A Blueprint for an AI & AR-Based Eye Tracking System to Train Cardiology Professionals Better Interpret Electrocardiograms

Mohammed Tahri Sqalli, Dena Al-Thani, Mohamed B. Elshazly, Mohammed Al-Hijji. A Blueprint for an AI & AR-Based Eye Tracking System to Train Cardiology Professionals Better Interpret Electrocardiograms. In Nilufar Baghaei, Julita Vassileva, Raian Ali, Kiemute Oyibo, editors, Persuasive Technology - 17th International Conference, PERSUASIVE 2022, Virtual Event, March 29-31, 2022, Proceedings. Volume 13213 of Lecture Notes in Computer Science, pages 221-229, Springer, 2022. [doi]

@inproceedings{SqalliAEA22,
  title = {A Blueprint for an AI & AR-Based Eye Tracking System to Train Cardiology Professionals Better Interpret Electrocardiograms},
  author = {Mohammed Tahri Sqalli and Dena Al-Thani and Mohamed B. Elshazly and Mohammed Al-Hijji},
  year = {2022},
  doi = {10.1007/978-3-030-98438-0_17},
  url = {https://doi.org/10.1007/978-3-030-98438-0_17},
  researchr = {https://researchr.org/publication/SqalliAEA22},
  cites = {0},
  citedby = {0},
  pages = {221-229},
  booktitle = {Persuasive Technology - 17th International Conference, PERSUASIVE 2022, Virtual Event, March 29-31, 2022, Proceedings},
  editor = {Nilufar Baghaei and Julita Vassileva and Raian Ali and Kiemute Oyibo},
  volume = {13213},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-98438-0},
}