Progress
Ongoing development: Atapir has completed three clinical trials — A study in 30 volunteers testing the SpO2 algorithm; a 77 patient study testing the pain monitoring system; and a 130 patient study testing the pain, heart rate, respiratory rate, SpO2, and blood pressure algorithms. Initial results are promising. Results of our pain monitoring study were accepted for publication in the journal Anesthesiology.
Regulatory: Atapir submitted an FDA presubmission application in December for the version 1 system to monitor heart rate, respiratory rate, pain, and fall risk.
Intellectual Property: We continue build and protect our IP.
Atapir wins award: Atapir’s non-contact vital signs monitoring technology garnered significant attention at the recent American Society of Anesthesia (ASA) Annual Meeting in Philadelphia.
Articles Discussing AVD-M
1. Preliminary Development and Validation of Automated Nociception Recognition Using Computer Vision in Perioperative Patients
2. AI pain recognition system could help detect patients’ pain before, during and after surgery
3. ASA: Deep Learning Model Can Improve Pain Assessment
4. AI-powered tool that uses face biometrics to assess a patient’s experience of pain
5. An Artificial Intelligence Breakthrough: Revolutionizing Pain Detection in Surgery
6. AI Pain Recognition Tool Detects Pain Before, During and After Surgery
7. Artificial Intelligence Advancements in Pain Detection Transform Patient Care
8. AI Pain Recognition System Detects Patients’ Pain Before, During and After Surgery
9. AI-Powered Pain Recognition System Revolutionizes Patient Care
10. ASA: Deep Learning Model Can Improve Pain Assessment
11. The Potential of an AI-Based Pain Recognition System
12. AI Tool Detects Pain Throughout Surgery, Aiding Patient Care
13. Revolutionary AI-Based System Transforms Pain Assessment in Healthcare