Ryan L. Melvin

According to our database, Ryan L. Melvin authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study.

Andrew B. Barker, Ryan L. Melvin, Ryan Godwin, David Benz, Brant M. Wagener

J. Medical Syst., December, 2024

IRB-draft-generator: A generative AI tool to streamline the creation of institutional review board applications.

Ryan Godwin, Ayesha S. Bryant, Brant M. Wagener, Timothy J. Ness, Jennifer J. DeBerry, LaShun L. Horn, Shanna H. Graves, Ashley C. Archer, Ryan L. Melvin

SoftwareX, February, 2024

Toward efficient data science: A comprehensive MLOps template for collaborative code development and automation.

Ryan Godwin, Ryan L. Melvin

SoftwareX, 2024

Grant drafting support with guided generative AI software.

Ryan Godwin, Jennifer J. DeBerry, Brant M. Wagener, Dan E. Berkowitz, Ryan L. Melvin

SoftwareX, 2024

Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine.

Henry J. Paiste, Ryan Godwin, Andrew D. Smith, Dan E. Berkowitz, Ryan L. Melvin

Frontiers Digit. Health, 2024

2022

Artificial Intelligence in Perioperative Medicine: A Proposed Common Language With Applications to FDA-Approved Devices.

Ryan L. Melvin, Matthew G. Broyles, Elizabeth W. Duggan, Sonia John, Andrew D. Smith, Dan E. Berkowitz

Frontiers Digit. Health, 2022

2021

Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data.

Tarun Karthik Kumar Mamidi, Thi K. Tran-Nguyen, Ryan L. Melvin, Elizabeth A. Worthey

Frontiers Big Data, 2021