Skip to main content
Top
Literature
3.
go back to reference Szczesniewski JJ, Tellez Fouz C, Ramos Alba A, Diaz Goizueta FJ, García Tello A, Llanes González L (2023) ChatGPT and most frequent urological diseases: analysing the quality of information and potential risks for patients. World J Urol, 1–5. https://doi.org/10.1007/s00345-023-04563-0 Szczesniewski JJ, Tellez Fouz C, Ramos Alba A, Diaz Goizueta FJ, García Tello A, Llanes González L (2023) ChatGPT and most frequent urological diseases: analysing the quality of information and potential risks for patients. World J Urol, 1–5. https://​doi.​org/​10.​1007/​s00345-023-04563-0
4.
go back to reference Suppadungsuk S, Thongprayoon C, Krisanapan P, Tangpanithandee S, Garcia Valencia O, Miao J, Mekrasakit P, Kashani K, Cheungpasitporn W (2023) Examining the validity of ChatGPT in identifying relevant nephrology literature: findings and implications. J Clin Med 12(17):5550CrossRefPubMedPubMedCentral Suppadungsuk S, Thongprayoon C, Krisanapan P, Tangpanithandee S, Garcia Valencia O, Miao J, Mekrasakit P, Kashani K, Cheungpasitporn W (2023) Examining the validity of ChatGPT in identifying relevant nephrology literature: findings and implications. J Clin Med 12(17):5550CrossRefPubMedPubMedCentral
6.
go back to reference Gebrael G, Sahu KK, Chigarira B, Tripathi N, Mathew Thomas V, Sayegh N, Maughan BL, Agarwal N, Swami U, Li H (2023) Enhancing triage efficiency and accuracy in emergency rooms for patients with metastatic prostate cancer: a retrospective analysis of artificial intelligence-assisted triage using ChatGPT 4.0. Cancers 15(14):3717CrossRefPubMedPubMedCentral Gebrael G, Sahu KK, Chigarira B, Tripathi N, Mathew Thomas V, Sayegh N, Maughan BL, Agarwal N, Swami U, Li H (2023) Enhancing triage efficiency and accuracy in emergency rooms for patients with metastatic prostate cancer: a retrospective analysis of artificial intelligence-assisted triage using ChatGPT 4.0. Cancers 15(14):3717CrossRefPubMedPubMedCentral
7.
go back to reference Sarbay İ, Berikol GB, Özturan İU (2023) Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): a preliminary, scenario-based cross-sectional study. Turk J Emerg Med 23(3):156CrossRefPubMedPubMedCentral Sarbay İ, Berikol GB, Özturan İU (2023) Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): a preliminary, scenario-based cross-sectional study. Turk J Emerg Med 23(3):156CrossRefPubMedPubMedCentral
8.
go back to reference Coates PT (2023) Association of pretransplant coronary heart disease testing with early kidney transplant outcomes. Nature 614:214–216 Coates PT (2023) Association of pretransplant coronary heart disease testing with early kidney transplant outcomes. Nature 614:214–216
9.
go back to reference Lee G, Jeong CW (2023) Unleashing the potential: artificial intelligence in urology for enhanced diagnosis, treatment, and personalized care. Investig clin urol 64(4):307–309CrossRefPubMedPubMedCentral Lee G, Jeong CW (2023) Unleashing the potential: artificial intelligence in urology for enhanced diagnosis, treatment, and personalized care. Investig clin urol 64(4):307–309CrossRefPubMedPubMedCentral
10.
go back to reference Isha S, Shah SZ (2023) Use of artificial intelligence for analyzing kidney stone composition: are we there yet? Mayo Clin Proc: Digit Health 1(3):352–356 Isha S, Shah SZ (2023) Use of artificial intelligence for analyzing kidney stone composition: are we there yet? Mayo Clin Proc: Digit Health 1(3):352–356
Metadata
Title
ChatGPT’s competence in addressing urolithiasis: myth or reality?
Author
Partha Pratim Ray
Publication date
19-09-2023
Publisher
Springer Netherlands
Published in
International Urology and Nephrology / Issue 1/2024
Print ISSN: 0301-1623
Electronic ISSN: 1573-2584
DOI
https://doi.org/10.1007/s11255-023-03802-y

Other articles of this Issue 1/2024

International Urology and Nephrology 1/2024 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.