K
Kevin Ray Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Lab Manager
staff
2 h-index
12 pubs
19 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Kevin Ray's research focuses on the application of technology and data analysis to improve healthcare quality and outcomes. He has investigated the impact of the COVID-19 pandemic on trauma admissions, using this data to evaluate compliance with public health guidelines. Ray has also explored the use of artificial intelligence and machine learning in medical diagnostics and clinical trials, specifically in assessing the quality of spirometry data for asthma and COPD patients. His work has extended to analyzing socioeconomic disparities in cancer clinical trials through machine learning. Ray has published a total of 12 papers, with an h-index of 2 and 19 citations. He has collaborated with Robin Ghosh on one shared publication. Ray's recent activity indicates continued engagement in research, with his latest publication in 2025.
Metrics
- h-index: 2
- Publications: 12
- Citations: 19
Selected Publications
-
Leveraging Machine Learning to Analyze Socioeconomic Disparities in U.S Cancer Clinical Trials (2025)
Collaboration Network
Top Collaborators
Nilakash Das
4 shared publications
- Artificial Intelligence Assists in Quality Assessment of Spirometry in Clinical Trials
- Real-world application of Spirometry Quality Control Deep-Learning Algorithm
- ArtiQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
- Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
Eva Topole
Chiesi (Italy) (IT)
3 shared publications
- Artificial Intelligence Assists in Quality Assessment of Spirometry in Clinical Trials
- ArtiQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
- Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
Sonia Biondaro
Chiesi (Italy) (IT)
3 shared publications
- Artificial Intelligence Assists in Quality Assessment of Spirometry in Clinical Trials
- ArtiQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
- Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
Isabella Montagna
Chiesi (Italy) (IT)
3 shared publications
- Artificial Intelligence Assists in Quality Assessment of Spirometry in Clinical Trials
- ArtiQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
- Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
S. Corre
Chiesi (Italy) (IT)
3 shared publications
- Artificial Intelligence Assists in Quality Assessment of Spirometry in Clinical Trials
- ArtiQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
- Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
Marko Topalovic
3 shared publications
- Artificial Intelligence Assists in Quality Assessment of Spirometry in Clinical Trials
- ArtiQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
- Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
Sanja Stanojevic
Dalhousie University (CA)
3 shared publications
- Real-world application of Spirometry Quality Control Deep-Learning Algorithm
- ArtiQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
- Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
Paras Savla
Riverside University Health System - Medical Center (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
James Wiginton
Riverside University Health System - Medical Center (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
Taha M Taka
Arrowhead Regional Medical Center (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
Tye Patchana
University of California, Riverside (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
Ronit Farahmandian
Arrowhead Regional Medical Center (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
Saman Farr
University of California, Riverside (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
James A Berry
Arrowhead Regional Medical Center (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
Mark Krel
Arrowhead Regional Medical Center (US)
1 shared publication
- Using the Decrease in Trauma Admissions During the COVID-19 Pandemic to Evaluate Compliance With Stay-at-Home and Social Distancing Guidelines
Similar Researchers
Based on overlapping research topics
Melody Greer
University of Arkansas for Medical Sciences
SARS-CoV-2 and COVID-19 Research
Advanced Neural Network Applications
Machine Learning Applications
Sunny Singh
University of Arkansas for Medical Sciences
SARS-CoV-2 and COVID-19 Research
Advanced Neural Network Applications
Machine Learning Applications
Saina Abolmaali
University of Central Arkansas
SARS-CoV-2 and COVID-19 Research
Advanced Neural Network Applications
Machine Learning Applications
Maryam Kheirandish
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Machine Learning Applications
Health Disparities and Outcomes
Samira Shirzaei
University of Central Arkansas
SARS-CoV-2 and COVID-19 Research
Advanced Neural Network Applications
Machine Learning Applications
Vidhya Sankarasubbu
Arkansas State University
SARS-CoV-2 and COVID-19 Research
Advanced Neural Network Applications
Machine Learning Applications