journal
https://read.qxmd.com/read/38285931/proposing-a-principle-based-approach-for-teaching-ai-ethics-in-medical-education
#1
JOURNAL ARTICLE
Lukas Weidener, Michael Fischer
The use of Artificial Intelligence (AI) in medicine, potentially leading to substantial advancements, such as improved diagnostics, has been of increased scientific and societal interest in recent years. However, the use of AI raises new ethical challenges, such as an increased risk of bias and potential discrimination of patients, as well as misdiagnoses potentially leading to over- or underdiagnosis with substantial consequences for patients. Recognizing these challenges, current research underscores the importance of integrating AI ethics into medical education...
January 29, 2024: JMIR Medical Education
https://read.qxmd.com/read/38512310/telehealth-education-in-allied-health-care-and-nursing-web-based-cross-sectional-survey-of-student-s-perceived-knowledge-skills-attitudes-and-experience
#2
JOURNAL ARTICLE
Lena Rettinger, Peter Putz, Lea Aichinger, Susanne Maria Javorszky, Klaus Widhalm, Veronika Ertelt-Bach, Andreas Huber, Sevan Sargis, Lukas Maul, Oliver Radinger, Franz Werner, Sebastian Kuhn
BACKGROUND: The COVID-19 pandemic has highlighted the growing relevance of telehealth in health care. Assessing health care and nursing students' telehealth competencies is crucial for its successful integration into education and practice. OBJECTIVE: We aimed to assess students' perceived telehealth knowledge, skills, attitudes, and experiences. In addition, we aimed to examine students' preferences for telehealth content and teaching methods within their curricula...
March 21, 2024: JMIR Medical Education
https://read.qxmd.com/read/38506920/incorporating-chatgpt-in-medical-informatics-education-mixed-methods-study-on-student-perceptions-and-experiential-integration-proposals
#3
JOURNAL ARTICLE
Sabrina Magalhães Araujo, Ricardo Cruz-Correia
BACKGROUND: The integration of artificial intelligence (AI) technologies, such as ChatGPT, in the educational landscape has the potential to enhance the learning experience of medical informatics students and prepare them for using AI in professional settings. The incorporation of AI in classes aims to develop critical thinking by encouraging students to interact with ChatGPT and critically analyze the responses generated by the chatbot. This approach also helps students develop important skills in the field of biomedical and health informatics to enhance their interaction with AI tools...
March 20, 2024: JMIR Medical Education
https://read.qxmd.com/read/38470459/capability-of-gpt-4v-ision-in-the-japanese-national-medical-licensing-examination-evaluation-study
#4
JOURNAL ARTICLE
Takahiro Nakao, Soichiro Miki, Yuta Nakamura, Tomohiro Kikuchi, Yukihiro Nomura, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe
BACKGROUND: Previous research applying large language models (LLMs) to medicine was focused on text-based information. Recently, multimodal variants of LLMs acquired the capability of recognizing images. OBJECTIVE: We aim to evaluate the image recognition capability of generative pretrained transformer (GPT)-4V, a recent multimodal LLM developed by OpenAI, in the medical field by testing how visual information affects its performance to answer questions in the 117th Japanese National Medical Licensing Examination...
March 12, 2024: JMIR Medical Education
https://read.qxmd.com/read/38437007/sharing-digital-health-educational-resources-in-a-one-stop-shop-portal-tutorial-on-the-catalog-and-index-of-digital-health-teaching-resources-cidhr-semantic-search-engine
#5
JOURNAL ARTICLE
Julien Grosjean, Arriel Benis, Jean-Charles Dufour, Émeline Lejeune, Flavien Disson, Badisse Dahamna, Hélène Cieslik, Romain Léguillon, Matthieu Faure, Frank Dufour, Pascal Staccini, Stéfan Jacques Darmoni
BACKGROUND: Access to reliable and accurate digital health web-based resources is crucial. However, the lack of dedicated search engines for non-English languages, such as French, is a significant obstacle in this field. Thus, we developed and implemented a multilingual, multiterminology semantic search engine called Catalog and Index of Digital Health Teaching Resources (CIDHR). CIDHR is freely accessible to everyone, with a focus on French-speaking resources. CIDHR has been initiated to provide validated, high-quality content tailored to the specific needs of each user profile, be it students or professionals...
March 4, 2024: JMIR Medical Education
https://read.qxmd.com/read/38421691/development-of-a-clinical-simulation-video-to-evaluate-multiple-domains-of-clinical-competence-cross-sectional-study
#6
JOURNAL ARTICLE
Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Daiki Yokokawa, Yu Yamamoto, Hiroyuki Kobayashi, Taro Shimizu, Yasuharu Tokuda
BACKGROUND: Medical students in Japan undergo a 2-year postgraduate residency program to acquire clinical knowledge and general medical skills. The General Medicine In-Training Examination (GM-ITE) assesses postgraduate residents' clinical knowledge. A clinical simulation video (CSV) may assess learners' interpersonal abilities. OBJECTIVE: This study aimed to evaluate the relationship between GM-ITE scores and resident physicians' diagnostic skills by having them watch a CSV and to explore resident physicians' perceptions of the CSV's realism, educational value, and impact on their motivation to learn...
February 29, 2024: JMIR Medical Education
https://read.qxmd.com/read/38421689/exploring-the-feasibility-of-using-chatgpt-to-create-just-in-time-adaptive-physical-activity-mhealth-intervention-content-case-study
#7
JOURNAL ARTICLE
Amanda Willms, Sam Liu
BACKGROUND: Achieving physical activity (PA) guidelines' recommendation of 150 minutes of moderate-to-vigorous PA per week has been shown to reduce the risk of many chronic conditions. Despite the overwhelming evidence in this field, PA levels remain low globally. By creating engaging mobile health (mHealth) interventions through strategies such as just-in-time adaptive interventions (JITAIs) that are tailored to an individual's dynamic state, there is potential to increase PA levels...
February 29, 2024: JMIR Medical Education
https://read.qxmd.com/read/38412478/correction-how-does-chatgpt-perform-on-the-united-states-medical-licensing-examination-usmle-the-implications-of-large-language-models-for-medical-education-and-knowledge-assessment
#8
Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash
[This corrects the article DOI: 10.2196/45312.].
February 27, 2024: JMIR Medical Education
https://read.qxmd.com/read/38412022/using-chatgpt-like-solutions-to-bridge-the-communication-gap-between-patients-with-rheumatoid-arthritis-and-health-care-professionals
#9
JOURNAL ARTICLE
Chih-Wei Chen, Paul Walter, James Cheng-Chung Wei
The communication gap between patients and health care professionals has led to increased disputes and resource waste in the medical domain. The development of artificial intelligence and other technologies brings new possibilities to solve this problem. This viewpoint paper proposes a new relationship between patients and health care professionals-"shared decision-making"-allowing both sides to obtain a deeper understanding of the disease and reach a consensus during diagnosis and treatment. Then, this paper discusses the important impact of ChatGPT-like solutions in treating rheumatoid arthritis using methotrexate from clinical and patient perspectives...
February 27, 2024: JMIR Medical Education
https://read.qxmd.com/read/38412021/measuring-e-professional-behavior-of-doctors-of-medicine-and-dental-medicine-on-social-networking-sites-indexes-construction-with-formative-indicators
#10
JOURNAL ARTICLE
Marko Marelić, Ksenija Klasnić, Tea Vukušić Rukavina
BACKGROUND: Previous studies have predominantly measured e-professionalism through perceptions or attitudes, yet there exists no validated measure specifically targeting the actual behaviors of health care professionals (HCPs) in this realm. This study addresses this gap by constructing a normative framework, drawing from 3 primary sources to define e-professional behavior across 6 domains. Four domains pertain to the dangers of social networking sites (SNSs), encompassing confidentiality, privacy, patient interaction, and equitable resource allocation...
February 27, 2024: JMIR Medical Education
https://read.qxmd.com/read/38386400/using-ai-text-to-image-generation-to-create-novel-illustrations-for-medical-education-current-limitations-as-illustrated-by-hypothyroidism-and-horner-syndrome
#11
JOURNAL ARTICLE
Ajay Kumar, Pierce Burr, Tim Michael Young
Our research letter investigates the potential, as well as the current limitations, of widely available text-to-image tools in generating images for medical education. We focused on illustrations of important physical signs in the face (for which confidentiality issues in conventional patient photograph use may be a particular concern) that medics should know about, and we used facial images of hypothyroidism and Horner syndrome as examples.
February 22, 2024: JMIR Medical Education
https://read.qxmd.com/read/38381486/evaluating-large-language-models-for-the-national-premedical-exam-in-india-comparative-analysis-of-gpt-3-5-gpt-4-and-bard
#12
JOURNAL ARTICLE
Faiza Farhat, Beenish Moalla Chaudhry, Mohammad Nadeem, Shahab Saquib Sohail, Dag Øivind Madsen
BACKGROUND: Large language models (LLMs) have revolutionized natural language processing with their ability to generate human-like text through extensive training on large data sets. These models, including Generative Pre-trained Transformers (GPT)-3.5 (OpenAI), GPT-4 (OpenAI), and Bard (Google LLC), find applications beyond natural language processing, attracting interest from academia and industry. Students are actively leveraging LLMs to enhance learning experiences and prepare for high-stakes exams, such as the National Eligibility cum Entrance Test (NEET) in India...
February 21, 2024: JMIR Medical Education
https://read.qxmd.com/read/38381477/evaluating-the-impact-of-the-national-health-service-digital-academy-on-participants-perceptions-of-their-identity-as-leaders-of-digital-health-change-mixed-methods-study
#13
JOURNAL ARTICLE
Amish Acharya, Ruth Claire Black, Alisdair Smithies, Ara Darzi
BACKGROUND: The key to the digital leveling-up strategy of the National Health Service is the development of a digitally proficient leadership. The National Health Service Digital Academy (NHSDA) Digital Health Leadership program was designed to support emerging digital leaders to acquire the necessary skills to facilitate transformation. This study examined the influence of the program on professional identity formation as a means of creating a more proficient digital health leadership...
February 21, 2024: JMIR Medical Education
https://read.qxmd.com/read/38381475/occupational-therapy-students-evidence-based-practice-skills-as-reported-in-a-mobile-app-cross-sectional-study
#14
JOURNAL ARTICLE
Susanne G Johnson, Birgitte Espehaug, Lillebeth Larun, Donna Ciliska, Nina Rydland Olsen
BACKGROUND: Evidence-based practice (EBP) is an important aspect of the health care education curriculum. EBP involves following the 5 EBP steps: ask, assess, appraise, apply, and audit. These 5 steps reflect the suggested core competencies covered in teaching and learning programs to support future health care professionals applying EBP. When implementing EBP teaching, assessing outcomes by documenting the student's performance and skills is relevant. This can be done using mobile devices...
February 21, 2024: JMIR Medical Education
https://read.qxmd.com/read/38376896/ai-education-for-fourth-year-medical-students-two-year-experience-of-a-web-based-self-guided-curriculum-and-mixed-methods-study
#15
JOURNAL ARTICLE
Areeba Abid, Avinash Murugan, Imon Banerjee, Saptarshi Purkayastha, Hari Trivedi, Judy Gichoya
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are poised to have a substantial impact in the health care space. While a plethora of web-based resources exist to teach programming skills and ML model development, there are few introductory curricula specifically tailored to medical students without a background in data science or programming. Programs that do exist are often restricted to a specific specialty. OBJECTIVE: We hypothesized that a 1-month elective for fourth-year medical students, composed of high-quality existing web-based resources and a project-based structure, would empower students to learn about the impact of AI and ML in their chosen specialty and begin contributing to innovation in their field of interest...
February 20, 2024: JMIR Medical Education
https://read.qxmd.com/read/38358800/the-effects-of-immersive-virtual-reality-assisted-experiential-learning-on-enhancing-empathy-in-undergraduate-health-care-students-toward-older-adults-with-cognitive-impairment-multiple-methods-study
#16
JOURNAL ARTICLE
Justina Yat Wa Liu, Pui Ying Mak, Kitty Chan, Daphne Sze Ki Cheung, Kin Cheung, Kenneth N K Fong, Patrick Pui Kin Kor, Timothy Kam Hung Lai, Tulio Maximo
BACKGROUND: Immersive virtual reality (IVR)-assisted experiential learning has the potential to foster empathy among undergraduate health care students toward older adults with cognitive impairment by facilitating a sense of embodiment. However, the extent of its effectiveness, including enhancing students' learning experiences and achieving intended learning outcomes, remains underexplored. OBJECTIVE: This study aims to evaluate the impacts of IVR-assisted experiential learning on the empathy of undergraduate health care students toward older people with cognitive impairment as the primary outcome (objective 1) and on their learning experience (objective 2) and their attainment of learning outcomes as the secondary outcomes (objective 3)...
February 15, 2024: JMIR Medical Education
https://read.qxmd.com/read/38349725/learning-to-make-rare-and-complex-diagnoses-with-generative-ai-assistance-qualitative-study-of-popular-large-language-models
#17
JOURNAL ARTICLE
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff
BACKGROUND: Patients with rare and complex diseases often experience delayed diagnoses and misdiagnoses because comprehensive knowledge about these diseases is limited to only a few medical experts. In this context, large language models (LLMs) have emerged as powerful knowledge aggregation tools with applications in clinical decision support and education domains. OBJECTIVE: This study aims to explore the potential of 3 popular LLMs, namely Bard (Google LLC), ChatGPT-3...
February 13, 2024: JMIR Medical Education
https://read.qxmd.com/read/38345839/cocreating-an-automated-mhealth-apps-systematic-review-process-with-generative-ai-design-science-research-approach
#18
JOURNAL ARTICLE
Guido Giunti, Colin P Doherty
BACKGROUND: The use of mobile devices for delivering health-related services (mobile health [mHealth]) has rapidly increased, leading to a demand for summarizing the state of the art and practice through systematic reviews. However, the systematic review process is a resource-intensive and time-consuming process. Generative artificial intelligence (AI) has emerged as a potential solution to automate tedious tasks. OBJECTIVE: This study aimed to explore the feasibility of using generative AI tools to automate time-consuming and resource-intensive tasks in a systematic review process and assess the scope and limitations of using such tools...
February 12, 2024: JMIR Medical Education
https://read.qxmd.com/read/38335017/performance-of-chatgpt-on-the-chinese-postgraduate-examination-for-clinical-medicine-survey-study
#19
JOURNAL ARTICLE
Peng Yu, Changchang Fang, Xiaolin Liu, Wanying Fu, Jitao Ling, Zhiwei Yan, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Zhiteng Chen, Wengen Zhu, Yuling Zhang, Ayiguli Abudukeremu, Yue Wang, Xiao Liu, Jingfeng Wang
BACKGROUND: ChatGPT, an artificial intelligence (AI) based on large-scale language models, has sparked interest in the field of health care. Nonetheless, the capabilities of AI in text comprehension and generation are constrained by the quality and volume of available training data for a specific language, and the performance of AI across different languages requires further investigation. While AI harbors substantial potential in medicine, it is imperative to tackle challenges such as the formulation of clinical care standards; facilitating cultural transitions in medical education and practice; and managing ethical issues including data privacy, consent, and bias...
February 9, 2024: JMIR Medical Education
https://read.qxmd.com/read/38329802/comparison-of-the-performance-of-gpt-3-5-and-gpt-4-with-that-of-medical-students-on-the-written-german-medical-licensing-examination-observational-study
#20
JOURNAL ARTICLE
Annika Meyer, Janik Riese, Thomas Streichert
BACKGROUND: The potential of artificial intelligence (AI)-based large language models, such as ChatGPT, has gained significant attention in the medical field. This enthusiasm is driven not only by recent breakthroughs and improved accessibility, but also by the prospect of democratizing medical knowledge and promoting equitable health care. However, the performance of ChatGPT is substantially influenced by the input language, and given the growing public trust in this AI tool compared to that in traditional sources of information, investigating its medical accuracy across different languages is of particular importance...
February 8, 2024: JMIR Medical Education
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