
Development of an AI-empowered device that utilizes multimodal data-visualization to aid in the diagnosis, and treatment, of OUDAward last edited on: 2/13/2024
Sponsored Program
SBIRAwarding Agency
NIH : NIDATotal Award Amount
$319,080Award Phase
1Solicitation Topic Code
279Principal Investigator
Francesca Arese LuciniCompany Information
Phase I
Contract Number: 1R44DA058431-01Start Date: 9/1/2023 Completed: 8/31/2024
Phase I year
2023Phase I Amount
$319,080Public Health Relevance Statement:
Narrative This project will create a clinically accessible device to be used as an aid to diagnosis for opioid-use disorder (OUD): assisting clinicians to identify OUD, to make intervention choices, and to better determine the timing of release from rehabilitation.
Project Terms:
Algorithms; Brain; Brain Nervous System; Encephalon; Classification; Systematics; Clinical Trials; Diagnosis; Electroencephalography; EEG; Electroencephalogram; Marketing; Patients; Phenotype; Reaction Time; Response RT; Response Time; psychomotor reaction time; Rehabilitation therapy; Medical Rehabilitation; Rehabilitation; rehab therapy; rehabilitative; rehabilitative therapy; Relapse; Sensitivity and Specificity; Computer software; Software; Testing; Measures; Clinical; Phase; Training; Measurement; tool; Disease Management; Disorder Management; programs; Scanning; Clinic; experience; Rehabilitation Outcome; rehabilitative outcome; empowerment; recidivism; Devices; social; Admission activity; Admission; response; Intervention; Intervention Strategies; interventional strategy; cognitive change; Address; Data; Intake; Cognitive; Monitor; follow-up; Active Follow-up; active followup; follow up; followed up; followup; Development; developmental; cost; cost effective; Population; user-friendly; addictive disorder; addiction; commercialization; multi-modality; multimodality; response to therapy; response to treatment; therapeutic response; therapy response; treatment response; heart rate variability; cognitive assessment; cognitive testing; data visualization; opiate use disorder; opioid use disorder; predictive outcomes; predictors of outcomes; outcome prediction; improved outcome; multi-modal data; multi-modal datasets; multimodal datasets; multimodal data; assess effectiveness; determine effectiveness; effectiveness assessment; evaluate effectiveness; examine effectiveness; effectiveness evaluation; artificial intelligence algorithm; AI algorithm
Phase II
Contract Number: ----------Start Date: 00/00/00 Completed: 00/00/00