SMSNA Select

Fellowship programs endorsed by the SMSNA have been evaluated to ensure that they meet or exceed criteria established by the SMSNA for sexual medicine specialists. The SMSNA looks at institutional readiness, mentor and faculty qualifications, as well as program content and structure. Fellow feedback is reviewed annually, and programs must be re-endorsed every three years. The SMSNA provides curriculum and training to complement the fellowship programs, as well as opportunities for fellows to gain additional knowledge and experience through an association with the SMSNA.
 

The following North American fellowship programs in sexual medicine and sexual reproductive medicine have been endorsed by the SMSNA: 

Duke University Department of Urology

Program Director: Aaron C. Lentz, MD, FACS
Duke University Department of Urology

Raleigh, NC
Program Director: Aaron C. Lentz, MD, FACS — Prosthetic Urology, Male Sexual Health, and Reconstructive Surgery

Lenox Hill Hospital

Program Director: Bob Berookhim, MD, MBA and J. Francois Eid, MD
Lenox Hill Hospital

New York, NY
Program Director(s): Bob Berookhim, MD, MBA and J. Francois Eid, MD

Mayo Clinic

Program Director: Tobias S. Kohler, MD, MPH
Mayo Clinic

Rochester, MN
Program Director: Tobias S. Kohler, MD, MPH

McGill University

Program Director: Serge Carrier, MD, FRCS(C), MMgmt
McGill University

Montreal, Quebec - Canada
Program Director: Serge Carrier, MD, FRCS(C), MMgmt

Mount Sinai Hospitals - NYC

Program Director: Robert Valenzuela, MD, FACS and Rajveer Purohit, MD, MPH, FACS
Mount Sinai Hospitals - NYC

New York, NY
Program Director(s): Robert Valenzuela, MD, FACS and Rajveer Purohit, MD, MPH, FACS

Attention: Restrictions on use of SMSNA content in third party applications, including artificial intelligence technologies, such as large language models and generative AI.

You are prohibited from using or uploading content you accessed through this website into external applications, bots, software, or websites, including those using artificial intelligence technologies and infrastructure, including deep learning, machine learning and large language models and generative AI.

Subscribe for our Newsletter!

Image