Surgery · 2026
Already in the room: How endocrine surgery patients are using and embracing artificial intelligence in care.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Helbing Alexandra, Druar Nicholas, Finn Caitlin B, Holoubek Simon A, Allen Betty J, Davies Louise, Long Kristin, Schneider David F, Balentine Courtney, Sippel Rebecca S, Chiu Alexander
Аннотация
BACKGROUND: Patients are increasingly turning to artificial intelligence tools for medical information, yet patterns of use and willingness to integrate artificial intelligence into surgical care remain poorly defined.
METHODS: We conducted a survey of adult patients presenting to an endocrine surgery clinic. Participants were asked questions regarding their artificial intelligence use for obtaining medical information and completed a standardized scenario evaluating willingness to use a free, 24/7 chatbot. Associated factors queried included prior medical artificial intelligence use, medical/surgical task-specific use, and willingness to use artificial intelligence for clinical applications.
RESULTS: Of 151 respondents (response rate, 71.2%; mean [standard deviation] age, 58.8 [15.3] years; 110 women [72.8%]), 101 (66.9%) reported using artificial intelligence for any reason in the past year, 81 (53.6%) used it for medical information, and 40 (26.7%) used it to gain information before their current clinic visit. Artificial intelligence was primarily used to learn more about diagnoses (71 [47.0%]), symptoms (68 [45.0%]), and treatment options (63 [41.7%]). Overall, 136 patients (90.1%) expressed willingness to use a clinic-endorsed artificial intelligence chatbot, particularly for preoperative preparation (97 [64.2%]), postoperative instructions (95 [62.9%]), and discussion of surgical risks and benefits (93 [61.6%]). Factors that increased willingness to use artificial intelligence for medical information included rapid response (112 [74.2%]), ease of integration into daily schedules (103 [68.2%]), and clinician endorsement (91 [60.3%]). Barriers included privacy concerns (108 [71.5%]) and absence of a live provider (106 [70.2%]).
CONCLUSION: Endocrine surgery patients actively use artificial intelligence for medical information and demonstrate strong interest in clinic-integrated artificial intelligence tools, especially when endorsed by their surgeon, supporting a role for validated chatbots in perioperative care.
METHODS: We conducted a survey of adult patients presenting to an endocrine surgery clinic. Participants were asked questions regarding their artificial intelligence use for obtaining medical information and completed a standardized scenario evaluating willingness to use a free, 24/7 chatbot. Associated factors queried included prior medical artificial intelligence use, medical/surgical task-specific use, and willingness to use artificial intelligence for clinical applications.
RESULTS: Of 151 respondents (response rate, 71.2%; mean [standard deviation] age, 58.8 [15.3] years; 110 women [72.8%]), 101 (66.9%) reported using artificial intelligence for any reason in the past year, 81 (53.6%) used it for medical information, and 40 (26.7%) used it to gain information before their current clinic visit. Artificial intelligence was primarily used to learn more about diagnoses (71 [47.0%]), symptoms (68 [45.0%]), and treatment options (63 [41.7%]). Overall, 136 patients (90.1%) expressed willingness to use a clinic-endorsed artificial intelligence chatbot, particularly for preoperative preparation (97 [64.2%]), postoperative instructions (95 [62.9%]), and discussion of surgical risks and benefits (93 [61.6%]). Factors that increased willingness to use artificial intelligence for medical information included rapid response (112 [74.2%]), ease of integration into daily schedules (103 [68.2%]), and clinician endorsement (91 [60.3%]). Barriers included privacy concerns (108 [71.5%]) and absence of a live provider (106 [70.2%]).
CONCLUSION: Endocrine surgery patients actively use artificial intelligence for medical information and demonstrate strong interest in clinic-integrated artificial intelligence tools, especially when endorsed by their surgeon, supporting a role for validated chatbots in perioperative care.