This paper is in the following e-collection/theme issue:

Tutorial (62) Chatbots and Conversational Agents (463) Artificial Intelligence (1198) e-Learning and Medical Education (648) Consumer & Patient Education and Shared-Decision Making (638) Learning and Education (62) Tutorials in Medical Education (4)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50638, first published .
Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

Authors of this article:

Bertalan Meskó1 Author Orcid Image
Article Authors Cited by (65) Tweetations (34) Metrics

Journals

  1. Meskó B. The Impact of Multimodal Large Language Models on Health Care’s Future. Journal of Medical Internet Research 2023;25:e52865 View
  2. Lund B. The prompt engineering librarian. Library Hi Tech News 2023;40(8):6 View
  3. Sallam M, Barakat M, Sallam M. Pilot Testing of a Tool to Standardize the Assessment of the Quality of Health Information Generated by Artificial Intelligence-Based Models. Cureus 2023 View
  4. Shu L, He Q, Yan B, Wu D, Wang M, Wang C, Zhang L. Human‐in‐the‐loop: Human involvement in enhancing medical inquiry performance in large language models. Allergy 2024;79(5):1348 View
  5. Sallam M, Al-Salahat K. Below average ChatGPT performance in medical microbiology exam compared to university students. Frontiers in Education 2023;8 View
  6. Sallam M, Al-Salahat K, Al-Ajlouni E. ChatGPT Performance in Diagnostic Clinical Microbiology Laboratory-Oriented Case Scenarios. Cureus 2023 View
  7. Non L. All aboard the ChatGPT steamroller: Top 10 ways to make artificial intelligence work for healthcare professionals. Antimicrobial Stewardship & Healthcare Epidemiology 2023;3(1) View
  8. Patil N, Huang R, Caterine S, Yao J, Larocque N, van der Pol C, Stubbs E. Artificial Intelligence Chatbots’ Understanding of the Risks and Benefits of Computed Tomography and Magnetic Resonance Imaging Scenarios. Canadian Association of Radiologists Journal 2024 View
  9. NYAABA M, ZHAI X. Generative AI Professional Development Needs for Teacher Educators. Journal of AI 2024;8(1):1 View
  10. Sallam M, Barakat M, Sallam M. METRICS: Establishing a Preliminary Checklist to Standardize the Design and Reporting of Generative Artificial Intelligence-Based Studies in Healthcare Education and Practice (Preprint). Interactive Journal of Medical Research 2023 View
  11. Mishra V, Sarraju A, Kalwani N, Dexter J. Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e55388 View
  12. Durieux B, Davis J, Moons P, Van Bulck L. How to get the most out of ChatGPT? Tips and tricks on prompting. European Journal of Cardiovascular Nursing 2024 View
  13. Wang L, Chen X, Deng X, Wen H, You M, Liu W, Li Q, Li J. Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs. npj Digital Medicine 2024;7(1) View
  14. Huber S, Kiili K, Nebel S, Ryan R, Sailer M, Ninaus M. Leveraging the Potential of Large Language Models in Education Through Playful and Game-Based Learning. Educational Psychology Review 2024;36(1) View
  15. Liu S, McCoy A, Wright A, Nelson S, Huang S, Ahmad H, Carro S, Franklin J, Brogan J, Wright A. Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support. Journal of the American Medical Informatics Association 2024;31(6):1388 View
  16. Ghanem Y, Rouhi A, Al-Houssan A, Saleh Z, Moccia M, Joshi H, Dumon K, Hong Y, Spitz F, Joshi A, Kwiatt M. Dr. Google to Dr. ChatGPT: assessing the content and quality of artificial intelligence-generated medical information on appendicitis. Surgical Endoscopy 2024;38(5):2887 View
  17. Chiu T, Ahmad Z, Ismailov M, Sanusi I. What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open 2024;6:100171 View
  18. Kaba E, Solak M, Çeliker F. The Role of Prompt Engineering in Radiology Applications of Generative AI. Academic Radiology 2024;31(6):2641 View
  19. Sarangi P, Mondal H. Response Generated by Large Language Models Depends on the Structure of the Prompt. Indian Journal of Radiology and Imaging 2024;34(03):574 View
  20. Chen J, Granet D. Prompt Engineering: Helping ChatGPT Respond Better to Patients and Parents. Journal of Pediatric Ophthalmology & Strabismus 2024;61(2):148 View
  21. Sewunetie W, Kovács L. Exploring Sentence Parsing: OpenAI API-Based and Hybrid Parser-Based Approaches. IEEE Access 2024;12:38801 View
  22. Kaba E, Vogl T. RE: Accuracy of Large Language Models in Answering ESUR Guidelines on Contrast Media-Related Questions. Academic Radiology 2024 View
  23. Caglayan A, Slusarczyk W, Rabbani R, Ghose A, Papadopoulos V, Boussios S. Large Language Models in Oncology: Revolution or Cause for Concern?. Current Oncology 2024;31(4):1817 View
  24. Huang Y, Wu R, He J, Xiang Y. Evaluating ChatGPT-4.0’s data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R. Journal of Global Health 2024;14 View
  25. Cheng J. Applications of Large Language Models in Pathology. Bioengineering 2024;11(4):342 View
  26. Lin K, Chen T, Lin M, Chen Y, Chen T. Integration and Assessment of ChatGPT in Medical Case Reporting: A Multifaceted Approach. European Journal of Investigation in Health, Psychology and Education 2024;14(4):888 View
  27. Artsi Y, Sorin V, Konen E, Glicksberg B, Nadkarni G, Klang E. Large language models for generating medical examinations: systematic review. BMC Medical Education 2024;24(1) View
  28. Frank J, Merseburger A, Landmesser J, Brozat-Essen S, Schramm P, Freimann L, Kleehaus A, Elsner C. Large Language Modelle zur schnellen Vereinfachung der Eingabe von Qualitätssicherungsdaten: Performance-Test mit Echtdaten am Beispiel der Tumordokumentation in der Urologie. Aktuelle Urologie 2024 View
  29. Zheng Y, Stewart N. Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT. Computers and Education: Artificial Intelligence 2024;6:100223 View
  30. Payne D, Purohit K, Borrero W, Chung K, Hao M, Mpoy M, Jin M, Prasanna P, Hill V. Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning. Academic Radiology 2024 View
  31. Braunheim D, Martin De Los Santos Kleinz L, Trierweiler L. Differences in source selection and their effect on the quality of written statements during a critical online reasoning performance assessment. Frontiers in Computer Science 2024;6 View
  32. Clark T, Fhaner M, Stoltzfus M, Queen M. Using ChatGPT to Support Lesson Planning for the Historical Experiments of Thomson, Millikan, and Rutherford. Journal of Chemical Education 2024;101(5):1992 View
  33. Chen J, Granet D. Further Reflections on the Use of Large Language Models in Pediatrics. JAMA Pediatrics 2024;178(6):629 View
  34. Yilmaz Muluk S. Enhancing Musculoskeletal Injection Safety: Evaluating Checklists Generated by Artificial Intelligence and Revising the Preformed Checklist. Cureus 2024 View
  35. Noda M, Yoshimura H, Okubo T, Koshu R, Uchiyama Y, Nomura A, Ito M, Takumi Y. Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation. JMIR AI 2024;3:e58342 View
  36. Cesur T, Güneş Y. Optimizing Diagnostic Performance of ChatGPT: The Impact of Prompt Engineering on Thoracic Radiology Cases. Cureus 2024 View
  37. Venerito V, Lalwani D, Del Vescovo S, Iannone F, Gupta L. Prompt engineering: The next big skill in rheumatology research. International Journal of Rheumatic Diseases 2024;27(5) View
  38. Habib M, Hoodbhoy Z, Siddiqui M, Silva J. Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan. PLOS Digital Health 2024;3(5):e0000443 View
  39. Perez-Lopez R, Ghaffari Laleh N, Mahmood F, Kather J. A guide to artificial intelligence for cancer researchers. Nature Reviews Cancer 2024;24(6):427 View
  40. Dos Santos F, Johnson L, Madandola O, Priola K, Yao Y, Macieira T, Keenan G. An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer. Journal of the American Medical Informatics Association 2024 View
  41. Laohawetwanit T, Apornvirat S, Kantasiripitak C. ChatGPT as a teaching tool: Preparing pathology residents for board examination with AI-generated digestive system pathology tests. American Journal of Clinical Pathology 2024 View
  42. Hassani H, Silva E. Predictions from Generative Artificial Intelligence Models: Towards a New Benchmark in Forecasting Practice. Information 2024;15(6):291 View
  43. Shukla A, Terziyan V, Tiihonen T. AI as a user of AI: Towards responsible autonomy. Heliyon 2024;10(11):e31397 View
  44. Wu Q, Wu Q, Li H, Wang Y, Bai Y, Wu Y, Yu X, Li X, Dong P, Xue J, Shen D, Wang M. Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study (Preprint). JMIR Medical Informatics 2023 View
  45. Leypold T, Lingens L, Beier J, Boos A. Integrating AI in Lipedema Management: Assessing the Efficacy of GPT-4 as a Consultation Assistant. Life 2024;14(5):646 View
  46. Wong K, Fayngersh A, Traba C, Cennimo D, Kothari N, Chen S. Using ChatGPT in the Development of Clinical Reasoning Cases: A Qualitative Study. Cureus 2024 View
  47. Collier Z, Gruss R, Abrahams A. How good are large language models at product risk assessment?. Risk Analysis 2024 View
  48. Sasson Lazovsky G, Raz T, Kenett Y. The Art of Creative Inquiry—From Question Asking to Prompt Engineering. The Journal of Creative Behavior 2024 View
  49. Brandt A. Amplifying the Anomaly: How Humans Choose Unproven Options and Large Language Models Avoid Them. Creativity Research Journal 2024:1 View
  50. Carius A, Teixeira A. Artificial Intelligence and content analysis: the large language models (LLMs) and the automatized categorization. AI & SOCIETY 2024 View
  51. Yao J, Aggarwal M, Lopez R, Namdari S. Current Concepts Review: Large Language Models in Orthopaedics. Journal of Bone and Joint Surgery 2024 View
  52. Maharjan J, Garikipati A, Singh N, Cyrus L, Sharma M, Ciobanu M, Barnes G, Thapa R, Mao Q, Das R. OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models. Scientific Reports 2024;14(1) View
  53. Stalp J, Denecke A, Jentschke M, Hillemanns P, Klapdor R. Quality of ChatGPT-Generated Therapy Recommendations for Breast Cancer Treatment in Gynecology. Current Oncology 2024;31(7):3845 View
  54. Wang J, Li J. Artificial intelligence empowering public health education: prospects and challenges. Frontiers in Public Health 2024;12 View
  55. Apornvirat S, Thinpanja W, Damrongkiet K, Benjakul N, Laohawetwanit T. Comparing customized ChatGPT and pathology residents in histopathologic description and diagnosis of common diseases. Annals of Diagnostic Pathology 2024;73:152359 View
  56. Miao Y, Luo Y, Zhao Y, Li J, Liu M, Wang H, Chen Y, Wu Y. Performance of GPT-4 on Chinese Nursing Examination. Nurse Educator 2024 View
  57. Li K, Fernandez A, Schwartz R, Rios N, Carlisle M, Amend G, Patel H, Breyer B. Comparing GPT-4 and Human Researchers in Qualitative Analysis of Healthcare Data: Qualitative Description Study (Preprint). Journal of Medical Internet Research 2024 View
  58. Oami T, Okada Y, Nakada T. Performance of a Large Language Model in Screening Citations. JAMA Network Open 2024;7(7):e2420496 View

Books/Policy Documents

  1. Hu Y, Kurylo A. The Role of Generative AI in the Communication Classroom. View
  2. Sarshartehrani F, Mohammadrezaei E, Behravan M, Gracanin D. Adaptive Instructional Systems. View
  3. Alter S. Enterprise, Business-Process and Information Systems Modeling. View