ChatGPT Stats for Marketers Users, Growth, and Demographics. https://foundationinc.co/lab/chatgpt-stats. Accessed 14 Aug 2024
Seth I, Cox A, Xie Y et al (2023) Evaluating Chatbot Efficacy for answering frequently asked questions in plastic surgery: a ChatGPT Case Study focused on breast augmentation. Aesthet Surg J 43:1126–1135. https://doi.org/10.1093/asj/sjad140
Nguyen J, Pepping CA (2023) The application of ChatGPT in healthcare progress notes: a commentary from a clinical and research perspective. Clin Transl Med 13:e1324. https://doi.org/10.1002/ctm2.1324
Article PubMed PubMed Central Google Scholar
Berry CE, Fazilat AZ, Lavin C et al (2024) Both patients and plastic surgeons prefer Artificial Intelligence-Generated Microsurgical Information. https://doi.org/10.1055/a-2273-4163. J Reconstr Microsurg
Artificial Intelligence in Plastic Surgery ChatGPT as a Tool to Address Disparities in Health Literacy - PubMed. https://pubmed.ncbi.nlm.nih.gov/37983817/. Accessed 24 Jul 2024
Cao JJ, Kwon DH, Ghaziani TT et al (2023) Accuracy of information provided by ChatGPT regarding Liver Cancer Surveillance and diagnosis. AJR Am J Roentgenol 221:556–559. https://doi.org/10.2214/AJR.23.29493
Johnson D, Goodman R, Patrinely J et al (2023) Assessing the accuracy and reliability of AI-Generated medical responses: an evaluation of the Chat-GPT Model. https://doi.org/10.21203/rs.3.rs-2566942/v1. Res Sq rs.3.rs-2566942
Potapenko I, Boberg-Ans LC, Stormly Hansen M et al (2023) Artificial intelligence-based chatbot patient information on common retinal diseases using ChatGPT. Acta Ophthalmol 101:829–831. https://doi.org/10.1111/aos.15661
Young JN, Ross O’Hagan null, Poplausky D et al (2023) The utility of ChatGPT in generating patient-facing and clinical responses for melanoma. J Am Acad Dermatol 89:602–604. https://doi.org/10.1016/j.jaad.2023.05.024
Yeo YH, Samaan JS, Ng WH et al (2023) Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma. Clin Mol Hepatol 29:721–732. https://doi.org/10.3350/cmh.2023.0089
Article PubMed PubMed Central Google Scholar
Haver HL, Lin CT, Sirajuddin A et al (2023) Use of ChatGPT, GPT-4, and Bard to improve readability of ChatGPT’s answers to common questions about Lung Cancer and Lung Cancer Screening. AJR Am J Roentgenol 221:701–704. https://doi.org/10.2214/AJR.23.29622
Ayoub NF, Lee Y-J, Grimm D, Balakrishnan K (2023) Comparison between ChatGPT and Google search as sources of postoperative patient instructions. JAMA Otolaryngol Head Neck Surg 149:556–558. https://doi.org/10.1001/jamaoto.2023.0704
Article PubMed PubMed Central Google Scholar
De Vogli R, Gimeno D, Kivimaki M (2008) Socioeconomic inequalities in health in 22 European countries. N Engl J Med 359:1290; author reply 1290–1291. https://doi.org/10.1056/NEJMc081414
Sommer I, Griebler U, Mahlknecht P et al (2015) Socioeconomic inequalities in non-communicable diseases and their risk factors: an overview of systematic reviews. BMC Public Health 15:914. https://doi.org/10.1186/s12889-015-2227-y
Article CAS PubMed PubMed Central Google Scholar
Stringhini S, Carmeli C, Jokela M et al (2017) Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women. Lancet 389:1229–1237. https://doi.org/10.1016/S0140-6736(16)32380-7
Article PubMed PubMed Central Google Scholar
Akbolat M, Amarat M, Ünal Ö, Şantaş G (2023) A survey of health information seeking by cancer patients indicates some problems over medical explanations and terminology. Health Info Libr J 40:29–41. https://doi.org/10.1111/hir.12387
Theiss LM, Wood T, McLeod MC et al (2022) The association of health literacy and postoperative complications after colorectal surgery: a cohort study. Am J Surg 223:1047–1052. https://doi.org/10.1016/j.amjsurg.2021.10.024
De Oliveira GS, McCarthy RJ, Wolf MS, Holl J (2015) The impact of health literacy in the care of surgical patients: a qualitative systematic review. BMC Surg 15:86. https://doi.org/10.1186/s12893-015-0073-6
Article PubMed PubMed Central Google Scholar
Fieux M, Lisan Q, Nevoux J et al (2023) French health insurance data for chronic rhinosinusitis with nasal polyps between 2011 and 2018: a STROBE-compliant analysis. Eur Ann Otorhinolaryngol Head Neck Dis 140:65–69. https://doi.org/10.1016/j.anorl.2022.08.001
Article CAS PubMed Google Scholar
Hopkins C, Browne JP, Slack R et al (2006) The national comparative audit of surgery for nasal polyposis and chronic rhinosinusitis. Clin Otolaryngol 31:390–398. https://doi.org/10.1111/j.1749-4486.2006.01275.x
Article CAS PubMed Google Scholar
Martin TJ, Yauck JS, Smith TL (2006) Patients undergoing sinus surgery: constructing a demographic profile. Laryngoscope 116:1185–1191. https://doi.org/10.1097/01.mlg.0000224506.42567.6e
Armache M, Assi S, Wu R et al (2024) Readability of Patient Education materials in Head and Neck Cancer: a systematic review. JAMA Otolaryngol Head Neck Surg 150:713–724. https://doi.org/10.1001/jamaoto.2024.1569
Abreu AA, Murimwa GZ, Farah E et al (2024) Enhancing readability of online patient-facing content: the role of AI chatbots in improving Cancer Information Accessibility. J Natl Compr Canc Netw 22:e237334. https://doi.org/10.6004/jnccn.2023.7334
Sahin S, Erkmen B, Duymaz YK et al (2024) Evaluating ChatGPT-4’s performance as a digital health advisor for otosclerosis surgery. Front Surg 11:1373843. https://doi.org/10.3389/fsurg.2024.1373843
Article PubMed PubMed Central Google Scholar
Riestra-Ayora J, Vaduva C, Esteban-Sánchez J et al (2024) ChatGPT as an information tool in rhinology. Can we trust each other today? Eur Arch Otorhinolaryngol 281:3253–3259. https://doi.org/10.1007/s00405-024-08581-5
Agharia S, Szatkowski J, Fraval A et al (2024) The ability of artificial intelligence tools to formulate orthopaedic clinical decisions in comparison to human clinicians: an analysis of ChatGPT 3.5, ChatGPT 4, and Bard. J Orthop 50:1–7. https://doi.org/10.1016/j.jor.2023.11.063
Kuenzel U, Monga Sindeu T, Schroth S et al (2018) Evaluation of the quality of Online Information for patients with rare cancers: thyroid Cancer. J Canc Educ 33:960–966. https://doi.org/10.1007/s13187-017-1173-z
Massey PA, Montgomery C, Zhang AS (2023) Comparison of ChatGPT-3.5, ChatGPT-4, and Orthopaedic Resident performance on Orthopaedic Assessment examinations. J Am Acad Orthop Surg 31:1173–1179. https://doi.org/10.5435/JAAOS-D-23-00396
Article PubMed PubMed Central Google Scholar
Fazilat AZ, Berry CE, Churukian A et al (2024) AI-based Cleft Lip and Palate Surgical Information is Preferred by both plastic surgeons and patients in a blind comparison. Cleft Palate Craniofac J 10556656241266368. https://doi.org/10.1177/10556656241266368
Kincaid J, Fishburne R, Rogers R, Chissom B (1975) Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading ease Formula) for Navy enlisted Personnel. Institute for Simulation and Training
Gunning R (1952) The technique of Clear writing. McGraw-Hill
McLaughlin GH (1969) SMOG grading: a new readability formula. J Read 12:639–646
Coleman M, Liau TL (1975) A computer readability formula designed for machine scoring. J Appl Psychol 60:283–284. https://doi.org/10.1037/h0076540
Dubay W (2004) The principles of readability. CA 92627949:631–3309
Xie Y, Seth I, Hunter-Smith DJ et al (2023) Aesthetic surgery advice and counseling from Artificial Intelligence: a Rhinoplasty Consultation with ChatGPT. Aesthetic Plast Surg 47:1985–1993. https://doi.org/10.1007/s00266-023-03338-7
Article PubMed PubMed Central Google Scholar
Jo MH, Kim M-J, Oh H-K et al (2024) Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery. Int J Colorectal Dis 39:94. https://doi.org/10.1007/s00384-024-04670-3
Article PubMed PubMed Central Google Scholar
Chaker SC, Hung Y-C, Saad M et al (2024) Easing the Burden on caregivers- applications of Artificial Intelligence for Physicians and caregivers of children with cleft lip and palate. Cleft Palate Craniofac J 10556656231223596. https://doi.org/10.1177/10556656231223596
Gomez-Cabello CA, Borna S, Pressman SM et al (2024) Artificial Intelligence in Postoperative Care: assessing large Language models for patient recommendations in plastic surgery. Healthc (Basel) 12:1083. https://doi.org/10.3390/healthcare12111083
Wang A, Kim E, Oleru O et al (2024) Artificial Intelligence in Plastic surgery: ChatGPT as a Tool to address disparities in health literacy. Plast Reconstr Surg 153:1232e–1234e. https://doi.org/10.1097/PRS.0000000000011202
留言 (0)