An Evaluation on Artificial Intelligence Guidelines in the Leading Clinical Pulmonology and Respiratory Medicine Journals: A Cross-Sectional Analysis

Nicholas Camasso; Ty Lutze; Daniel Archer; Logan Corwin; Zohaib Thayani; Andrew Tran; Patrick Crotty; Alec Young; Alicia Ford; Matt Vassar

An Evaluation on Artificial Intelligence Guidelines in the Leading Clinical Pulmonology and Respiratory Medicine Journals: A Cross-Sectional Analysis

Nicholas Camasso, Ty Lutze, Daniel Archer, Logan Corwin, Zohaib Thayani, Andrew Tran, Patrick Crotty, Alec Young, Alicia Ford, Matt Vassar

Research output: Contribution to conference › Poster › peer-review

Original language	American English
State	Published - 14 Feb 2025
Event	Oklahoma State University Center for Health Sciences Research Week 2025 - Oklahoma State University Center for Health Sciences, Tulsa, United States Duration: 10 Feb 2025 → 14 Feb 2025 https://medicine.okstate.edu/research/research_days.html

Conference

Conference	Oklahoma State University Center for Health Sciences Research Week 2025
Country/Territory	United States
City	Tulsa
Period	10/02/25 → 14/02/25
Internet address	https://medicine.okstate.edu/research/research_days.html

Keywords

Artificial Intelligence
reporting guidelines
pulmonology and respiratory medicine
transparency
authorship

Access to Document

https://hdl.handle.net/20.500.14446/346096

Cite this

Camasso, N., Lutze, T., Archer, D., Corwin, L., Thayani, Z., Tran, A., Crotty, P., Young, A., Ford, A., & Vassar, M. (2025). An Evaluation on Artificial Intelligence Guidelines in the Leading Clinical Pulmonology and Respiratory Medicine Journals: A Cross-Sectional Analysis. Poster session presented at Oklahoma State University Center for Health Sciences Research Week 2025, Tulsa, Oklahoma, United States. https://hdl.handle.net/20.500.14446/346096

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author = "Nicholas Camasso and Ty Lutze and Daniel Archer and Logan Corwin and Zohaib Thayani and Andrew Tran and Patrick Crotty and Alec Young and Alicia Ford and Matt Vassar",

year = "2025",

month = feb,

day = "14",

language = "American English",

note = "Oklahoma State University Center for Health Sciences Research Week 2025 ; Conference date: 10-02-2025 Through 14-02-2025",

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Camasso, N , Lutze, T , Archer, D , Corwin, L , Thayani, Z , Tran, A , Crotty, P , Young, A , Ford, A & Vassar, M 2025, 'An Evaluation on Artificial Intelligence Guidelines in the Leading Clinical Pulmonology and Respiratory Medicine Journals: A Cross-Sectional Analysis', Oklahoma State University Center for Health Sciences Research Week 2025, Tulsa, United States, 10/02/25 - 14/02/25. <https://hdl.handle.net/20.500.14446/346096>

An Evaluation on Artificial Intelligence Guidelines in the Leading Clinical Pulmonology and Respiratory Medicine Journals: A Cross-Sectional Analysis. / Camasso, Nicholas ; Lutze, Ty ; Archer, Daniel et al.
2025. Poster session presented at Oklahoma State University Center for Health Sciences Research Week 2025, Tulsa, Oklahoma, United States.

Research output: Contribution to conference › Poster › peer-review

TY - CONF

T1 - An Evaluation on Artificial Intelligence Guidelines in the Leading Clinical Pulmonology and Respiratory Medicine Journals: A Cross-Sectional Analysis

AU - Camasso, Nicholas

AU - Lutze, Ty

AU - Archer, Daniel

AU - Corwin, Logan

AU - Thayani, Zohaib

AU - Tran, Andrew

AU - Crotty, Patrick

AU - Young, Alec

AU - Ford, Alicia

AU - Vassar, Matt

PY - 2025/2/14

Y1 - 2025/2/14

KW - Artificial Intelligence

KW - reporting guidelines

KW - pulmonology and respiratory medicine

KW - transparency

KW - authorship

M3 - Poster

T2 - Oklahoma State University Center for Health Sciences Research Week 2025

Y2 - 10 February 2025 through 14 February 2025

ER -