Powered by secure, locally-deployed AI models for advanced speech recognition, speaker diarization, and multi-step clinical report generation. This system is designed to streamline DSM-5-TR compliant documentation for Autism Spectrum Disorder (ASD), providing tailored analytical support for both initial diagnostic evaluations and ongoing follow-up visits.
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System Management
Welcome back to ASD-scribe.
Create your physician profile. Requires admin approval.
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Set a temporary password for . They will be forced to change it on their next login.
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Cancel & LogoutSelect the objective of this session:
Click to upload .wav or .mp3
Please read the phrase below aloud to calibrate speaker identification before the visit:
Select a visit from Encounter History to view its report, or start a new recording.
Percentage of reports where each criterion was met
Enter Arabic dialect words and their English clinical translations (format: word: translation, one per line).
ASD-scribe is a local, AI-powered transcription and diagnostic mapping tool designed for bilingual (Arabic/English) clinical environments.
The goal is to simplify the clinical reporting process for autism spectrum disorder (ASD) by automating the most time-consuming parts of the diagnostic workflow.
Powered by AI models for speech recognition and automated speaker diarization, combined with multi-step Large Language Model (LLM) analysis. The system adheres to DSM-5-TR criteria for clinical documentation, with all data processing operating securely on local infrastructure and trusted local cloud environments
All data processing occurs locally and on secure, Saudi-based cloud servers
Ensure minimal background noise. Position the microphone equidistant between speakers.
.wav and .mp3 files. High-bitrate recommended.
Arabic and English. Automatic code-switching detection.
Manage trial enrollment, monitor recruitment progress, track physician completed visits, and upload consent documentation.
City
Download full clinician logs, elapsed times, edit distances, and criteria counts in a stats-ready CSV.
| Study ID | MRN | Full Name | Status | Consent Form | Assent Form | Scheduled Visit | Actions |
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| Patient Study ID | Full Name | Recruitment Status | Completed Visits | Last Visit Date |
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| Date & Time | Patient ID | Physician | Visit # | Block | Treatment | Audio Len | Visit Dur. | Status |
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