Page 108 - DP-2-1
P. 108
Design+ AI’s role in medical history taking
Availability of data Today and tomorrow. Front Med (Lausanne). 2020;7:27.
The interview transcripts are available on request from the doi: 10.3389/fmed.2020.00027
authors. 11. Sun Y. Modelling methods of artificial intelligence in
medical application. Appl Comput Eng. 2023;18:42-47.
References
doi: 10.54254/2755-2721/18/20230962
1. Baier J, Kovács-Ondrejkovic O, Zimmermann T, et al.
Changing Work Preferences in the Age of GenAI: Decoding 12. Zhu J, Valmianski I, Kannan A. Dialogue-contextualized
Global Talent; 2024. Available online: https://www.bcg. re-ranking for medical history-taking. Proc Mach Learn Res.
com/publications/2024/how-work-preferences-are- 2023;219:1-17.
shifting-in-the-age-of-genai?utm_campaign=digital- 13. Maicher KR, Stiff A, Scholl M, et al. Artificial intelligence in
t ransfor mat ion&ut m_content=202406&ut m_ virtual standardized patients: Combining natural language
des cr i p t io n=le ader s hi p_b y_desig n&u t m_ understanding and rule based dialogue management to
geo=global&utm_medium=email&utm_source=esp&utm_ improve conversational fidelity. Med Teach. 2022; 8:1-7.
t opic=p e op le_on_a i&ut m_u s er t o k en=CRM_
cc19cfbd1c3fb5ee91ce7f5a0f0c073d5e53d4a9&mkt_ doi: 10.1080/0142159X.2022.2130216.
tok=nzk5lulpqi04odmaaagt-n0gxfowmluduzuippwsgc0e_1e4 14. Hong G, Smith M, Lin S. The AI will see you now: Feasibility
ffu0clhb4rjo6kunnqhit8nr3lyjs1iqgrqgvti0h2bvsnn6yltbqio8r and acceptability of a conversational AI medical interviewing
a5k60lmmexjdvw5g9paar-U [Last accessed on 2025 Mar 08]. system. JMIR Form Res. 2022;6:e37028.
2. Golhar SP, Kekapure SS. Artificial intelligence in healthcare-a doi: 10.2196/37028
review. Int J Sci Res Sci Technol. 2022;9:381-387.
15. IEEE. 2023 27 International Conference Information
th
doi: 10.32628/IJSRST229454 Visualisation (IV). Tampere, Finland: IEEE; 2023.
3. Morrow E, Zidaru T, Ross F, et al. Artificial intelligence 16. Karpov OE, Pitsik EN, Kurkin SA, et al. Analysis of
technologies and compassion in healthcare: A systematic publication activity and research trends in the field of AI
scoping review. Front Psychol. 2022;13:971044. medical applications: Network approach. Int J Environ Res
doi: 10.3389/fpsyg.2022.971044 Public Health. 2023;20:5335.
4. Singhal M, Gupta L, Hirani K. A comprehensive analysis doi: 10.3390/ijerph20075335
and review of artificial intelligence in anaesthesia. Cureus. 17. Cheng ECK, Wang T, Schlippe T, Beligiannis GN, editors.
2023;15:e45038. Artificial Intelligence in Education Technologies: New
doi: 10.7759/cureus.45038 Development and Innovative Practices. Singapore: Springer
Nature Singapore; 2023.
5. Hashimoto DA, Witkowski E, Gao L, Meireles O, Rosman G.
Artificial intelligence in anesthesiology: Current techniques, 18. Yokoi R, Eguchi Y, Fujita T, Nakayachi K. Artificial
clinical applications, and limitations. Anesthesiology. intelligence is trusted less than a doctor in medical treatment
2020;132:379-394. decisions: Influence of perceived care and value similarity.
doi: 10.1097/ALN.0000000000002960. Int J Hum Comput Interact. 2021;37:981-990.
6. Zhou XY, Guo Y, Shen M, Yang GZ. Application of artificial doi: 10.1080/10447318.2020.1861763
intelligence in surgery. Front Med. 2020;14:417-430. 19. Grüne S. Medical history and physical examination. German
doi: 10.1007/s11684-020-0770-0. Med Weeklies. 2016;141:24-27.
7. Navarrete-Welton AJ, Hashimoto DA. Current applications doi: 10.1055/s-0041-106337
of artificial intelligence for intraoperative decision support 20. Zuin M, Rigatelli G, Zuliani G, Faggian G, Roncon L. The
in surgery. Front Med. 2020;14:369-381. secret of the questions: Medical interview in 21 century.
st
doi: 10.1007/s11684-020-0784-7. Eur J Intern Med. 2016;35:e21-e22.
8. Shalev-Shwartz S, Ben-David S. Understanding Machine doi: 10.1016/j.ejim.2016.06.032.
Learning: From Theory to Algorithms. Cambridge: 21. Westrin CG. The reliability of auto-anamnesis. A study of
Cambridge University Press; 2022. statements regarding low back trouble. Scand J Soc Med.
9. Segato A, Marzullo A, Calimeri F, Momi E. Artificial 1974;2:23-35.
intelligence for brain diseases: A systematic review. APL doi: 10.1177/140349487400200104
Bioeng. 2020;4:041503.
22. Yang YC, Islam SU, Noor A, Khan S, Afsar W, Nazir S.
doi: 10.1063/5.0011697
Influential usage of big data and artificial intelligence in
10. Briganti G, Le Moine O. Artificial intelligence in medicine: healthcare. Comput Math Methods Med. 2021;2021:5812499.
Volume 2 Issue 1 (2025) 11 doi: 10.36922/dp.7675

