Dr. Jose Salinas

This presentation will provide an overview of various needs and efforts to support current and future
medical requirements for the Department of Defense. The presentation will provide an overview of
current and future operation doctrine to support the treatment and movement of patients in the
battlefield. It will discuss multiple automation technologies for patient monitoring and management
including new sensor modalities, artificial intelligence for patient diagnostics, new display technologies,
and medical interoperability requirements for medical devices. The presentation will also cover the
history of the US Army Institute of Surgical Research and provide an overview of its mission to support
research and development for combat casualty care.

Biography:

Dr. Jose Salinas is the Science Lead for the Organ Support and Automation Technologies (OSAT) group
(CRT 3) at the US Army Institute of Surgical Research, Fort Sam Houston, TX and the Capability Area
Manager for the Medical Robotics and Autonomous Systems (MedRAS) program. Dr. Salinas manages a
group of over 50 staff members supporting research focused on development of new technologies for
automating the critical care environment and providing organ support in combat casualties during
prolonged care. In his research role, he is currently focusing on development of new clinical decision
support technologies, artificial intelligence, and automation solutions to improve outcomes of military
combat casualties through the use of cutting-edge engineering and information technologies. This
includes the development of products that provide users with new approaches to communicate and
automate trauma diagnoses and treatments that are normally performed through manual means.
Other projects include research and development efforts that use information technology concepts for
enhanced medical situational awareness in the deployed setting. Dr. Salinas also manages multiple
research efforts in advanced digital signal processing algorithms for enhanced diagnosis of combat
casualties including the use of advanced machine learning techniques for improved physiologic models
and prediction of trauma injuries. His current program supports research projects at the US Army
Telemedicine and Advanced Technology Research Center and the US Army Institute of Surgical Research
in addition to multiple extramural efforts with universities, government laboratories, and medical
devices manufacturers.