ChatGPT and its application in the field of mental health.
Open accessAbstract
Abstract Chat generative pretrained transformer (ChatGPT) was designed by American start-up OpenAI designed in 2015, since its formal introduction on December 6, 2022 it had 1 million users in just more than a month and has become a hot topic of discussion. It will be interesting to find through research work whether ChatGPT can provide us with a comprehensive search and supersedes its earlier competitors such as Google Assistant, Alexa, and Siri. It was beyond wild imagination to everyone how the conversational robot was capable of understanding questions and answering them with superb accuracy. The application of ChatGPT in the field of medical sciences is intriguing and promises to open a new arena. As other systems of communication, Chatbot should be applied in medical sciences maintaining ethical concerns and remembering that, at times, ChatGPT can give inaccurate and wrong answers.
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ChatGPT has proven to lack the diagnostic skills and flexibility required by a therapist during human interaction.
“Contrarywise, it has proven to lack “the diagnostic skills and flexibility required by a therapist during human interaction” (41).”
From ChatGPT is not ready yet for use in providing mental health assessment and interventions (2024) · cites this paper as [41]
ChatGPT has the potential to act in a therapeutic role.
“suggesting it has the potential to act in a therapeutic role (41).”
From ChatGPT is not ready yet for use in providing mental health assessment and interventions (2024) · cites this paper as [41]
Cites
fastp: an ultra-fast all-in-one FASTQ preprocessor
(2018) · doi:10.1093/bioinformatics/bty560 · Cited by 29,721 · see citing works
Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education · doi:10.2196/45312 · Cited by 2,078 · see citing works
Cascella, M., Montomoli, J., Bellini, V., & Bignami, E. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-01925-4 · Cited by 1,120 · see citing works
Alexa, Siri, Cortana, and more: An introduction to voice assistants.
Hoy, M. B. (2018) · Medical Reference Services Quarterly · doi:10.1080/02763869.2018.1404391 · Cited by 965 · see citing works
Can artificial intelligence help for scientific writing?
Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023) · Critical Care · doi:10.1186/s13054-023-04380-2 · Cited by 827 · see citing works
Machine learning and natural language processing in mental health: systematic review
Le Glaz, A., Haralambous, Y., Kim-Dufor, D.-H., Lenca, P., Billot, R., Ryan, T. C., Marsh, J., DeVylder, J., Walter, M., Berrouiguet, S., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/15708 · Cited by 576 · see citing works
Over-optimization of academic publishing metrics: observing Goodhart's Law in action
Fire, M., & Guestrin, C. (2019) · GigaScience · doi:10.1093/gigascience/giz053 · Cited by 351 · see citing works
Chatterjee, J., & Dethlefs, N. (2023) · Patterns · doi:10.1016/j.patter.2022.100676 · Cited by 263 · see citing works
Can ChatGPT draft a research article? An example of population-level vaccine effectiveness analysis
Macdonald, C., Adeloye, D., Sheikh, A., & Rudan, I. (2023) · Journal of Global Health · doi:10.7189/jogh.13.01003 · Cited by 243 · see citing works
Artificial Intelligence in Medicine & ChatGPT: De-Tether the Physician
DiGiorgio, A. M., & Ehrenfeld, J. M. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-01926-3 · Cited by 82 · see citing works
Deep Learning in Diverse Intelligent Sensor Based Systems
Zhu, Y., Wang, M., Yin, X., Zhang, J., Meijering, E. H. W., & Hu, J. (2022) · Sensors · doi:10.3390/s23010062 · Cited by 67 · see citing works
Mirzababaei, B., & Pammer-Schindler, V. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.645516 · Cited by 14 · see citing works
CFX: Contention-Free Channel Access for IEEE 802.11ax
Lee, K.-H., & Kim, D. (2022) · Sensors · doi:10.3390/s22239114 · Cited by 1 · see citing works
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Sohail, S. S., Farhat, F., Himeur, Y., Nadeem, M., Madsen, D. Ø., Singh, Y., Atalla, S., & Mansoor, W. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.101675 · Cited by 192 · see citing works
ChatGPT is not ready yet for use in providing mental health assessment and interventions
Dergaa, I., Fekih-Romdhane, F., Hallit, S., Loch, A. A., Glenn, J. M., Fessi, M. S., Ben Aissa, M., Souissi, N., Guelmami, N., Swed, S., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1277756 · Cited by 125 · see citing works
- Authors
- Bhattacharyya, R., Chakraborty, K., & Neogi, R.
- Affiliations
- Murshidabad Medical College and Hospital (IN)
- College of Medicine & JNM Hospital (IN)
- R. G. Kar Medical College and Hospital (IN)
- Corresponding author
- Bhattacharyya, Ranjan
- ORCID
- Chakraborty, Kaustav
- Venue
- Journal of SAARC Psychiatric Federation
- Published
- 2023-01
- Volume
- 1
- Issue
- 1
- Pages
- 6-10
- ISSN
- 3050-6301 (ISSN-L)
- 3050-631X
- OpenAlex
- W4372052843
- Cited by
- 12
- References
- 13
- Citations by year
- 2025: 1 · 2024: 5 · 2023: 6
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Journal of SAARC Psychiatric Federation (publishedVersion, cc-by-nc-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- ChatGPT, large language models, mental health, chatbots, medical applications of AI, AI ethics, AI response accuracy
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