Syncron-E is an artificial intelligence-based software technology that analyzes pressure and flow waveforms in real-time to detect various types of patient-ventilator asynchrony.
T. S. Phan, R. Costa, W. M. Haddad, J. C. Mullis, L. T. Price, A. D. Cason, J. M. Bailey, B. Gholami “Validation of an Automated System for Detecting Ineffective Triggering Asynchronies During Mechanical Ventilation: A Retrospective Study,” J. Clin. Monit. Comput., vol. 34, pp. 1233-1237, 2020.
B. Gholami, T. S. Phan, W. M. Haddad, A. Cason, J. Mullis, L. Price, J. M. Bailey “Replicating Human Expertise of Mechanical Ventilation Waveform Analysis in Detecting Patient-Ventilator Cycling Asynchrony Using Machine Learning,” Comput. Biol. Med., vol. 97, pp. 137-144, 2018.
Optimal fluid resuscitation and vasoactive drug management is critical for the recovery of patients with severe sepsis or septic shock as well as surgical patients.
E-Fusion™ is a smart fluid and vasoactive drug management system, which with the capability to provide semi-automated (clinical decision support) and fully-automated (closed-loop) fluid and vasoactive drug management.
B. Gholami, W. M. Haddad, J. M. Bailey, B. Geist, Y. Ueyama, W. W. Muir, “A Pilot Study Evaluating Adaptive Closed-Loop Fluid Resuscitation During States of Absolute and Relative Hypovolemia in Dogs,” J. Vet. Emerg. Crit. Care, Vol. 28, No. 5, 2018.
AstroSight™ is a computer vision-based technology under development through a contract with NASA. It provides video analytics and non-invasive vital sign monitoring for astronauts during space exploration missions.
Drug diversion is an ongoing issue in healthcare systems. In addition to societal and healthcare-related issues, drug diversion results in over $450M annually losses to healthcare systems.
TraCS™ leverages recent advances in machine learning to provide seamless medication tracking and analytics for tracking controlled substances.