University of Pennsylvania · Mathematics & StatisticsAI in Healthcare Solutions Lab
Qi Long · Philadelphia, Pennsylvania
Research Focus
Dr. Qi Long's lab at the University of Pennsylvania focuses on developing artificial intelligence systems that can provide trustworthy and explainable support for clinical decision-making in healthcare. The primary goal is to improve treatment selection for patients with conditions like non-small cell lung cancer and sepsis by creating models that integrate complex medical data with clinician insights. This innovative research seeks to empower physicians with actionable and reliable explanations for AI-driven recommendations, enhancing both patient care and trust in technology.
Artificial IntelligenceNeurosymbolic AIClinical Decision SupportElectronic Health RecordsExplainable AITreatment SelectionData IntegrationHealthcare Technology
Research Aims
3AIM 01Develop explainable neurosymbolic AI architectures for treatment selection.
AIM 02Integrate multi-modal clinical data into AI models.
AIM 03Create an open-access software platform for explainable AI in clinical settings.
Skills the Lab Values
Programming in PythonAlgorithm DevelopmentData AnalysisMachine LearningStatistical ModelingSoftware DevelopmentMulti-modal Data IntegrationClinical Data AnalysisEvaluation Methods
Output against the department
Publications395top 23% of dept.30th of 131
this lab
most publishedleast published
Citations6.3kbottom 43% of dept.75th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.