May Artificial Intelligence Influence Future Pediatric Research?-The Case of ChatGPT.
ChatGPT
artificial intelligence
clinical decision-making
pediatric research
predictive modeling
Journal
Children (Basel, Switzerland)
ISSN: 2227-9067
Titre abrégé: Children (Basel)
Pays: Switzerland
ID NLM: 101648936
Informations de publication
Date de publication:
21 Apr 2023
21 Apr 2023
Historique:
received:
13
03
2023
revised:
17
04
2023
accepted:
19
04
2023
medline:
16
5
2023
pubmed:
16
5
2023
entrez:
16
5
2023
Statut:
epublish
Résumé
In recent months, there has been growing interest in the potential of artificial intelligence (AI) to revolutionize various aspects of medicine, including research, education, and clinical practice. ChatGPT represents a leading AI language model, with possible unpredictable effects on the quality of future medical research, including clinical decision-making, medical education, drug development, and better research outcomes. In this interview with ChatGPT, we explore the potential impact of AI on future pediatric research. Our discussion covers a range of topics, including the potential positive effects of AI, such as improved clinical decision-making, enhanced medical education, faster drug development, and better research outcomes. We also examine potential negative effects, such as bias and fairness concerns, safety and security issues, overreliance on technology, and ethical considerations. While AI continues to advance, it is crucial to remain vigilant about the possible risks and limitations of these technologies and to consider the implications of these technologies and their use in the medical field. The development of AI language models represents a significant advancement in the field of artificial intelligence and has the potential to revolutionize daily clinical practice in every branch of medicine, both surgical and clinical. Ethical and social implications must also be considered to ensure that these technologies are used in a responsible and beneficial manner.
Sections du résumé
BACKGROUND
BACKGROUND
In recent months, there has been growing interest in the potential of artificial intelligence (AI) to revolutionize various aspects of medicine, including research, education, and clinical practice. ChatGPT represents a leading AI language model, with possible unpredictable effects on the quality of future medical research, including clinical decision-making, medical education, drug development, and better research outcomes.
AIM AND METHODS
OBJECTIVE
In this interview with ChatGPT, we explore the potential impact of AI on future pediatric research. Our discussion covers a range of topics, including the potential positive effects of AI, such as improved clinical decision-making, enhanced medical education, faster drug development, and better research outcomes. We also examine potential negative effects, such as bias and fairness concerns, safety and security issues, overreliance on technology, and ethical considerations.
CONCLUSIONS
CONCLUSIONS
While AI continues to advance, it is crucial to remain vigilant about the possible risks and limitations of these technologies and to consider the implications of these technologies and their use in the medical field. The development of AI language models represents a significant advancement in the field of artificial intelligence and has the potential to revolutionize daily clinical practice in every branch of medicine, both surgical and clinical. Ethical and social implications must also be considered to ensure that these technologies are used in a responsible and beneficial manner.
Identifiants
pubmed: 37190006
pii: children10040757
doi: 10.3390/children10040757
pmc: PMC10136583
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Nature. 2023 Jan;613(7944):423
pubmed: 36635510
Heart. 2022 May 25;108(12):909-916
pubmed: 34711662
Front Surg. 2022 Mar 14;9:862322
pubmed: 35360424
Brain Commun. 2020 Jul 09;2(2):fcaa096
pubmed: 33134913
Cureus. 2023 Feb 19;15(2):e35179
pubmed: 36811129
PLoS One. 2021 Feb 26;16(2):e0247404
pubmed: 33635890
Cancer Res. 2019 Nov 1;79(21):5463-5470
pubmed: 31395609
BMC Med Inform Decis Mak. 2021 Nov 9;21(Suppl 7):272
pubmed: 34753481
Crit Care. 2023 Feb 25;27(1):75
pubmed: 36841840
J Glob Health. 2023 Feb 17;13:01003
pubmed: 36798998