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Done AI Health

Done AI Health is an AI-powered Healthcare tool — AI ADHD diagnosis and treatment platform. Best for: Medical Research & Health Monitoring. Pricing: Freemium (GateOnAI Score: 53/100).

AI ADHD diagnosis and treatment platform

FreemiumVerifiedMedical ResearchHealth MonitoringMental Health

Provides an AI-driven assessment that screens for ADHD symptoms through a structured questionnaire and behavioral analytics. The platform maps responses to DSM‑5 criteria, generating a preliminary risk score that clinicians can review. It integrates with electronic health records to pull prior diagnoses and medication histories, reducing duplicate data entry. Users receive a personalized report outlining symptom patterns, severity tiers, and suggested next steps. The free tier allows up to three assessments per month, while paid plans unlock unlimited screenings and advanced analytics. Clinicians can prescribe evidence‑based interventions directly within the dashboard. The tool suggests medication options, behavioral therapy modules, and lifestyle adjustments tailored to the individual’s risk profile. Real‑time progress tracking lets patients log daily focus levels, sleep quality, and task completion, feeding data back to refine the risk score. Telehealth integration enables video consults without leaving the platform, and secure messaging supports follow‑up questions. The system complies with HIPAA and GDPR, encrypting all health data at rest and in transit. Compared with manual chart reviews, the AI reduces initial assessment time by half. The primary audience includes pediatricians, psychiatrists, and school health professionals who need rapid ADHD screening for children and adolescents. Parents use the self‑assessment mode to gather preliminary insights before seeking clinical evaluation. Academic researchers can export anonymized datasets for population studies under the paid subscription. Pricing starts with a free plan that covers basic assessments; premium tiers begin at $29 per month per provider, adding API access and custom reporting. Limitations include reliance on self‑reported data and the need for clinician oversight to confirm diagnoses.

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