IVVA: Integrated Visual Vitals Assistant

Overview

Atapir is transforming telemedicine by using AI-powered computer vision to measure vital signs without physical contact. The technology enables accurate, real-time tracking of heart rate, respiratory rate, and pain, with validation underway for blood pressure, pulse oximetry, and mood. By integrating this capability into existing telemedicine platforms, Atapir aims to make continuous remote monitoring accessible in everyday care, supporting both primary care and perioperative recovery.

Detailed Article here.

The Issue

Continuous vital-sign monitoring is largely confined to hospitals, yet early detection of changes in heart rate, respiratory rate, or blood pressure is crucial in many settings. In perioperative care, such changes may signal complications requiring timely intervention. In primary care, regular vital monitoring helps identify chronic conditions such as hypertension or arrhythmia earlier. And in rural or resource-limited areas, patients often lack access to reliable monitoring tools, creating barriers to follow-up and worsening outcomes. Existing telemedicine systems do not offer a validated, contactless solution for vital-sign monitoring.

Approach

Atapir’s approach integrates non-invasive vital-sign monitoring directly into telemedicine visits, turning any camera-enabled device into a clinical assessment tool. The system uses computer vision algorithms and Eulerian magnification of pulsatile signals in the skin to detect physiological changes and estimate key vital signs. This technology enables clinicians to assess patient stability in real time, improving safety, enabling earlier discharges, and extending hospital-level care into the home.

MTM Student Engagement

The MTM team will validate the clinical and market need for remote vital-sign monitoring through stakeholder interviews and competitive landscape analysis. They will then test Atapir’s algorithms under diverse real-world conditions: including variations in lighting, device type, and skin tone—to evaluate performance and reliability. Finally, the team will contribute to the design of a telemedicine-ready prototype and integration plan, ensuring the platform is clinically robust, scalable, and user-friendly for providers and patients alike.