AutMedAI, a new machine learning (ML) model, enhances early detection of Autism Spectrum Disorder (ASD) with minimal medical and background data. The recent breakthrough promises to enhance early diagnosis and intervention of ASD for better outcomes. The research conducted a retrospective analysis of the Simons Foundation Powering Autism Research for Knowledge (SPARK) database, version 8. The model was tested and validated on datasets from SPARK, version 10 and the Simons Simplex Collection (SSC) to ensure its accuracy and generalizability(1 ✔ ).

Quiz on Autism
Introduction Autism spectrum disorder is a complex genetic disorder that impairs social, behavioral, and communication functions in humans. Autistic people may act, communicate, interact, and learn differently than most other people. ASD …

‘AutMedAI beats traditional methods, achieving 89.5% accuracy in early autism diagnosis #Autism #AI #ASD #medindia ’ How AutMedAI Was Developed

The study was conducted in Sweden with the approval from Swedish Ethical Committee by following the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) reporting guidelines.

All patients were consented and the data collection was approved by the ethical committee for the SPARK and SSC projects involving 30,660 individuals (15,330 with ASD and 15,330 without ASD) for analysis from 31 university-affiliated research clinics and online in 26 US states. 28 basic medical screening and background information before 24 months of age was collected and utilized for the development of the model.

The model was developed using four different ML algorithms—logistic regression, decision tree, random forest, and eXtreme Gradient Boosting (XGBoost). Performance Metrics- Accuracy, AUROC, sensitivity, specificity, positive predictive value (PPV), and F1 score were used.

Simple Eye Test Helps Detect Autism in Children
Autism in children can be easily detected using a simple eye test. Pupillary light reflex could be the best way to screen autism spectrum disorder (ASD) in young children. AutMedAI’s Fabulous Results

Among the four algorithms, XGBoost model, later named as AutMedAI, showed high accuracy in diagnosing ASD and the model was tested on new datasets, giving good results across different age groups and both sexes.High performance was observed for AutMedAI model with an average […]

Machine Learning Model Revolutionizes Early Autism Detection