AIMC Topic: Mammaplasty

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Artificial intelligence prediction model for readmission after DIEP flap breast reconstruction based on NSQIP data.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Apr 20, 2025
BACKGROUND: Readmissions following deep inferior epigastric perforator (DIEP) flap breast reconstruction represent a significant healthcare burden, yet current risk prediction methods lack precision in identifying high-risk patients. We developed a m...
Female Aged Adult Middle Aged Machine Learning Databases, Factual Retrospective Studies Patient Readmission Mammaplasty Perforator Flap Epigastric Arteries Risk Assessment Postoperative Complications Operative Time Humans Artificial Intelligence
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Evaluating Google Gemini's AI generated responses to questions after breast reconstruction.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Apr 17, 2025
BACKGROUND: The purpose of this study was to evaluate Google Gemini's responses to common post-operative questions pertaining to breast reconstruction surgery.
Surveys and Questionnaires Mobile Applications Patient Education as Topic Comprehension Mammaplasty Humans Female
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Artificial Intelligence in Breast Reconstruction: A Narrative Review.

Medicina (Kaunas, Lithuania) Feb 28, 2025
Breast reconstruction following mastectomy or sectorectomy significantly impacts the quality of life and psychological well-being of breast cancer patients. Since its inception in the 1950s, artificial intelligence (AI) has gradually entered the medi...
Mammaplasty Female Breast Neoplasms Mastectomy Humans Artificial Intelligence
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Performance of Artificial Intelligence Chatbots in Answering Clinical Questions on Japanese Practical Guidelines for Implant-based Breast Reconstruction.

Aesthetic plastic surgery Nov 26, 2024
BACKGROUND: Artificial intelligence (AI) chatbots, including ChatGPT-4 (GPT-4) and Grok-1 (Grok), have been shown to be potentially useful in several medical fields, but have not been examined in plastic and aesthetic surgery. The aim of this study i...
East Asian People Japan Practice Guidelines as Topic Mammaplasty Breast Implantation Breast Implants Breast Neoplasms Surveys and Questionnaires Generative Artificial Intelligence Humans Artificial Intelligence Female
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Perforator Selection with Computed Tomography Angiography for Unilateral Breast Reconstruction: A Clinical Multicentre Analysis.

Medicina (Kaunas, Lithuania) Sep 14, 2024
: Despite CTAs being critical for preoperative planning in autologous breast reconstruction, experienced plastic surgeons may have differing preferences for which side of the abdomen to use for unilateral breast reconstruction. Large language models ...
Mammaplasty Computed Tomography Angiography Perforator Flap Female Middle Aged Australia Humans
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"Identifying complication risk factors in reduction mammaplasty: a single-center analysis of 1021 patients applying machine learning methods".

Updates in surgery Sep 7, 2024
Various surgical approaches and pedicles have been described to ensure safe and satisfactory results in reduction mammaplasty. Although different breasts require different techniques, complications are common. This study aims to assess the incidence ...
Female Risk Factors Adult Middle Aged Humans Machine Learning Retrospective Studies Surgical Flaps Mammaplasty Postoperative Complications Incidence Breast
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Implementation of a Machine Learning Approach Evaluating Risk Factors for Complications after Single-Stage Augmentation Mastopexy.

Aesthetic plastic surgery Jun 7, 2024
BACKGROUND: Single-stage mastopexy augmentation is a much-debated intervention due to its complexity and the associated relatively high complication rates. This study aimed to reevaluate the risk factors for these complications using a novel approach...
Breast Implants Mammaplasty Female Risk Factors Adult Postoperative Complications Breast Implantation Middle Aged Risk Assessment Humans Machine Learning Retrospective Studies
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Predicting Reduction Mammaplasty Total Resection Weight With Machine Learning.

Annals of plastic surgery Jun 4, 2024
BACKGROUND: Machine learning (ML) is a form of artificial intelligence that has been used to create better predictive models in medicine. Using ML algorithms, we sought to create a predictive model for breast resection weight based on anthropometric ...
Female Adult Middle Aged Breast Mammaplasty Body Mass Index Organ Size Machine Learning Algorithms Retrospective Studies Humans
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MRI-based Deep Learning Models for Preoperative Breast Volume and Density Assessment Assisting Breast Reconstruction.

Aesthetic plastic surgery May 28, 2024
BACKGROUND: The volume of the implant is the most critical element of breast reconstruction, so it is necessary to accurately assess the preoperative volume of the healthy and affected breasts and select the appropriate implant for placement. Accurat...
Adult Breast Neoplasms Middle Aged Organ Size Breast Deep Learning Magnetic Resonance Imaging Retrospective Studies Female Reproducibility of Results Humans Algorithms Breast Density Breast Implants Mammaplasty Preoperative Care
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The usefulness of artificial intelligence in breast reconstruction: a systematic review.

Breast cancer (Tokyo, Japan) Apr 15, 2024
BACKGROUND: Artificial Intelligence (AI) offers an approach to predictive modeling. The model learns to determine specific patterns of undesirable outcomes in a dataset. Therefore, a decision-making algorithm can be built based on these patterns to p...
Mammaplasty Humans Breast Neoplasms Postoperative Complications Patient Reported Outcome Measures Surgical Flaps Artificial Intelligence Machine Learning Female
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