| A Fully Automatic Postoperative Appearance Prediction System for Blepharoptosis Surgery with Image-based Deep Learning17 (cross-sectional study) |
Sun et al. |
Ophthalmology Science
|
2022 |
A deep learning system was created to predict the postoperative appearance of blepharoptosis, achieving good objective and subjective results. It can also help patients better understand the expected changes, relieving anxiety. It is crucial to ensure that these AI models are validated in diverse populations, considering racial differences in eyelid anatomy. |
30 |
| An attempt to analyze facial photographs of patients with jaw deformity using artificial intelligence18 (cohort study) |
Kato |
Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology
|
2023 |
AI assessment for orthodontic surgery for mandibular deformities has had accurate results in the general population but was not consistent in the patients evaluated here. AI assessment is a Black Box, and its details are unknown. Future improvements require more patients, improved imaging methods, and assessment of loss of function. |
26 |
| Artificial intelligence for objectively measuring years regained after facial rejuvenation surgery19 (retrospective study) |
Elliott et al. |
American Journal of Otolaryngology
|
2023 |
AI networks are capable of accurately and objectively evaluating perceived age reduction after facelift surgery. However, results may not accurately reflect results for men and subjects of different racial backgrounds. |
28 |
| A comprehensive evaluation of ChatGPT consultation quality for augmentation mammoplasty: A comparative analysis between plastic surgeons and laypersons20 (cross-sectional study) |
Yun et al. |
International Journal of Medical Informatics |
2023 |
When hypothetical ChatGPT breast augmentation queries were scored using validated tools, plastic surgeons consistently scored lower than laypeople in most domains, and scores varied even more across question categories. This highlights the limitations of existing tools to directly assess the quality of healthcare consultations with AI. It is crucial to develop assessment tools that can evaluate the quality and appropriateness of this new form of online health information. |
31 |
| Estimating apparent age using artificial intelligence: Quantifying the effect of blepharoplasty21 (retrospective review of clinical files; observational study) |
Goodyear et al. |
Journal of Plastic, Reconstructive & Aesthetic Surgery
|
2023 |
The deep learning algorithm used in this study was accurate and reliable in estimating age from facial photos. This model identified patients as having a lower predicted age after blepharoplasty. This study highlights its potential to provide quantitative evidence on the rejuvenating effects of blepharoplasty. |
31 |
| Face comparison analysis of patients with orthognathic surgery treatment using cloud computing-based face recognition application programming interfaces22 (retrospective study) |
Akgiin et al. |
American Journal of Orthodontics and Dentofacial Orthopedics
|
2023 |
Although the similarity rates of pre- and postsurgical photographs were high in the study, it is concluded that automatic facial recognition had difficulties with the effects of routine orthognathic surgeries. Biased results from application programming interfaces can cause both patient victimization and misuse. This information is important, especially for specialists working in criminal units and forensic medicine specialists. |
29 |
| Plastic Surgery and Artificial Intelligence: How ChatGPT Improved Operation Note Accuracy, Time, and Education23 (prospective study) |
Abdelhady et al. |
Mayo Clinic Proceedings: Digital Health
|
2023 |
ChatGPT has demonstrated efficiency and accuracy in preparing operative notes, benefiting modern plastic surgeons. This tool allows you to save time, increases knowledge about surgical procedures, and generates personalized and safe operative notes in accordance with current guidelines. There are legal and ethical concerns related to the use of Al in healthcare, such as data privacy and the protection of patient information, but the authors considered that the current use of ChatGPT in this study is not in conflict with the GDPR. |
28 |
| Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age24 (retrospective longitudinal cohort study) |
Patcas et al. |
International Journal of Oral and Maxillofacial Surgery
|
2019 |
While clinicians can benefit from Al-based assessment in treatment planning, it will never replace the patient's own perceptions and expectations, which remain of primary importance. The clinicians' responsibility is to inform the patient honestly and realistically about the aesthetic result, so as not to raise illusory expectations. |
30 |