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ND Lens

ND Lens provides an AI-powered platform that accelerates ASD and ADHD diagnostic assessments by automatically matching patient responses to DSM-5 and ICD-11 criteria. This reduces clinician report writing time, enabling faster diagnoses and improved patient care.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Long NHS waiting lists for Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) assessments result in significant delays for patients seeking diagnosis. This prolonged wait exacerbates inequalities in access to care and contributes to substantial avoidable economic impact.

Solution

ND Lens offers an AI-powered platform designed to expedite the diagnostic assessment process for ASD and ADHD. The system leverages advanced algorithms to match patient-reported responses against established DSM-5 and ICD-11 diagnostic criteria. This intelligent matching significantly reduces the time clinicians spend on report generation, allowing them to reallocate resources towards direct patient interaction. The platform provides a streamlined workflow through an intuitive clinician dashboard, enabling efficient assessment creation, progress tracking, and review of AI-generated draft reports. Furthermore, the patient-facing interface is designed for accessibility, supporting self-paced completion and voice interaction with automatic transcription.

Target Audience

The primary target audience includes healthcare professionals, such as psychiatrists and psychologists, involved in the diagnosis of ASD and ADHD, as well as healthcare organizations seeking to optimize their assessment workflows.

Features

  • AI engine for automated matching of patient responses to DSM-5 and ICD-11 diagnostic criteria.
  • Reduction of report writing time from an estimated 2 hours to 15 minutes per assessment.
  • Clinician dashboard for assessment management, real-time patient progress tracking, and AI-generated draft report access.
  • Patient interface with mobile-responsive design, accessibility features, and voice interaction with transcription capabilities.
  • Secure data handling and storage protocols.
This profile is AI-generated and may contain inaccuracies.