Applying Machine Learning to Determine Popular Patient Questions About Mentoplasty on Social Media

Patel, Rushi; Tseng, Christopher C.; Choudhry, Hannaan S.; Lemdani, Mehdi S.; Talmor, Guy; Paskhover, Boris

doi:10.1007/s00266-022-02808-8

Cited by 5 publications

(2 citation statements)

References 44 publications

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“…Artificial intelligence has recently garnered widespread attention with the release of a publicly available NLP, ChatGPT. In the field of FPRS, several scoping and systematic reviews on artificial intelligence have been published in the last 18 months alone [1][2][3]40]. Machine learning, NLP, computer vision, deep learning, CNN, facial landmark software, GAN, and long short-term memory networks have been applied throughout all phases of care, as well as in research and educational settings.…”

Section: Discussionmentioning

confidence: 99%

“…Patel et al [40] used artificial intelligence to identify and generate a list of the 10 most asked pre and postoperative questions related to mentoplasty. Overall, 'eligibility for surgery' and 'surgical techniques and logistics' were the most common preoperative questions while postoperative questions were related to 'options to revise surgery' and 'symptoms after surgery' [40]. The tool identified potential areas of deficiency in patient counseling.…”

Section: Role Of Artificial Intelligence In Patient Counseling and In...mentioning

confidence: 99%

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Applications of artificial intelligence in facial plastic and reconstructive surgery: a systematic review

Souza,

Bhethanabotla,

Mohan

2024

Current Opinion in Otolaryngology &Amp; Head &Amp; Neck Surgery

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Purpose of review Arguably one of the most disruptive innovations in medicine of the past decade, artificial intelligence is dramatically changing how healthcare is practiced today. A systematic review of the most recent artificial intelligence advances in facial plastic surgery is presented for surgeons to stay abreast of the latest in our field. Recent findings Artificial intelligence applications developed for use in perioperative patient evaluation and management, education, and research in facial plastic surgery are highlighted. Selected themes include automated facial analysis with landmark detection, automated facial palsy grading and emotional assessment, generation of artificial facial profiles for testing and model training, automated postoperative patient communications, and improving ethnicity-sensitive facial morphometry norms. Inherent bias can exist in artificial intelligence models, and care must be taken to utilize algorithms trained with diverse datasets. Summary Artificial intelligence tools are helping clinicians provide more standardized, objective, and efficient care to their patients. Increasing surgeon awareness of available tools, and their widespread implementation into clinical workflows are the next frontier. Ethical considerations must also shape the adoption of any artificial intelligence functionality. As artificial intelligence applications become a fixture in medicine, surgeons must employ them effectively to stay at the vanguard of modern medicine.

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Section: Discussionmentioning

confidence: 99%

Section: Role Of Artificial Intelligence In Patient Counseling and In...mentioning

confidence: 99%