Intelligent System Architecture for Autonomous Care (ISAAC) Diagnosis

Unmanned systems and autonomous capabilities provide an avenue for improving enroute care in situations where medical evacuation assets are either not available or unable to reach the patient. A first step is to explore how intelligent algorithms can be used to supplement the current capabilities by improving the diagnosis, intervention, and monitoring of combat trauma care. Variability in the sensing technology available, environmental factors influencing the reliability of measurements, and lack of time and skills to synthesize this information can affect how data impacts treatment. The potential lack of knowledge and expertise of the on-the-site caregiver directly impacts whether important symptoms are seen, good medical decisions are made, and interventions are correctly executed. SoarTech proposes the Intelligent System Architecture for Autonomous Care (ISAAC), a software system to support medical diagnosis, intervention, and monitoring. Our ISAAC Diagnosis algorithms will support within physiological, medical imaging, and laboratory test data with an automated pipeline for processing raw data, identifying features, and mapping this information to symptoms. This information will be reasoned over by an intelligent cognitive system that uses an expert understanding of symptom-condition mappings along with a logical inference reasoner to formulate hypotheses, recommend additional tests and construct diagnoses.