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

Viewpoints and Perspectives (521) Medical imaging (30) Artificial Intelligence (1400) Theme Issue: ChatGPT and Generative Language Models in Medical Education (86)

Published on in Vol 25 (2023)

This is a member publication of Charite - Universitaetsmedizin Berlin, Medizinische Bibliothek, Germany

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43110, first published .
What Does DALL-E 2 Know About Radiology?

What Does DALL-E 2 Know About Radiology?

What Does DALL-E 2 Know About Radiology?

Authors of this article:

Lisa C Adams1, 2 Author Orcid Image ;   Felix Busch1 Author Orcid Image ;   Daniel Truhn3 Author Orcid Image ;   Marcus R Makowski4 Author Orcid Image ;   Hugo J W L Aerts5, 6 Author Orcid Image ;   Keno K Bressem1, 5, 6 Author Orcid Image
Article Authors Cited by (34) Tweetations (23) Metrics

Journals

  1. Skulmowski A. Ethical issues of educational virtual reality. Computers & Education: X Reality 2023;2:100023 View
  2. Ali R, Tang O, Connolly I, Abdulrazeq H, Mirza F, Lim R, Johnston B, Groff M, Williamson T, Svokos K, Libby T, Shin J, Gokaslan Z, Doberstein C, Zou J, Asaad W. Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators. JAMA Surgery 2024;159(1):87 View
  3. Choudhry H, Toor U, Sanchez A, Mian S. Perception of Race and Sex Diversity in Ophthalmology by Artificial Intelligence: A DALL E-2 Study. Clinical Ophthalmology 2023;Volume 17:2889 View
  4. Noel G. Evaluating AI‐powered text‐to‐image generators for anatomical illustration: A comparative study. Anatomical Sciences Education 2024;17(5):979 View
  5. Zhang P, Kamel Boulos M. Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges. Future Internet 2023;15(9):286 View
  6. Kumar A, Burr P, Young T. Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome. JMIR Medical Education 2024;10:e52155 View
  7. Ellis R. The Education Leadership Challenges for Universities in a Postdigital Age. Postdigital Science and Education 2024 View
  8. Umer F, Adnan N. Generative artificial intelligence: synthetic datasets in dentistry. BDJ Open 2024;10(1) View
  9. Traboco L. Class‐Rheum for AI: Reflections from a Filipino Rheumatologist and Health Informatics graduate student. International Journal of Rheumatic Diseases 2024;27(3) View
  10. Phillips C, Jiao J, Clubb E. Testing the Capability of AI Art Tools for Urban Design. IEEE Computer Graphics and Applications 2024;44(2):37 View
  11. da Mota Santana L, do Nascimento-Júnior E, Floresta L, Alves Ê, dos Santos Barreto M, dos Santos J, Valadares C, Roque-Torres G, Gopalsamy R, Martins-Filho P, Borges L. Revolutionizing oral and maxillofacial surgery: The role of DALL-E's AI-generated realistic images in enhancing surgical precision. Journal of Stomatology, Oral and Maxillofacial Surgery 2024;125(5):101874 View
  12. Sapkota R, Ahmed D, Karkee M. Synthetic Meets Authentic: Leveraging Text-to-Image Generated Datasets for Apple Detection in Orchard Environments. SSRN Electronic Journal 2024 View
  13. Han Q, Wang H, Wang J. Multi‐Mode/Signal Biosensors: Electrochemical Integrated Sensing Techniques. Advanced Functional Materials 2024 View
  14. Temsah M, Alhuzaimi A, Almansour M, Aljamaan F, Alhasan K, Batarfi M, Altamimi I, Alharbi A, Alsuhaibani A, Alwakeel L, Alzahrani A, Alsulaim K, Jamal A, Khayat A, Alghamdi M, Halwani R, Khan M, Al-Eyadhy A, Nazer R. Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases. Journal of Medical Systems 2024;48(1) View
  15. Oettl F, Pareek A, Winkler P, Zsidai B, Pruneski J, Senorski E, Kopf S, Ley C, Herbst E, Oeding J, Grassi A, Hirschmann M, Musahl V, Samuelsson K, Tischer T, Feldt R. A practical guide to the implementation of AI in orthopaedic research, Part 6: How to evaluate the performance of AI research?. Journal of Experimental Orthopaedics 2024;11(3) View
  16. Currie G, Hawk K, Rohren E. Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations. Seminars in Nuclear Medicine 2024 View
  17. Sonmez S, Sevgi M, Antaki F, Huemer J, Keane P. Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges. British Journal of Ophthalmology 2024;108(10):1335 View
  18. Villanueva-Miranda I, Rong R, Quan P, Wen Z, Zhan X, Yang D, Chi Z, Xie Y, Xiao G. Enhancing Medical Imaging Segmentation with GB-SAM: A Novel Approach to Tissue Segmentation Using Granular Box Prompts. Cancers 2024;16(13):2391 View
  19. Katirai A, Garcia N, Ide K, Nakashima Y, Kishimoto A. Situating the social issues of image generation models in the model life cycle: a sociotechnical approach. AI and Ethics 2024 View
  20. Kashefi A. A MISLEADING GALLERY OF FLUID MOTION BY GENERATIVE ARTIFICIAL INTELLIGENCE. Journal of Machine Learning for Modeling and Computing 2024;5(2):113 View
  21. Qin S, Chislett B, Ischia J, Ranasinghe W, de Silva D, Coles‐Black J, Woon D, Bolton D. ChatGPT and generative AI in urology and surgery—A narrative review. BJUI Compass 2024 View
  22. Arun G, Perumal V, Urias F, Ler Y, Tan B, Vallabhajosyula R, Tan E, Ng O, Ng K, Mogali S. ChatGPT versus a customized AI chatbot (Anatbuddy) for anatomy education: A comparative pilot study. Anatomical Sciences Education 2024;17(7):1396 View
  23. Petroff D, Nasir A, Moin K, Loveless B, Moshirfar O, Hoopes P, Moshirfar M. Evaluating the Accuracy of Artificial Intelligence (AI)-Generated Illustrations for Laser-Assisted In Situ Keratomileusis (LASIK), Photorefractive Keratectomy (PRK), and Small Incision Lenticule Extraction (SMILE). Cureus 2024 View
  24. Lim S, Kooper-Johnson S, Chau C, Robinson S, Cobos G. Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis. Cureus 2024 View
  25. Moin K, Nasir A, Petroff D, Loveless B, Moshirfar O, Hoopes P, Moshirfar M. Assessment of Generative Artificial Intelligence (AI) Models in Creating Medical Illustrations for Various Corneal Transplant Procedures. Cureus 2024 View
  26. Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. Minds and Machines 2024;34(4) View
  27. Sapkota R, Meng Z, Karkee M. Synthetic meets authentic: Leveraging LLM generated datasets for YOLO11 and YOLOv10-based apple detection through machine vision sensors. Smart Agricultural Technology 2024;9:100614 View
  28. Mai M, Mirza F, DiMarco C. Application of text-to-image translation algorithms in medicine: A systematic review. JAAD Reviews 2024;2:88 View
  29. Deliyannis E. Understanding hair disorders through artificial intelligence: DALLE's role in image creation. Clinical and Experimental Dermatology 2024 View
  30. Muhr P, Pan Y, Tumescheit C, Kübler A, Parmaksiz H, Chen C, Bolaños Orozco P, Lienkamp S, Hastings J. Evaluating Text-to-Image Generated Photorealistic Images of Human Anatomy. Cureus 2024 View
  31. Wu Y, Ma L, Li X, Yang J, Rao X, Hu Y, Xi J, Tao L, Wang J, Du L, Chen G, Liu S. The role of artificial intelligence in drug screening, drug design, and clinical trials. Frontiers in Pharmacology 2024;15 View
  32. Shiraishi M, Banda C, Nakajima M, Nakazwe M, Wong Z, Tomioka Y, Moriwaki Y, Takeishi H, Lee H, Kurita D, Furuse K, Ohba J, Fujisawa K, Miyamoto S, Okazaki M. Gender and racial diversity Assumed by text-to-image generators in microsurgery and plastic surgery-related subspecialities. Journal of Hand and Microsurgery 2025;17(1):100196 View

Books/Policy Documents

  1. Sial Q, Shah I, Jhanjhi N. Generative AI Techniques for Sustainability in Healthcare Security. View