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Health Science Reports
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April 15, 2026
Explainability Challenges in Medical AI: The Conceptual Hidden Cost of Machine Learning Preprocessing
Ahmed M Salih
JAMA Cardiology
|
February 25, 2026
Opportunities, Challenges, and Validation Strategies to Advance Cardiovascular Research Using Population Cohorts
Ahmed M Salih, Adam J Lewandowski, Zahra Raisi-Estabragh
Health Science Reports
|
December 13, 2024
Explainable Artificial Intelligence in Paediatric: Challenges for the Future
Ahmed M Salih, Gloria Menegaz, Thillagavathie Pillay, et al.
Journal of the American Heart Association
|
January 31, 2024
Leukocyte Telomere Length and Cardiac Structure and Function: A Mendelian Randomization Study
Ahmed M Salih, Ilaria Boscolo Galazzo, Gloria Menegaz, et al.
F1000Research
|
May 15, 2026
Neutrosophic Extension of the New Odd Weibull-Inverse Weibull Distribution: Theory and Applications
Ahmed M Salih, Sara Khalaf, Kamal N Abdullah, et al.
Heart (British Cardiac Society)
|
June 27, 2025
Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementation
James P Howard, Qiang Zhang, Ahmed M Salih, et al.
IEEE Journal of Biomedical and Health Informatics
|
May 2, 2024
Characterizing the Contribution of Dependent Features in XAI Methods
Ahmed M Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, et al.
Artificial Intelligence Review
|
August 12, 2024
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed M Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
JBMR Plus
|
April 7, 2025
Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study
Ahmed M Salih, Dorina-Gabriela Condurache, Stefania D'Angelo, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
October 23, 2025
Genetic associations of plasma proteomics with dementia subtypes and neuroimaging markers
Ahmed M Salih, Janek Salatzki, Yuhe Wang, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Health Science Reports
|
April 15, 2026
Explainability Challenges in Medical AI: The Conceptual Hidden Cost of Machine Learning Preprocessing
Ahmed M Salih
JAMA Cardiology
|
February 25, 2026
Opportunities, Challenges, and Validation Strategies to Advance Cardiovascular Research Using Population Cohorts
Ahmed M Salih, Adam J Lewandowski, Zahra Raisi-Estabragh
Health Science Reports
|
December 13, 2024
Explainable Artificial Intelligence in Paediatric: Challenges for the Future
Ahmed M Salih, Gloria Menegaz, Thillagavathie Pillay, et al.
Journal of the American Heart Association
|
January 31, 2024
Leukocyte Telomere Length and Cardiac Structure and Function: A Mendelian Randomization Study
Ahmed M Salih, Ilaria Boscolo Galazzo, Gloria Menegaz, et al.
F1000Research
|
May 15, 2026
Neutrosophic Extension of the New Odd Weibull-Inverse Weibull Distribution: Theory and Applications
Ahmed M Salih, Sara Khalaf, Kamal N Abdullah, et al.
Heart (British Cardiac Society)
|
June 27, 2025
Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementation
James P Howard, Qiang Zhang, Ahmed M Salih, et al.
IEEE Journal of Biomedical and Health Informatics
|
May 2, 2024
Characterizing the Contribution of Dependent Features in XAI Methods
Ahmed M Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, et al.
Artificial Intelligence Review
|
August 12, 2024
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed M Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
JBMR Plus
|
April 7, 2025
Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study
Ahmed M Salih, Dorina-Gabriela Condurache, Stefania D'Angelo, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
October 23, 2025
Genetic associations of plasma proteomics with dementia subtypes and neuroimaging markers
Ahmed M Salih, Janek Salatzki, Yuhe Wang, et al.
Page
of 2