Data-Driven Differential Diagnosis of Common Pulmonary Diseases in the ICU

Student Investigator: Zherui Xuan
IDIES Mentor: Stuart Ray (Health Sciences Informatics, SOM)

The goal of this project is to create an algorithm that will match a physician’s judgement in determining an ICU patient’s pulmonary differential diagnoses. The project will focus on ICU pulmonary patients and the very first stage of designing an AI driven CP: identification of differential diagnoses. During the summer, with the guidance of data scientists and physicians, I will research, create, and test such a computer algorithm focused on the assignment of pulmonary disease patients to five common pulmonary differential diagnoses (pneumothorax, bronchitis, COPD, pneumonia, lung cancer, and other) in the ICU by using vital signs (heart rate, blood pressure, respiratory rate, temperature, etc), common diagnostic labs (blood chemistry, hematology, urine analysis, microbiology tests, etc), and basic imaging reports (X-ray, CT scans, etc).

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