Download PDF
Editorial  |  Open Access  |  8 Aug 2023

Artificial intelligence for equity

Views: 280 |  Downloads: 145 |  Cited:  0
Art Int Surg 2023;3:160-2.
10.20517/ais.2023.22 |  © The Author(s) 2023.
Author Information
Article Notes
Cite This Article

In this Special Issue, several relevant topics concerning the perceived obstacles faced by female surgeons in pursuing a surgical career have been addressed, with a particular focus on the role of technology and AI as new tools to reduce gender disparities. Given that the applications of AI solutions to address gender biases in healthcare is a relatively recent development, there are not many papers available in the literature. Yet, the authors have made great efforts to identify potential applications of AI in eliminating gender-based discrimination in surgery, an area that has already been extensively investigated.

As reported by Dr. Capelli and colleagues in “Women surgeons fighting for work-life balance: how technology might help close the gender gap”[1], flexible work hours, implementation of childcare facilities, encouragement of paternity leave for surgeons, and enforcement of mentorship for female surgeons are among the possible solutions to overcome gender stereotypes in surgery that still negatively affect surgeons at all career levels.

In “The potential of artificial intelligence as an equalizer of gender disparity in surgical training and education”[2], Dr. Mari et al. demonstrate how technology can help overcome the barriers that women face during surgical education and training. They highlight that AI-driven selection processes or evaluations of surgical performance may assist in equalizing opportunities for surgeons regardless of gender. Technologies such as virtual and augmented reality, remote mentoring, and simulators have the potential to support female surgeons and positively influence women’s decisions to pursue a surgical career.

In the last paper, “Mentorship and early career mentorship”[3], Dr. Ferrari et al. emphasize the lack of available mentors, particularly same-sex mentors for young female surgeons, as a detriment for choosing a surgical career. The importance of mentorship for personal and professional development at different career stages is highlighted. The authors discuss how technology now enables long-distance mentorship, thus overcoming geographical barriers and enhancing the surgical and professional performance of telementored surgeons who may not have the opportunity to attend in-person courses, workshops, or conferences.

While AI offers promises in eliminating gender-based discrimination, as demonstrated by the papers in this Special Issue, it is crucial to be aware of the potential risks involved. Inappropriately designed and trained AI algorithms used in surgical settings can inherit and amplify existing biases from the training data, inadvertently perpetuating gender biases and inequalities in the surgical field. Therefore, active awareness and diligent oversight are essential to ensure that the deployment of AI technologies effectively combats gender biases and fosters equality in the field.

Finally, in the NEWS section, an interview with Prof. Franca Melfi, President of SIET (Italian Society of Endoscopic Thoracic Surgery) and Past Thoracic Domain Chair of EACTS (European Association for Cardio-Thoracic Surgery), a master in robotic surgery, conducted by Dr. Parini, explores a remarkable career in a male-dominated field, covering a journey driven by passion, motivation, and perseverance.

In conclusion, with this Special Issue, the AIS journal fully embraces the purpose of being the official Journal of Women in Surgery Italia!

DECLARATIONS

Authors’ contributions

Made substantial contributions to the conception and design of the study and performed data analysis and interpretation: Frigerio I, Rashidian N

Performed data acquisition, as well as provided administrative, technical, and material support: Frigerio I, Rashidian N

Availability of data and materials

Not applicable.

Financial support and sponsorship

None.

Conflicts of interest

All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Copyright

© The Author(s) 2023.

REFERENCES

1. Capelli G, Glavas D, Ferrari L, Verdi D, Spolverato G. Women surgeons fighting for work-life balance: how technology might help close the gender gap. Art Int Surg 2023;3:80-9.

2. Mari V, Spolverato G, Ferrari L. The potential of artificial intelligence as an equalizer of gender disparity in surgical training and education. Art Int Surg 2022;2:122-31.

3. Ferrari L, Mari V, Capelli G, Spolverato G. Mentorship and early career mentorship. Art Int Surg 2022;2:177-85.

Cite This Article

Editorial
Open Access
Artificial intelligence for equity
Isabella Frigerio, Niki Rashidian

How to Cite

Frigerio, I.; Rashidian N. Artificial intelligence for equity. Art. Int. Surg. 2023, 3, 160-2. http://dx.doi.org/10.20517/ais.2023.22

Download Citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click on download.

Export Citation File:

Type of Import

Tips on Downloading Citation

This feature enables you to download the bibliographic information (also called citation data, header data, or metadata) for the articles on our site.

Citation Manager File Format

Use the radio buttons to choose how to format the bibliographic data you're harvesting. Several citation manager formats are available, including EndNote and BibTex.

Type of Import

If you have citation management software installed on your computer your Web browser should be able to import metadata directly into your reference database.

Direct Import: When the Direct Import option is selected (the default state), a dialogue box will give you the option to Save or Open the downloaded citation data. Choosing Open will either launch your citation manager or give you a choice of applications with which to use the metadata. The Save option saves the file locally for later use.

Indirect Import: When the Indirect Import option is selected, the metadata is displayed and may be copied and pasted as needed.

About This Article

Special Issue

This article belongs to the Special Issue Women in Surgery Meets AIS Journal
© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Data & Comments

Data

Views
280
Downloads
145
Citations
0
Comments
0
1

Comments

Comments must be written in English. Spam, offensive content, impersonation, and private information will not be permitted. If any comment is reported and identified as inappropriate content by OAE staff, the comment will be removed without notice. If you have any queries or need any help, please contact us at support@oaepublish.com.

0
Download PDF
Share This Article
Scan the QR code for reading!
See Updates
Contents
Figures
Related
Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
Follow Us

Portico

All published articles will be preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles will be preserved here permanently:

https://www.portico.org/publishers/oae/