A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
A. S. AlbahriIraqi Commission for Computers and Informatics (ICCI), Baghdad, IraqAli M. DuhaimMinistry of Education, ThiQar, IraqMohammed A. FadhelCollege of Computer Science and Information Technology, University of Sumer, Thi Qar , IraqAlhamzah AlnoorSouthern Technical University, Basrah, IraqNoor S. BaqerMinistry of Education, Baghdad, IraqLaith AlzubaidiARC Industrial Transformation Training Centre – Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, AustraliaO. S. AlbahriComputer Techniques Engineering Department, Mazaya University College, Nasiriyah, IraqA. H. AlamoodiFaculty of Computing and Meta-Technology (FKMT), Universiti Pendidikan Sultan Idris (UPSI), Perak, MalaysiaJinshuai BaiARC Industrial Transformation Training Centre – Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, AustraliaAsma SalhiAkunah Company for Medical Technology, Brisbane, QLD 4120, AustraliaJosé SantamaríaDepartment of Computer Science, University of Jaén, Jaén 23071, SpainChun OuyangSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD 4000, AustraliaAshish GuptaARC Industrial Transformation Training Centre – Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, AustraliaYuantong GuARC Industrial Transformation Training Centre – Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, AustraliaMuhammet DeveciDepartment of Industrial Engineering, Turkish Naval Academy, National Defence University, 34940, Tuzla, Istanbul, Turkey
2023en
ABI
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