Objective: Autism Spectrum Disorder (ASD) is a complex neurological developmental disorder that could be diagnosed early usually before the age of 3 years and the diagnosis is the most important determining factor for the treatment of ASD. The aim of present work is to design and implement a Handheld Expert System (HES) based on Diagnostic and Statistical Manual of Mental Disorder, fifth edition (DSM-V) for the diagnosis and severity assessment of ASD. The hand-held device was trained by artificial neural network to correctly diagnosis ASD and identifies its severity level. Methods: The learning of HES for ASD diagnosis was performed by a back propagation neural network algorithm with data set created based on DSM-V. The ability of Artificial Intelligence (AI) based HES was measured in terms of epochs, training/testing data, and statistical stability on the basis of accuracy, losses, mean squared error, and execution time to validate the performance of the system. The HES was designed to consume less training/testing time with more efficient and accurate AI approach. The stability of HES was validated for the data set of 40 ASD and Typically Developed (TD) subjects (20 ASD and 20 TD). Results: The implementation of HES for diagnosis of 40 subjects (20 ASD and 20 TD) based on the proposed expert system has provided 100% accuracy in reference with DSM-V. The results were also validated by statistical analysis. Conclusion: Since AI based HES for diagnosis of ASD and determination of its severity provided accurate results in reference to DSM-V criteria, the possibility of the use of proposed HES for diagnosis of ASD is very high.

STUDY DESIGN: Prospective study. PURPOSE: To compare magnetic resonance imaging (MRI) findings with clinical profile and neurological status of the patient and to correlate the MRI findings with neurological recovery of the patients and predict the outcome. OVERVIEW OF LITERATURE: Previous studies have reported poor neurological recovery in patients with cord hemorrhage, as compared to cord edema in spine injury patients. High canal compromise, cord compression along with higher extent of cord injury also carries poor prognostic value. METHODS: Neurological status of patients was assessed at the time of admission and discharge in as accordance with the American Spine Injury Association (ASIA) impairment scale. Mean stay in hospital was 14.11+/-5.74 days. Neurological status at admission and neurological recovery at discharge was compared with various qualitative cord findings and quantitative parameters on MRI. In 27 patients, long-term follow-up was done at mean time of 285.9+/-43.94 days comparing same parameters. RESULTS: Cord edema and normal cord was associated with favorable neurological outcome. Cord contusion showed lesser neurological recovery, as compared to cord edema. Cord hemorrhage was associated with worst neurological status at admission and poor neurological recovery. Mean canal compromise (MCC), mean spinal cord compression (MSCC) and lesion length values were higher in patients presenting with ASIA A impairment scale injury and showed decreasing trends towards ASIA E impairment scale injury. Patients showing neurological recovery had lower mean MCC, MSCC, and lesion length, as compared to patients showing no neurological recovery (p<0.05). CONCLUSIONS: Cord hemorrhage, higher MCC, MSCC, and lesion length values have poor prognostic value in spine injury patients.
Asia ; Contusions ; Edema ; Follow-Up Studies ; Hemorrhage ; Humans ; Magnetic Resonance Imaging* ; Prospective Studies ; Spinal Cord Compression ; Spine*