ZeptAI uses voice-based healthcare AI to capture patient symptoms, history, medications and converts them into clear, structured summaries that save doctors time and improve communication before consultation.
ZeptAI helps healthcare teams collect patient concerns, screening details, and history through natural conversation, then turns that information into structured clinical insight before the doctor even starts.
Product Summary
From natural conversation to structured clinical insight before the doctor even starts.
Patients describe their problem naturally through voice instead of filling rigid forms or typing long responses.
Symptoms, duration, history, and relevant context are captured before the doctor interaction begins.
ZeptAI converts the conversation into a clean clinical summary that is easier to review and act on.
Doctors can skip repetitive intake questions and start consultations with structured context already available.
Designed for telemedicine platforms, hospitals, clinics, and digital health products that need an intake layer.
Patients can start immediately through the web interface, reducing friction for direct use and faster enterprise rollout.
A voice-based patient intake workflow that moves from guided conversation to doctor-ready clinical context.
The patient opens ZeptAI on the web and begins a guided, human-like audio conversation.
The system gathers symptoms, duration, history, medications, and key pre-consultation details.
ZeptAI structures the conversation so patient concerns are captured clearly instead of remaining scattered.
A report is prepared with the patient problem, conversation summary, history, and relevant context.
On the doctor side, vitals, known history, and review notes can be added to enrich the final report.
Doctors spend less time on repetitive intake questions and more time on clinical decisions and care.
Compact, workflow-focused capabilities for healthcare intake, patient screening, and doctor-facing summaries.
Patients speak normally while ZeptAI guides the intake with focused follow-up questions.
Symptoms, duration, history, and context are organized clearly for clinical review.
Conversation output and review inputs come together in one concise summary and report.
Patients can access the working model directly on the web without downloading an app.
The product direction is informed by peer-reviewed research in healthcare AI and medical interpretability.
Healthcare products can embed ZeptAI as an intake and screening layer inside existing workflows.
ZeptAI uses the same intake engine for two delivery modes: a web-based patient intake experience and an API-first model for telemedicine, clinic, and hospital integration.
Guided audio interaction collects symptoms, history, and pre-consultation detail in a natural flow.
Conversation design, summary generation, and clinical structuring are shaped by ZeptAI's research direction.
API-first backend services support telemedicine products, clinic workflows, and healthcare integrations.
The patient-facing web flow and summary outputs stay accessible for direct use and integration-ready for partners.
ZeptAI is shaped by published healthcare AI research in conversational diagnosis and interpretable medical imaging. That research foundation informs how we design enterprise intake APIs, web-based patient conversations, and doctor-ready summaries that fit real clinical workflows.
2
Published Papers
Q1
Journal Tier
8.0
Max Impact Factor
96.27%
Reported Accuracy
PeerJ Computer Science · Impact Factor: 3.8
Hybrid conversational AI pipeline combining GPT-powered dialogue and deep learning classification for scalable mental health screening.
Engineering Applications of Artificial Intelligence · Impact Factor: 8.0
Explainable medical imaging research focused on interpretable deep learning for chest X-ray localization and trustworthy clinical AI deployment.
Journal impact factors shown are latest publicly reported values and may change with annual updates.
This live website demo simulates a guided patient intake conversation with voice capture, AI follow-up questions, and structured report generation for clinical review.
Start conversation to begin the live AI intake workflow.
Live conversational turn handling
Voice capture + structured reporting
ZeptAI Conversational Intake
Website demo · Voice + Chat + Report
ZeptAI Intake Assistant
Not connected
Patients can use ZeptAI through a web-based intake experience, while healthcare platforms can integrate the same intake and screening workflow through an API-first model.
Guided voice intake for patients before consultation.
Integration-ready intake and summary workflow for healthcare products.
The same ZeptAI intake workflow can power direct patient access on the web and embedded clinical intake for partner platforms.
Symptoms, history, screening context, and summary in one workflow.
Healthcare AI Insights
Explore practical articles on voice AI healthcare use cases, clinical screening, and ways care teams can reduce documentation overhead without sacrificing context.
How healthcare AI improves patient intake by collecting symptoms, history, and structured visit context before the clinician enters the room.
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ZeptAI Team
Learn how responsible healthcare AI is built using ethics, governance frameworks, and trust-driven system design for real clinical use.
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ZeptAI Leadership
How AI-generated clinical summaries help doctors, nurses, and healthcare teams save time, improve communication, and deliver better patient care.
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ZeptAI Editorial
Talk with us about healthcare AI for voice intake, telemedicine screening, symptom capture, and structured clinical summaries for your care team.
