Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The conducting airways before and after gender-affirming hormone therapy in transgender individuals.

Experimental physiology·2026
Same author

Liposomal bupivacaine after reduction mammaplasty: is it worth the shot? A single-blind, breast-split randomized clinical trial.

JPRAS open·2026
Same author

Cutaneous Injuries From an Nd:YAG Laser Directed-Energy Source Utilizing a Murine Model: A Pilot Study for Establishing a Laser Burn Murine Model.

Annals of plastic surgery·2026
Same author

Interest in Robotics Outpaces Access: Results from a Survey of Practicing Plastic Surgeons.

Journal of reconstructive microsurgery·2026
Same author

Safety Profile of Facial Cosmetic Surgery Under Local Anesthesia, with or without Sedation: A Systematic Review and Meta-analysis.

Aesthetic plastic surgery·2026
Same author

Global Disparities in Insurance Coverage of Post-Mastectomy Breast Reconstruction.

Annals of surgical oncology·2026

Related Experiment Video

Updated: May 16, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

918

Beyond the Posts: Analyzing Breast Implant Illness Discourse With Natural Language Processing and Deep Learning.

Arman J Fijany, Cole A Holan, Anthony E Bishay

    Aesthetic Surgery Journal
    |April 2, 2025
    PubMed
    Summary

    Patient concerns about Breast Implant Illness (BII) on social media are largely negative and fearful, correlating with increased breast implant removal rates. This highlights social media

    More Related Videos

    Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
    10:51

    Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System

    Published on: April 23, 2021

    4.1K
    Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
    09:53

    Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

    Published on: August 16, 2020

    6.8K

    Related Experiment Videos

    Last Updated: May 16, 2025

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    918
    Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
    10:51

    Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System

    Published on: April 23, 2021

    4.1K
    Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
    09:53

    Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

    Published on: August 16, 2020

    6.8K

    Area of Science:

    • Social media analysis
    • Natural language processing (NLP)
    • Patient-reported outcomes

    Background:

    • Breast Implant Illness (BII) is a collection of symptoms attributed to breast implants, with growing patient interest despite unproven causality.
    • Social media platforms significantly influence healthcare decisions, making patient perceptions of BII on these platforms critical.
    • Understanding online discourse is essential for healthcare providers and researchers addressing patient concerns.

    Purpose of the Study:

    • To analyze patient perceptions and emotional responses related to Breast Implant Illness (BII) discussed on X (formerly Twitter).
    • To utilize RoBERTa, a natural language processing model, to analyze a large dataset of social media posts.
    • To compare emotional trends and sentiment over time and correlate them with breast implant explantation data.

    Main Methods:

    • Analysis of 6,099 posts mentioning BII from 2014-2023 using NLP models for sentiment and emotion detection (fear, sadness, anger, disgust, neutral, surprise, joy).
    • Classification of posts by highest-scoring emotion and comparison of results between 2014-2018 and 2019-2023 periods.
    • Pearson correlation analysis was performed between social media data and published breast implant explantation and augmentation statistics.

    Main Results:

    • 75.4% of analyzed posts exhibited negative sentiment, with a notable peak in March 2019.
    • Neutral and fear were the dominant emotions (35.9% and 35.6% respectively), with fear scores increasing significantly from 2014-2018 to 2019-2023.
    • Strong positive correlations (r>0.70) were found between explantation rates and the volume of negative, neutral, and fear-based posts.

    Conclusions:

    • Online discourse on Breast Implant Illness (BII) peaked in 2019, characterized by predominantly negative sentiment and fear.
    • The significant correlation between fear-based social media content and increased breast implant explantation rates suggests a strong influence on patient decisions.
    • Social media plays a crucial role in shaping patient perceptions and choices regarding breast implant removal.