A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism
P Washington, DP Wall - Annual review of biomedical data …, 2023 - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …
children. Like many neurological disorder phenotypes, the diagnostic features are …
[HTML][HTML] Classifying autism from crowdsourced semistructured speech recordings: machine learning model comparison study
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that results
in altered behavior, social development, and communication patterns. In recent years …
in altered behavior, social development, and communication patterns. In recent years …
[HTML][HTML] Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
[HTML][HTML] Improved digital therapy for developmental pediatrics using domain-specific artificial intelligence: machine learning study
P Washington, H Kalantarian, J Kent… - JMIR pediatrics and …, 2022 - pediatrics.jmir.org
Background Automated emotion classification could aid those who struggle to recognize
emotions, including children with developmental behavioral conditions such as autism …
emotions, including children with developmental behavioral conditions such as autism …
Activity recognition with moving cameras and few training examples: applications for detection of autism-related headbanging
Activity recognition computer vision algorithms can be used to detect the presence of autism-
related behaviors, including what are termed “restricted and repetitive behaviors”, or …
related behaviors, including what are termed “restricted and repetitive behaviors”, or …
[HTML][HTML] The classification of abnormal hand movement to aid in autism detection: Machine learning study
A Lakkapragada, A Kline, OC Mutlu… - JMIR Biomedical …, 2022 - biomedeng.jmir.org
Background A formal autism diagnosis can be an inefficient and lengthy process. Families
may wait several months or longer before receiving a diagnosis for their child despite …
may wait several months or longer before receiving a diagnosis for their child despite …
Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection
Standard medical diagnosis of mental health conditions requires licensed experts who are
increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a …
increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a …
[HTML][HTML] Training and profiling a pediatric facial expression classifier for children on mobile devices: machine learning study
Background Implementing automated facial expression recognition on mobile devices could
provide an accessible diagnostic and therapeutic tool for those who struggle to recognize …
provide an accessible diagnostic and therapeutic tool for those who struggle to recognize …
[HTML][HTML] Identification of social engagement indicators associated with autism spectrum disorder using a game-based mobile app: comparative study of gaze fixation …
Background Autism spectrum disorder (ASD) is a widespread neurodevelopmental
condition with a range of potential causes and symptoms. Standard diagnostic mechanisms …
condition with a range of potential causes and symptoms. Standard diagnostic mechanisms …