New York University · Biomedical EngineeringBreast Imaging and AI Innovation Lab
Yiqiu Shen · New York, New York
Research Focus
Dr. Yiqiu Shen's lab focuses on improving breast cancer screening through advanced technology. They are developing an artificial intelligence system to enhance the accuracy and efficiency of ultrasound screenings for women with dense breasts. By analyzing large datasets of mammographic and ultrasound images, the lab aims to personalize who requires additional screening, ultimately reducing unnecessary procedures and improving patient care.
breast cancerartificial intelligenceultrasound screeningdeep learningmammographycost-effectivenessdiagnostic accuracypersonalized medicinehealthcare resource allocationimage analysis
Research Aims
5AIM 01Build a multi-modal deep neural network to integrate imaging data for breast cancer detection.
AIM 02Create an Ultrasound Benefit Predictor to assess the need for supplemental ultrasound.
AIM 03Evaluate the impact of the AI system on radiologists' performance and patient outcomes.
AIM 04Reduce unnecessary diagnostic procedures through effective screening guidelines.
AIM 05Enhance healthcare resource allocation in breast cancer diagnostics.
Skills the Lab Values
deep learningdata analysismachine learningimage processingretrospective studiesstatistical modelingPython programmingclinical trial designmedical imagingdata management
Output against the department
Publications58bottom 7% of dept.555th of 595
this lab
most publishedleast published
Citations3.6kbottom 28% of dept.429th 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.