Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion.

Autor: Alzubaidi L; School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; Research and Development department, Akunah Med Technology Pty Ltd Co, Brisbane, QLD 4120, Australia. Electronic address: l.alzubaidi@qut.edu.au., Al-Dulaimi K; Computer Science Department, College of Science, Al-Nahrain University, Baghdad, Baghdad 10011, Iraq; School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD 4000, Australia., Salhi A; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; Research and Development department, Akunah Med Technology Pty Ltd Co, Brisbane, QLD 4120, Australia., Alammar Z; School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000, Australia., Fadhel MA; Research and Development department, Akunah Med Technology Pty Ltd Co, Brisbane, QLD 4120, Australia., Albahri AS; Technical College, Imam Ja'afar Al-Sadiq University, Baghdad, Iraq., Alamoodi AH; Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Kajang 43000, Malaysia., Albahri OS; Australian Technical and Management College, Melbourne, Australia., Hasan AF; Faculty of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA., Bai J; School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia., Gilliland L; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; Research and Development department, Akunah Med Technology Pty Ltd Co, Brisbane, QLD 4120, Australia., Peng J; Research and Development department, Akunah Med Technology Pty Ltd Co, Brisbane, QLD 4120, Australia., Branni M; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; Research and Development department, Akunah Med Technology Pty Ltd Co, Brisbane, QLD 4120, Australia., Shuker T; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; St Andrew's War Memorial Hospital, Brisbane, QLD 4000, Australia., Cutbush K; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; St Andrew's War Memorial Hospital, Brisbane, QLD 4000, Australia., Santamaría J; Department of Computer Science, University of Jaén, Jaén 23071, Spain., Moreira C; Data Science Institute, University of Technology Sydney, Australia., Ouyang C; School of Information Systems, Queensland University of Technology, Brisbane, QLD 4000, Australia., Duan Y; School of Computing, Clemson University, Clemson, 29631, SC, USA., Manoufali M; CSIRO, Kensington, WA 6151, Australia; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4067, Australia., Jomaa M; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; St Andrew's War Memorial Hospital, Brisbane, QLD 4000, Australia., Gupta A; School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia; Research and Development department, Akunah Med Technology Pty Ltd Co, Brisbane, QLD 4120, Australia., Abbosh A; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4067, Australia., Gu Y; School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; QUASR/ARC Industrial Transformation Training Centre-Joint Biomechanics, Queensland University of Technology, Brisbane, QLD 4000, Australia.

Publikováno v: Artificial intelligence in medicine [Artif Intell Med] 2024 Sep; Vol. 155, pp. 102935. Date of Electronic Publication: 2024 Jul 25.

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review.

Autor: Al-Hamadani MNA; Department of Data Science and Visualization, Faculty of Informatics, University of Debrecen, H-4032 Debrecen, Hungary.; Doctoral School of Informatics, University of Debrecen, H-4032 Debrecen, Hungary.; Department of Electronic Techniques, Technical Institute/Alhawija, Northern Technical University, 36001 Kirkuk, Iraq., Fadhel MA; Research and Development Department, Akunah Company, Brisbane, QLD 4120, Australia., Alzubaidi L; Research and Development Department, Akunah Company, Brisbane, QLD 4120, Australia.; School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia.; Centre for Data Science, Queensland University of Technology, Brisbane, QLD 4000, Australia., Balazs H; Department of Data Science and Visualization, Faculty of Informatics, University of Debrecen, H-4032 Debrecen, Hungary.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Apr 11; Vol. 24 (8). Date of Electronic Publication: 2024 Apr 11.

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study.

Autor: Alzubaidi L; School of Computer Science, Queensland University of Technology, Brisbane, Queensland, Australia.; AlNidhal Campus, University of Information Technology & Communications, Baghdad, Baghdad, Iraq., Duan Y; Faculty of Electrical Engineering & Computer Science, University of Missouri - Columbia, Columbia, Missouri, United States., Al-Dujaili A; Electrical Engineering Technical College, Middle Technical University, Baghdad, Baghdad, Iraq., Ibraheem IK; Department of Electrical Engineering, College of Engineering, University of Baghdad, Baghdad, Baghdad, Iraq., Alkenani AH; School of Computer Science, Queensland University of Technology, Brisbane, Queensland, Australia.; The Australian E-Health Research Centre, CSIRO, Brisbane, Queensland, Australia., Santamaría J; Department of Computer Science, University of Jaén, Jaén, Jaén, Spain., Fadhel MA; College of Computer Science and Information Technology, University of Sumer, Rafia, Thi Qar, Iraq., Al-Shamma O; AlNidhal Campus, University of Information Technology & Communications, Baghdad, Baghdad, Iraq., Zhang J; School of Computer Science, Queensland University of Technology, Brisbane, Queensland, Australia.

Publikováno v: PeerJ. Computer science [PeerJ Comput Sci] 2021 Sep 28; Vol. 7, pp. e715. Date of Electronic Publication: 2021 Sep 28 (Print Publication: 2021).

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.

Autor: Alzubaidi L; School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000 Australia.; AlNidhal Campus, University of Information Technology & Communications, Baghdad, 10001 Iraq., Zhang J; School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000 Australia., Humaidi AJ; Control and Systems Engineering Department, University of Technology, Baghdad, 10001 Iraq., Al-Dujaili A; Electrical Engineering Technical College, Middle Technical University, Baghdad, 10001 Iraq., Duan Y; Faculty of Electrical Engineering & Computer Science, University of Missouri, Columbia, MO 65211 USA., Al-Shamma O; AlNidhal Campus, University of Information Technology & Communications, Baghdad, 10001 Iraq., Santamaría J; Department of Computer Science, University of Jaén, 23071 Jaén, Spain., Fadhel MA; College of Computer Science and Information Technology, University of Sumer, Thi Qar, 64005 Iraq., Al-Amidie M; Faculty of Electrical Engineering & Computer Science, University of Missouri, Columbia, MO 65211 USA., Farhan L; School of Engineering, Manchester Metropolitan University, Manchester, M1 5GD UK.

Publikováno v: Journal of big data [J Big Data] 2021; Vol. 8 (1), pp. 53. Date of Electronic Publication: 2021 Mar 31.