionnaire, a retrospective pre-post design assessed changes in parent physical activity (PA) before and after playing Pokémon GO.

 

Pokémon GO transcended traditional understanding of digital health and uniquely reached across generations to engage users. Findings from this study highlight that, for a period of time, Pokémon GO fostered social and physical well-being for children and families through a multifaceted approach.

 

 

read the study at https://pediatrics.jmir.org/2018/2/e10679/

 

nrip's insight:

Mobile Devices, Apps and Gaming can combine to create positive habit forming experiences. These can be manifested to bring about not just greater well being, but also easier to manage care plans for many.

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