Application of artificial intelligence in medical education: A meta-ethnographic synthesis DOI
Wei Li,

Hai-Yan Shi,

Xiaoling Chen

и другие.

Medical Teacher, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Окт. 31, 2024

Background With the advancement of Artificial Intelligence (AI), it has had a profound impact on medical education. Understanding advantages and issues AI in education, providing guidance for educators, overcoming challenges implementation process is particularly important.

Язык: Английский

Currently Available Large Language Models Do Not Provide Musculoskeletal Treatment Recommendations That are Concordant With Evidence-Based Clinical Practice Guidelines DOI
Benedict U. Nwachukwu, Nathan H. Varady, Answorth A. Allen

и другие.

Arthroscopy The Journal of Arthroscopic and Related Surgery, Год журнала: 2024, Номер unknown

Опубликована: Авг. 1, 2024

Язык: Английский

Процитировано

10

Evaluating AI performance in nephrology triage and subspecialty referrals DOI Creative Commons

Priscilla Koirala,

Charat Thongprayoon,

Jing Miao

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

1

Investigating the attitude of university students towards the use of ChatGPT as a learning resource DOI Creative Commons
Edwin Gustavo Estrada-Araoz, Yolanda Paredes Valverde, Rosel Quispe Herrera

и другие.

Data & Metadata, Год журнала: 2024, Номер 3, С. 268 - 268

Опубликована: Янв. 1, 2024

Introduction: currently, the integration of innovative technologies plays a crucial role in students' academic formation. In this context, ChatGPT emerges as cutting-edge tool with potential to transform educational experience.Objective: assess attitude university students towards use learning resource.Methods: quantitative study, non-experimental design and observational descriptive type. The sample was determined through simple random sampling consisted 269 both genders who were administered Attitudes Use Scale, an instrument adequate metric properties.Results: resource predominantly rated at medium level, affective, cognitive, behavioral dimensions. This suggests that enjoy using their process consider it facilitates improves experience. However, they expressed concern about possibility generating inaccurate results.Conclusions: level. Likewise, progressed training, developed more favorable

Язык: Английский

Процитировано

5

Encouragement vs. liability: How prompt engineering influences ChatGPT-4's radiology exam performance DOI
Daniel Nguyen, Allison M. MacKenzie, Young H. Kim

и другие.

Clinical Imaging, Год журнала: 2024, Номер 115, С. 110276 - 110276

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

5

Familiarity, Usage Patterns, and Attitudes of Alfaisal University Medical Students towards ChatGPT and other Chat-based Artificial Intelligence Applications in Medical Education (Preprint) DOI Creative Commons

Safia Elwaleed Elhassan,

Muhammad Raihan Sajid, Ayeshah Syed

и другие.

JMIR Medical Education, Год журнала: 2025, Номер 11, С. e63065 - e63065

Опубликована: Янв. 3, 2025

There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps medical education. Despite data being available from parts world, there is significant lack information on this topic education research, particularly Saudi Arabia. The primary objective study was to examine familiarity, usage patterns, attitudes Alfaisal University students toward AI This cross-sectional conducted October 8, 2023, through November 22, 2023. A questionnaire distributed social media channels at who were 18 years or older. Current 1 6, both genders, exclusively targeted by questionnaire. approved Institutional Review Board. χ2 test assess relationships between gender, year study, reasons for usage. total 293 responses received, which 95 (32.4%) men 198 (67.6%) women. 236 (80.5%) preclinical 57 (19.5%) clinical students, respectively. Overall, males (n=93, 97.9%) showed more familiarity with compared females (n=180, 90.09%; P=.03). Additionally, also used Google Bard Microsoft Bing than (P<.001). Clinical-year significantly general writing purposes (P=.005). 136 (46.4%) believed that using coursework ethical, 86 (29.4%) neutral, 71 (24.2%) considered it unethical (all Ps>.05). Familiarity common among University. patterns these differ clinical-year students.

Язык: Английский

Процитировано

0

American Academy of Orthopedic Surgery OrthoInfo provides more readable information regarding rotator cuff injury than ChatGPT DOI Creative Commons
Catherine Hand,

Camden Bohn,

Shadia Tannir

и другие.

Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine, Год журнала: 2025, Номер unknown, С. 100841 - 100841

Опубликована: Фев. 1, 2025

With over 61% of Americans seeking health information online, the accuracy and readability this content are critical. AI tools, like ChatGPT, have gained popularity in providing medical information, but concerns remain about their accessibility, especially for individuals with lower literacy levels. This study compares ChatGPT-generated from American Academy Orthopedic Surgery (AAOS) OrthoInfo website, focusing on rotator cuff injuries. We formulated seven frequently asked questions injuries, based gathered responses both ChatGPT-4 OrthoInfo. Readability was assessed using multiple metrics (Flesch-Kincaid, Gunning Fog, Coleman-Liau, SMOG Formula, FORCAST Fry Graph, Raygor Estimate), while evaluated by three independent reviewers. Statistical analysis included t-tests correlation analysis. ChatGPT required a higher education level to comprehend, an average grade 14.7, compared OrthoInfo's 11.9 (p < 0.01). The Flesch Reading Ease Index indicated that (52.5) more readable than ChatGPT's (25.9, p Both sources had high accuracy, slightly question further damage 0.05). shows promise delivering accurate may not be suitable all patients due its complexity. A combination expert-reviewed, accessible enhance patient understanding literacy. Future developments should focus improving AI's adaptability different IV.

Язык: Английский

Процитировано

0

The Impact of Artificial Intelligence on Research Efficiency DOI Creative Commons
Mitra Madanchian, Hamed Taherdoost

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104743 - 104743

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Plagiarism in the system of academic integrity in medical research (part 2) DOI Creative Commons
M.V. Krasnoselskyi, N.O. Artamonova, Олена Миколаївна Сухіна

и другие.

Український радіологічний та онкологічний журнал, Год журнала: 2025, Номер 33(1), С. 113 - 128

Опубликована: Март 31, 2025

Background. In the context of globalization digital technologies, including artificial intelligence (AI) and chatbots, issue ensuring academic integrity in medical research protection against pseudoscientific results plagiarism is becoming increasingly relevant. Purpose – тo characterize modern perspectives on multifaceted phenomenon research. Materials Methods. To achieve objective, analytical methods were used to process scientific publications from international resources such as Scopus, Web Science Core Collection, NCBI PubMed, well Vernadsky National Library Ukraine, regulatory documents other publications. The study period covered 2014–2024. search strategy was based key terms «academic plagiarism», «plagiarism AND medicine», «ChatGPT «artificial plagiarism». Scientific articles application ChatGPT began appearing 2023. total, for topic 288 found WoS, 493 100 PubMed. Regarding topics, significantly fewer found: 61 173 87 selection criteria included exclusion duplicates relevance article's plagiarism, with preference given review articles. Results. characterized role particularly ChatGPT, plagiarism. main functions scientists outlined, types using AI characterized, risks chatbots highlighted, etc. An assessment made danger potential impact quality articles, guiding principles well-known organizations regarding publications, particular Committee Publication Ethics World Association Medical Editors editors presented. legal aspect problem, emphasis placed correlation between «idea» «form» a work important elements qualifying violation rights. detection tools, their capabilities, significance fight also provided. Conclusions. development presents new opportunities science while simultaneously posing challenges related integrity. AI-based facilitate creation This necessitates approaches detecting preventing misconduct. Addressing this requires coordinated efforts authors, journals, educational institutions, technology developers. Our provides an overview possibilities ethical use by researchers environment. particular, importance following emphasized: creating support structures Ukraine prevent misconduct; expanding initiatives aimed at teaching how effectively ethically integrate into processes; balance tool accelerate adhering principles. Special attention should be integrating research, field among most critical society.

Язык: Английский

Процитировано

0

PAINe - An Artificial Intelligence Based Virtual Assistant to Aid in the Differentiation of Pain of Odontogenic versus Temporomandibular Origin DOI

Bianca Marques de Mattos de Araujo,

Pedro Felipe Jesus Freitas,

Ângela Graciela Deliga Schröder

и другие.

Journal of Endodontics, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

2

What is the potential of ChatGPT for qualified patient information? DOI Creative Commons
Gernot Keyßer,

Alexander Pfeil,

Monika Reuß‐Borst

и другие.

Zeitschrift für Rheumatologie, Год журнала: 2024, Номер unknown

Опубликована: Июль 10, 2024

Zusammenfassung Einführung Der Chatbot ChatGPT stellt einen Meilenstein in der Interaktion zwischen Menschen und großen, über das Internet zugänglichen Datenbanken dar. Er ermöglicht mit einer Kommunikation Alltagssprache die Beantwortung komplexer Fragen ist damit potenziell eine Informationsquelle für Betroffene rheumatischer Erkrankungen. Ziel Untersuchung war es herauszufinden, ob (Version 3.5) Lage ist, qualifizierte Antworten zur Anwendbarkeit von Verfahren Komplementär- Alternativmedizin (CAM; Homöopathie, Ayurveda, Phytotherapie) bei rheumatoider Arthritis (RA), systemischem Lupus erythematodes (SLE) Granulomatose Polyangiitis (GPA) zu liefern. Außerdem wurde untersucht, welchen Einfluss Art Fragestellung auf erhaltenen Ergebnisse haben könnte. Methodik Die Befragung erfolgte 3 Abschnitten. In Abschnitt A offene Frage Behandlungsmöglichkeiten einem Krankheitsbilder gestellt. B allgemein nach möglichen Anwendungen CAM Erkrankungen gefragt. C wurden Applikationsmöglichkeiten genannten jede Diagnose erfragt. den Abschnitten jeweils 2 Modifikationen erste fragte danach, überhaupt anwendbar ist. zweite erkundigte sich konkreten aus Verfahren. Validität anhand des Reliability Scores, 7‑stufigen Likert-Skala, ausgewertet. Zu offenen im lieferte validesten Ergebnisse. zahlreiche CAM-Anwendungen vorgeschlagen, nicht durch wissenschaftliche Evidenz gestützt sind. diesen waren deutlich abhängig. Suggerierte Anwendungsabsicht CAM, entfielen häufig Hinweise fehlende Evidenz, Qualität Antwort meisten Fällen schlechter bewertet. Schlussfolgerung Anwendung definierten rheumatischen lassen ausreichende vermissen. Zudem beeinflusst Aussagen erheblich. Eine kritiklose als Instrument Patientenschulung kann derzeit empfohlen werden.

Процитировано

0