{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T16:55:10Z","timestamp":1791651310667,"version":"4.3.4"},"reference-count":45,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T00:00:00Z","timestamp":1762214400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Institutes of Health\/National Cancer Institute Cancer Center Support Grant","award":["P30 CA008748"],"award-info":[{"award-number":["P30 CA008748"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>The integration of artificial intelligence (AI) is rapidly transforming the field of breast reconstruction, with applications spanning surgical planning, complication prediction, patient-reported outcome assessment, esthetic evaluation, and patient education. A comprehensive narrative review was performed to evaluate the integration of AI technologies in breast reconstruction, encompassing preoperative planning, intraoperative use, and postoperative care. Emerging evidence highlights AI\u2019s growing utility across these domains. Machine learning algorithms can predict postoperative complications and patient-reported outcomes by leveraging clinical, surgical, and patient-specific factors. Neural networks provide objective assessments of breast esthetics following reconstruction, while large language models enhance patient education by guiding consultation questions and reinforcing in-clinic discussions with accessible medical information. As these tools continue to advance, their adoption in everyday practice is becoming increasingly relevant. Staying current with AI applications is essential for plastic surgeons, as AI is not only reshaping breast reconstruction today, but is also poised to become an integral component of routine clinical care.<\/jats:p>","DOI":"10.3390\/jcm14217821","type":"journal-article","created":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T12:13:08Z","timestamp":1762258388000},"page":"7821","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Artificial Intelligence in Breast Reconstruction: Enhancing Surgical Planning, Aesthetic Outcomes, and Patient-Centered Care"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5465-4230","authenticated-orcid":false,"given":"Brianna M.","family":"Peet","sequence":"first","affiliation":[{"name":"Department of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arianna","family":"Sidoti","sequence":"additional","affiliation":[{"name":"Department of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Robert J.","family":"Allen","sequence":"additional","affiliation":[{"name":"Department of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonas A.","family":"Nelson","sequence":"additional","affiliation":[{"name":"Department of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francis","family":"Graziano","sequence":"additional","affiliation":[{"name":"Department of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e3200","DOI":"10.1097\/GOX.0000000000003200","article-title":"Artificial Intelligence in Plastic Surgery: Current Applications, Future Directions, and Ethical Implications","volume":"8","author":"Jarvis","year":"2020","journal-title":"Plast. 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