Scrolling surgeons: Assessment of social media and artificial intelligence usage in gynecologic oncology fellows and fellowship programs

IF 1.3 Q3 OBSTETRICS & GYNECOLOGY
Jessica Sciuva , Ivana DeVengencie , Jessica Fulton , Molly Morton , Julia Chalif , Eric Rios-Doria , Laura M. Chambers
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引用次数: 0

Abstract

Objectives

This study examines gynecologic oncology fellows’ perceptions and use of social media and artificial intelligence (AI) and their perception of virtual fellowship interviews.

Methods

A cross-sectional, IRB-approved survey was distributed to fellows enrolled in ACGME-accredited gynecologic oncology programs across the United States in December 2023. The survey collected demographic data and assessed social media engagement, AI utilization, and perceptions of their applicability in clinical, educational, and professional settings.

Results

A total of 36 gynecologic oncology fellows participated. The majority reported using social media for personal purposes (62.5 % strongly agreed, 25.0 % agreed). However, 43.8 % agreed that they used social media for educational purposes, and a significant proportion (43.8 % disagreed, 25.0 % strongly disagreed) did not use social media to promote professional achievements. Most fellows recognized social media’s role in patient engagement (50.0 % strongly agreed, 43.8 % agreed) and expressed a desire for more reliable patient-directed content (93.8 % strongly agreed or agreed). While 59.4 % believed social media was useful for fellowship recruitment, it had minimal impact on rank list decisions. Regarding AI, 53.1 % reported using AI tools such as ChatGPT for research (64.7 %) and professional writing (35.3 %), with limited use in patient care. Many fellows (47.1 % strongly agreed, 29.4 % agreed) expressed interest in formal AI training.

Conclusions

Gynecologic oncology fellows primarily use social media for personal rather than professional purposes. AI is emerging as a research tool, though concerns persist regarding its application in patient care. Formal training in social media and AI could enhance fellows’ ability to integrate these tools practice.
滚动外科医生:评估社交媒体和人工智能在妇科肿瘤研究员和奖学金项目中的使用
目的本研究考察妇科肿瘤学研究员对社交媒体和人工智能(AI)的认知和使用,以及他们对虚拟研究员访谈的看法。方法一项经irb批准的横断面调查于2023年12月分发给美国acgme认可的妇科肿瘤学项目的研究员。该调查收集了人口统计数据,并评估了社交媒体参与度、人工智能的使用情况,以及它们在临床、教育和专业环境中的适用性。结果共36名妇科肿瘤科医师参与。大多数人表示使用社交媒体是出于个人目的(62.5%的人非常同意,25.0%的人同意)。然而,43.8%的人同意他们使用社交媒体是为了教育目的,而很大一部分人(43.8%的人不同意,25.0%的人强烈不同意)没有使用社交媒体来促进职业成就。大多数研究员认识到社交媒体在患者参与中的作用(50.0%强烈同意,43.8%同意),并表达了对更可靠的患者导向内容的渴望(93.8%强烈同意或同意)。虽然59.4%的人认为社交媒体对奖学金招聘有用,但它对排名决定的影响微乎其微。关于人工智能,53.1%的人表示使用ChatGPT等人工智能工具进行研究(64.7%)和专业写作(35.3%),但在患者护理中的使用有限。许多研究员(47.1%强烈同意,29.4%同意)表达了对正式人工智能培训的兴趣。结论:妇科肿瘤学研究人员主要出于个人目的而非职业目的使用社交媒体。人工智能正在成为一种研究工具,尽管人们对其在患者护理中的应用仍然存在担忧。社交媒体和人工智能方面的正式培训可以提高研究员整合这些工具实践的能力。
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来源期刊
Gynecologic Oncology Reports
Gynecologic Oncology Reports OBSTETRICS & GYNECOLOGY-
CiteScore
2.00
自引率
0.00%
发文量
183
审稿时长
41 days
期刊介绍: Gynecologic Oncology Reports is an online-only, open access journal devoted to the rapid publication of narrative review articles, survey articles, case reports, case series, letters to the editor regarding previously published manuscripts and other short communications in the field of gynecologic oncology. The journal will consider papers that concern tumors of the female reproductive tract, with originality, quality, and clarity the chief criteria of acceptance.
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