David Ost is a Senior Professor at The University of Texas MD Anderson Cancer Center, specializing in thoracic oncology and respiratory medicine. His research focuses on cost-effective lung cancer diagnosis and staging, artificial intelligence applications for pulmonary nodule detection, and surgical process modeling of bronchoscopy workflow. Recent publications include studies on post-thoracentesis ultrasound versus chest radiography, race-neutral pulmonary function testing in operable lung cancer, and bronchoalveolar lavage markers for checkpoint inhibitor pneumonitis. His work integrates critical care, radiology, and biomedical engineering to advance minimally invasive thoracic diagnostics.
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