BABY STEPS IN ARTIFICIAL INTELLIGENCE: DEVELOPMENT OF A JOS CARDIOVASCULAR DISEASE RISK APP TO IMPROVE SCREENING FOR CARDIOVASCULAR DISEASES.

We found that with sub-clinical atherosclerosis indexed by carotid intima-media thickness as standard, our new Jos App as well as the Framingham Risk score correlated positively and significantly. However, interestingly the level of correlation was higher with our new risk estimation App. We have input this into smart devices for pilot clinical studies.

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PubMed
Published
2024-11-10
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
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article

BABY STEPS IN ARTIFICIAL INTELLIGENCE: DEVELOPMENT OF A JOS CARDIOVASCULAR DISEASE RISK APP TO IMPROVE SCREENING FOR CARDIOVASCULAR DISEASES.

David E. Oguche, Nentawe Gurumdimma, Anil Sirisena, Basil Nwaneri Okeahialam
PubMed
Artificial Intelligence in Healthcare and Education
article

BABY STEPS IN ARTIFICIAL INTELLIGENCE: DEVELOPMENT OF A JOS CARDIOVASCULAR DISEASE RISK APP TO IMPROVE SCREENING FOR CARDIOVASCULAR DISEASES.

David E. Oguche, Nentawe Gurumdimma, Anil Sirisena, Basil Nwaneri Okeahialam
article en

Abstract

We found that with sub-clinical atherosclerosis indexed by carotid intima-media thickness as standard, our new Jos App as well as the Framingham Risk score correlated positively and significantly. However, interestingly the level of correlation was higher with our new risk estimation App. We have input this into smart devices for pilot clinical studies.

PubMedVol. 41(11 Suppl 1)
University of Jos (NG)
Openalex Percentile: Top 85%
Artificial Intelligence in Healthcare and Education
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