دورية أكاديمية

Physician views of artificial intelligence in otolaryngology and rhinology: A mixed methods study

التفاصيل البيبلوغرافية
العنوان: Physician views of artificial intelligence in otolaryngology and rhinology: A mixed methods study
المؤلفون: Annapoorani Asokan, Conner J. Massey, Caroline Tietbohl, Kurt Kroenke, Megan Morris, Vijay R. Ramakrishnan
المصدر: Laryngoscope Investigative Otolaryngology, Vol 8, Iss 6, Pp 1468-1475 (2023)
بيانات النشر: Wiley, 2023.
سنة النشر: 2023
المجموعة: LCC:Otorhinolaryngology
LCC:Surgery
مصطلحات موضوعية: artificial intelligence, machine learning, chronic rhinosinusitis, qualitative research, patient satisfaction, Otorhinolaryngology, RF1-547, Surgery, RD1-811
الوصف: Abstract Objective The study aimed to investigate otolaryngologists' knowledge, trust, acceptance, and concerns with clinical applications of artificial intelligence (AI). Methods This study used mixed methods with survey and semistructured interviews. Survey was e‐mailed to American Rhinologic Society members, of which a volunteer sample of 86 members responded. Nineteen otolaryngologists were purposefully recruited and interviewed until thematic saturation was achieved. Results Seventy‐six respondents (10% response rate) completed the majority of the survey: 49% worked in academic settings and 43% completed residency 10 or fewer years ago. Of 19 interviewees, 58% worked in academic settings, and 47% completed residency 10 or fewer years ago. Familiarity: Only 8% of survey respondents reported having AI training in residency, although 72% had familiarity with general AI concepts; 0 interviewees had personal experience with AI in clinical settings. Expected uses: Of the surveyed otolaryngologists, 82% would use an AI‐based clinical decision aid and 74% were comfortable with AI proposing treatment recommendations. However, only 44% of participants would trust AI to identify malignancy and 53% to interpret radiographic images. Interviewees trusted AI for simple tasks, such as labeling septal deviation, more than complex ones, such as identifying tumors. Factors influencing AI adoption: 89% of survey participants would use AI if it improved patient satisfaction, 78% would be willing to use AI if experts and studies validated the technologies, and 73% would only use AI if it increased efficiency. Sixty‐one percent of survey respondents expected AI incorporation into clinical practice within 5 years. Interviewees emphasized that AI adoption depends on its similarity to their clinical judgment and to expert opinion. Concerns included nuanced or complex cases, poor design or accuracy, and the personal nature of physician‐patient relationships. Conclusion Few physicians have experience with AI technologies but expect rapid adoption in the clinic, highlighting the urgent need for clinical education and research. Otolaryngologists are most receptive to AI “augmenting” physician expertise and administrative capacity, with respect for physician autonomy and maintaining relationships with patients. Level of Evidence Level VI, descriptive or qualitative study.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2378-8038
Relation: https://doaj.org/toc/2378-8038
DOI: 10.1002/lio2.1177
URL الوصول: https://doaj.org/article/717c12a856a8457d9ad39aa916808534
رقم الأكسشن: edsdoj.717c12a856a8457d9ad39aa916808534
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23788038
DOI:10.1002/lio2.1177