University of California-San Francisco · Biomedical EngineeringWang Lab
Kang Wang · San Francisco, California
Research Focus
Dr. Kang Wang's lab at UCSF focuses on improving the early detection and monitoring of metastatic colorectal cancer through advanced imaging technologies. The lab is developing an artificial intelligence system designed to analyze multiple CT scans over time, which will aid radiologists in identifying subtle changes in the disease, streamline their reporting process, and enhance patient outcomes. By automating data extraction and improving the interpretation of CT images, the lab aims to ease the burden on healthcare professionals and improve the accuracy of cancer diagnoses.
Colorectal CancerAI in HealthcareCT ImagingMetastatic DiseaseRadiologyImage AnalysisData AutomationMachine LearningPatient OutcomesEarly Diagnosis
Research Aims
5AIM 01Develop an AI system for analyzing abdominal CT scans in colorectal cancer patients.
AIM 02Automate data extraction from radiology reports to improve AI training.
AIM 03Evaluate AI performance in real-world clinical settings.
AIM 04Enhance the sensitivity of detecting metastatic lesions over time.
AIM 05Reduce cognitive workload for radiologists in interpreting CT images.
Skills the Lab Values
CT scan analysisAI model developmentData extraction from reportsAnnotation-efficient training methodsImage segmentationStatistical analysisProspective study designReport generationLarge-scale database managementRadiology report interpretation
Output against the department
Publications246top 40% of dept.239th of 595
this lab
most publishedleast published
Citations3.6kbottom 29% of dept.424th of 595
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.