Memorial Hospital Research Laboratories
The Veronica Rotemberg Lab
The Dermatology Imaging Informatics Group is focused on developing, benchmarking, and validating artificial intelligence (AI) tools for dermatologic applications, especially melanoma detection. We are interested in model development, human-AI interaction, and prospective validation of image classification tools.
We also develop and host large imaging datasets for dermatology AI research in collaboration with the International Skin Imaging Collaboration (ISIC). Through that work we develop, propose, and test imaging standards for interoperability, metadata standards for AI development and for dermatology clinical applications.
We are delighted to work on these projects in collaboration with the dedicated physicians and scientists in the Dermatology Service at Memorial Sloan Kettering Cancer Center and Allan Halpern, MD, Chief, Dermatology Service.
Combalia M*, Codella N*, Rotemberg V*, Carrera C, Dusza S, Gutman D, Helba B, Kittler H, Kurtansky NR, Liopyris K, Marchetti MA, Podlipnik S, Puig S, Rinner C, Tschandl P, Weber J, Halpern A, Malvehy J. Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge. The Lancet Digital Health. 2022 May 1;4(5):e330–9.
Kentley J, Sun M, Dusza S, Halpern A, Rotemberg V “Accuracy of commercially available smartphone applications for the detection of melanoma” British Journal of Dermatology, In Press
Daneshjou R, Smith M, Sun M, Rotemberg V*, Zou J* “Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms,” In Press, JAMA Dermatology
Rotemberg V, Kurtansky N, Betz-Stablein B, Caffery L, Chousakos E, Codella N, Combalia M, Dusza S, Guitera P, Gutman D, Halpern A, Helba B, Kittler H, Kose K, Langer S, Lioprys K, Malvehy J, Musthaq S, Nanda J, Reiter O, Shih G, Stratigos A, Tschandl P, Weber J, Soyer HP. “A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context.” Scientific Data 8(1):34 (2021) doi: 10.1038/s41597-021-00815-z.
Veronica Rotemberg, MD, PhD
- Physician-scientist Veronica Rotemberg studies imaging standards and artificial intelligence (AI) for dermatology applications.
- MD, Duke University School of Medicine
- PhD, Duke University Department of Biomedical Engineering
- [email protected]
- Email Address
- Harry J Lloyd Charitable Trust award “Prospective Validation of an Open Source Artificial Intelligence Algorithm for Melanoma Diagnosis” (2021-2022)
- Michael Ferro Foundation Young Investigator Award, Melanoma Research Alliance (2019-2022)
- Mentor on: Numerous medical Student Awards for research fellows: Society of Pediatric Dermatology Medical Student Award, Melanoma Research Foundation
- WCM CTSC KL2 (2021-2023)
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Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.
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Veronica Rotemberg discloses the following relationships and financial interests:
Inhabit Brands, Inc.
Ownership / Equity Interests; Provision of Services (uncompensated)
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