Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery DOI Creative Commons
Min Hyeong Jo, Minjun Kim, Heung‐Kwon Oh

и другие.

International Journal of Colorectal Disease, Год журнала: 2024, Номер 39(1)

Опубликована: Июнь 20, 2024

Abstract Purpose To examine the ability of generative artificial intelligence (GAI) to answer patients’ questions regarding colorectal cancer (CRC). Methods Ten clinically relevant about CRC were selected from top-rated hospitals’ websites and patient surveys presented three GAI tools (Chatbot Generative Pre-Trained Transformer [GPT-4], Google Bard, CLOVA X). Their responses compared with answers information book. Response evaluation was performed by two groups, each consisting five healthcare professionals (HCP) patients. Each question scored on a 1–5 Likert scale based four criteria (maximum score, 20 points/question). Results In an analysis including only HCPs, book 11.8 ± 1.2, GPT-4 13.5 1.1, Bard 11.5 0.7, X 12.2 1.4 ( P = 0.001). The score significantly higher than those 0.020) patients, 14.1 1.4, 15.2 1.8, 15.5 14.4 without significant differences 0.234). When both groups evaluators included, 13.0 0.9, 1.0, 13.3 1.5 0.070). Conclusion GAIs demonstrated similar or better communicative competence related surgery in Korean. If high-quality medical provided is supervised properly HCPs published as book, it could be helpful for patients obtain accurate make informed decisions.

Язык: Английский

Evaluating the accuracy of Chat Generative Pre-trained Transformer version 4 (ChatGPT-4) responses to United States Food and Drug Administration (FDA) frequently asked questions about dental amalgam DOI Creative Commons
Mehmet Buldur, Berkant Sezer

BMC Oral Health, Год журнала: 2024, Номер 24(1)

Опубликована: Май 24, 2024

Abstract Background The use of artificial intelligence in the field health sciences is becoming widespread. It known that patients benefit from applications on various issues, especially after pandemic period. One most important issues this regard accuracy information provided by applications. Objective purpose study was to frequently asked questions about dental amalgam, as determined United States Food and Drug Administration (FDA), which one these resources, Chat Generative Pre-trained Transformer version 4 (ChatGPT-4) compare content answers given application with FDA. Methods were directed ChatGPT-4 May 8th 16th, 2023, responses recorded compared at word meaning levels using ChatGPT. FDA webpage also recorded. for similarity “Main Idea”, “Quality Analysis”, “Common Ideas”, “Inconsistent Ideas” between ChatGPT-4’s FDA’s responses. Results similar one-week intervals. In comparison guidance, it questions. However, although there some similarities general aspects recommendation regarding amalgam removal question, two texts are not same, they offered different perspectives replacement fillings. Conclusions findings indicate ChatGPT-4, an based application, encompasses current accurate its removal, providing individuals seeking access such information. Nevertheless, we believe numerous studies required assess validity reliability across diverse subjects.

Язык: Английский

Процитировано

7
Quantitative Comparison of Chatbots on Common Rhinology Pathologies DOI Creative Commons
Jeffrey R. Bellinger,

Minhie W. Kwak,

Gabriel Ramos

и другие.

The Laryngoscope, Год журнала: 2024, Номер 134(10), С. 4225 - 4231

Опубликована: Апрель 26, 2024

Understanding the strengths and weaknesses of chatbots as a source patient information is critical for providers in rising artificial intelligence landscape. This study first to quantitatively analyze compare four most used available regarding treatments common pathologies rhinology.

Язык: Английский

Процитировано

6
ChatGPT‐4 Consistency in Interpreting Laryngeal Clinical Images of Common Lesions and Disorders DOI
Antonino Maniaci, Carlos M. Chiesa‐Estomba, Jérôme R. Lechien

и другие.

Otolaryngology, Год журнала: 2024, Номер 171(4), С. 1106 - 1113

Опубликована: Июль 24, 2024

Abstract Objective To investigate the consistency of Chatbot Generative Pretrained Transformer (ChatGPT)‐4 in analysis clinical pictures common laryngological conditions. Study Design Prospective uncontrolled study. Setting Multicenter Methods Patient history and videolaryngostroboscopic images were presented to ChatGPT‐4 for differential diagnoses, management, treatment(s). responses assessed by 3 blinded laryngologists with artificial intelligence performance instrument (AIPI). The complexity cases between practitioners interpreting evaluated a 5‐point Likert Scale. intraclass correlation coefficient (ICC) was used measure strength interrater agreement. Results Forty patients mean score 2.60 ± 1.15. included. image interpretation 2.46 1.42. perfectly analyzed 6 (15%; 5/5), while GPT‐4 judges high 5 (12.5%; 4/5). Judges reported an ICC 0.965 ( P = .001). erroneously documented vocal fold irregularity (mass or lesion), glottic insufficiency, cord paralysis 21 (52.5%), 2 (0.05%), (12.5%) cases, respectively. indicated 153 63 additional examinations, respectively primary diagnosis correct 20.0% 25.0% cases. significantly associated AIPI r s 0.830; Conclusion is more efficient diagnosis, rather than analysis, selecting most adequate examinations treatments.

Язык: Английский

Процитировано

6
ChatGPT: A game-changer in oral and maxillofacial surgery DOI Creative Commons

Araz Qadir Abdalla,

Tahir Aziz

Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер 2, С. 100078 - 100078

Опубликована: Фев. 27, 2024

The integration of AI-powered ChatGPT in oral and maxillofacial surgery marks a transformative shift healthcare, enhancing diagnostics, treatment planning, patient communication, surgical training. Its rapid analysis vast datasets ensures precise, personalized diagnoses strategies, minimizing risks improving outcomes. facilitates virtual consultations, educates patients, serves as real-time assistant during procedures, while AI-driven simulations refine the skills aspiring surgeons secure environment. Despite challenges like data privacy algorithm validation, ongoing research promises to bolster AI's role surgery. Overall, ChatGPT's incorporation reshapes surgery, promising heightened precision, efficiency, care quality, ultimately revolutionizing practices well-being.

Язык: Английский

Процитировано

5
Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery DOI Creative Commons
Min Hyeong Jo, Minjun Kim, Heung‐Kwon Oh

и другие.

International Journal of Colorectal Disease, Год журнала: 2024, Номер 39(1)

Опубликована: Июнь 20, 2024

Abstract Purpose To examine the ability of generative artificial intelligence (GAI) to answer patients’ questions regarding colorectal cancer (CRC). Methods Ten clinically relevant about CRC were selected from top-rated hospitals’ websites and patient surveys presented three GAI tools (Chatbot Generative Pre-Trained Transformer [GPT-4], Google Bard, CLOVA X). Their responses compared with answers information book. Response evaluation was performed by two groups, each consisting five healthcare professionals (HCP) patients. Each question scored on a 1–5 Likert scale based four criteria (maximum score, 20 points/question). Results In an analysis including only HCPs, book 11.8 ± 1.2, GPT-4 13.5 1.1, Bard 11.5 0.7, X 12.2 1.4 ( P = 0.001). The score significantly higher than those 0.020) patients, 14.1 1.4, 15.2 1.8, 15.5 14.4 without significant differences 0.234). When both groups evaluators included, 13.0 0.9, 1.0, 13.3 1.5 0.070). Conclusion GAIs demonstrated similar or better communicative competence related surgery in Korean. If high-quality medical provided is supervised properly HCPs published as book, it could be helpful for patients obtain accurate make informed decisions.

Язык: Английский

Процитировано

5