Jonathan M. Bekisz

About

Jonathan M. Bekisz, MD, is a Clinical Assistant Professor in the Hansjorg Wyss Department of Plastic Surgery at NYU Grossman School of Medicine. He specializes in Plastic Surgery, Hand & Wrist Surgery, Hand Plastic Surgery, and Orthoplastic Surgery, treating both adults and children. Dr. Bekisz completed his MD at New York University in 2018 and is currently undertaking a fellowship in Orthopaedic Hand Surgery at Mass General Brigham/Massachusetts General Hospital, expected in 2025. His professional profile indicates a focus on surgical expertise in hand and plastic surgery, contributing to the academic and clinical missions of NYU Langone Health.

Research topics

• Medicine
• Surgery
• Biomedical engineering
• Dentistry
• Orthodontics

Selected publications

• Do We Need Support in Prepectoral Breast Reconstruction? Comparing Outcomes with and without ADM

  Plastic & Reconstructive Surgery Global Open · 2021-08-01 · 40 citations

  articleOpen access

  Background: The majority of two-stage prepectoral breast reconstruction has been described utilizing acellular dermal matrix (ADM). Although reports of prepectoral breast reconstruction without ADM exist, there is a paucity of comparative studies. Methods: A single-institution retrospective review was performed of consecutive patients undergoing immediate prepectoral two-stage breast reconstruction with tissue expanders from 2017 to 2019. Short-term reconstructive and aesthetic complications wer…

  PublisherDOI

• Aesthetic Characteristics of the Ideal Female Breast

  Plastic & Reconstructive Surgery Global Open · 2023-01-01 · 23 citations

  articleOpen access1st authorCorresponding

  Background: The female breast is a subject of significant focus within plastic surgery. Little work to date has examined public perceptions of attractiveness with respect to breast anatomy and morphology. This study provides a comprehensive assessment of anatomic and aesthetic breast characteristics valued by the general population. Methods: A single-institution retrospective review was conducted of patients presenting for aesthetic or reconstructive breast surgery between 2009 and 2019. A cohor…

  PublisherDOI

• Catch-22: Acellular Dermal Matrix and U.S. Food and Drug Administration Premarket Approval—How Can We Construct Studies?

  Plastic & Reconstructive Surgery · 2022-09-26 · 15 citations

  article

  Summary: As a biologic product derived from human tissue, acellular dermal matrices did not require premarket approval for their initial use as a soft-tissue support product. Since their first use in breast surgery, acellular dermal matrices have allowed for numerous advances in breast reconstruction. They quickly gained popularity in breast surgery and are used frequently in various applications. During an investigation into potential factors leading to breast implant–associated anaplastic larg…

  PublisherDOI

• Prepectoral versus Subpectoral Breast Reconstruction after Nipple-sparing Mastectomy: A Systematic Review and Meta-Analysis

  Plastic & Reconstructive Surgery Global Open · 2024-05-01 · 14 citations

  reviewOpen access

  Background: Implant-based breast reconstruction after nipple-sparing mastectomy (NSM) presents unique benefits and challenges. The literature has compared outcomes among total submuscular (TSM), dual-plane (DP), and prepectoral (PP) planes; however, a dedicated meta-analysis relevant to NSM is lacking. Methods: We conducted a systematic review of studies on immediate breast reconstruction after NSM using TSM, DP, or PP prosthesis placement in PubMed, Embase, and Cochrane databases. In total, 131…

  PublisherDOI

• Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application

  Plastic & Reconstructive Surgery Global Open · 2024-02-01 · 14 citations

  articleOpen accessCorresponding

  Background: Given the dialogistic properties of ChatGPT, we hypothesized that this artificial intelligence (AI) function can be used as a self-service tool where clinical questions can be directly answered by AI. Our objective was to assess the content, accuracy, and accessibility of AI-generated content regarding common perioperative questions for reduction mammaplasty. Methods: ChatGPT (OpenAI, February Version, San Francisco, Calif.) was used to query 20 common patient concerns that arise in…

  PublisherDOI

Frequent coauthors

• Roberto L. Flores

  Khalifa University of Science and Technology

  69 shared

• Nolan S. Karp

  NYU Langone Health

  68 shared

• Mihye Choi

  66 shared

• Ara A. Salibian

  University of California, Davis

  58 shared

• Christopher D. Lopez

  Johns Hopkins Medicine

  47 shared

• Carter J. Boyd

  NYU Langone Health

  45 shared

• Paulo G. Coelho

  University of Miami

  45 shared

• Lukasz Witek

  New York University

  43 shared

Education

• MD

  New York University School of Medicine

• BA, Biology

  University of Pennsylvania

  2013

Similar researchers at New York University

• Eduardo D. Rodriguezh-44
• Christina Y. Ahnh-31
• Jonathan L. Bassh-21