Departments, Centers, & Programs:
Surgical Oncology Associates
55 Fruit Street
Boston, MA 02114-2696
15 Parkman Street
Boston, MA 02114-3117
- MD, Dartmouth Medical School
- Residency, Mercy Hospital of Pittsburgh
- Fellowship, National Cancer Institute
- Fellowship, Nat'l Cancer Institute
American Board Certifications
- Surgery, American Board of Surgery
Accepted Insurance Plans
Note: This provider may accept more insurance plans than shown; please call the practice to find out if your plan is accepted.
Dr. Hughes is actively involved in research regarding:
- Genetics and risk factors for breast cancer
- Machine learning and artificial intelligence
- Breast density
- Diagnostic approaches to breast disease and breast cancer
- Treatment of breast cancer
- Clinical Decision Support
- Breast imaging, breast surgery, and cancer genetics in the age of COVID-19. Cancer. 2020 Oct 15;126(20):4466-4472. doi: 10.1002/cncr.33113. Epub 2020
- Yin K, ... Hughes KS. Legacy Genetic Testing Results for Cancer Susceptibility: How Common are Conflicting Classifications in a Large Variant Dataset from Multiple Practices? Ann Surg Oncol. 2020 Jul;27(7):2212-2220. doi: 10.1245/s10434-020-08492-9. Epub 2020 Apr 27.
- Performance of Breast Cancer Risk-Assessment Models in a Large Mammography Cohort. J Natl Cancer Inst. 2020 May 1;112(5):489-497. doi: 10.1093/jnci/djz177. PMID: 31556450; PMCID: PMC7225681.
- Penetrance of Colorectal Cancer Among Mismatch Repair Gene Mutation Carriers: A Meta-Analysis. JNCI Cancer Spectr. 2020 Apr 23;4(5)
- Natural language processing to facilitate breast cancer research and management. Breast J. 2020 Jan;26(1):92-99. doi: 10.1111/tbj.13718. Epub 2019 Dec 18.
- Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. JCO Clin Cancer Inform. 2019 Sep;3:1-9.
- Validation of a Semi-automated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance. JCO Clin Cancer Inform. 2019 Aug;3:1-9.
- A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline Mutations. J Genet Couns. 2018 Sep;27(5):1187-1199. doi: 10.1007/s10897-018-0238-4. Epub 2018 Mar 2.