Intelligent System Architecture for Autonomous Care (ISAAC) Diagnosis Ph II

Unmanned systems and autonomous capabilities provide an avenue for improving enroute care in situations where medical evacuation assets are 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 combat trauma to support prolonged field care. Variability in the sensing technology available, and lack of time and skills to synthesize this information can affect how data impacts diagnosis. The potential lack of knowledge and expertise of the on-the-site caregiver directly impacts whether important symptoms are seen, and the right diagnosis is made. SoarTech proposes the Intelligent System Architecture for Autonomous Care (ISAAC), a software system to support medical diagnosis. ISAAC is an intelligent system that uses the benefits of a robust cognitive architecture and logical inference to support diagnosis of battlefield trauma. The ISAAC system uses an expert understanding of symptom-condition mappings along with a logical inference reasoner to formulate hypotheses, recommend additional tests and construct diagnoses. As these tests are run, interventions are performed, and new symptoms are detected, the ISAAC system dynamically updates the hypotheses and inferred events to provide an up to date diagnosis of the patient’s condition.