Artificial intelligence in clinical decision support and outcome prediction – applications in stroke
Corresponding Author
Melissa Yeo
School of Medicine, University of Melbourne, Melbourne, Victoria, Australia
Correspondence
Dr Melissa Yeo, Ground Floor, Medical Building, Cnr Grattan Street & Royal Parade, University of Melbourne, Vic 3010, Australia.
Email: [email protected]
Search for more papers by this authorHong Kuan Kok
Interventional Radiology Service, Department of Radiology, Northern Health, Melbourne, Victoria, Australia
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Search for more papers by this authorNuman Kutaiba
Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorJulian Maingard
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia
Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
Search for more papers by this authorVincent Thijs
Stroke Theme, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
Department of Neurology, Austin Health, Melbourne, Victoria, Australia
Search for more papers by this authorBahman Tahayori
Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia
IBM Research Australia, Melbourne, Victoria, Australia
Search for more papers by this authorJeremy Russell
Department of Neurosurgery, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorAshu Jhamb
Department of Radiology, St Vincent’s Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorRonil V. Chandra
Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia
Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
Search for more papers by this authorMark Brooks
School of Medicine, University of Melbourne, Melbourne, Victoria, Australia
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Stroke Theme, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
Interventional Neuroradiology Service, Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorChristen D. Barras
South Australian Institute of Health and Medical Research, Adelaide, South Australia, Australia
School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
Search for more papers by this authorHamed Asadi
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia
Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
Stroke Theme, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
Department of Radiology, St Vincent’s Hospital, Melbourne, Victoria, Australia
Interventional Neuroradiology Service, Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorCorresponding Author
Melissa Yeo
School of Medicine, University of Melbourne, Melbourne, Victoria, Australia
Correspondence
Dr Melissa Yeo, Ground Floor, Medical Building, Cnr Grattan Street & Royal Parade, University of Melbourne, Vic 3010, Australia.
Email: [email protected]
Search for more papers by this authorHong Kuan Kok
Interventional Radiology Service, Department of Radiology, Northern Health, Melbourne, Victoria, Australia
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Search for more papers by this authorNuman Kutaiba
Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorJulian Maingard
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia
Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
Search for more papers by this authorVincent Thijs
Stroke Theme, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
Department of Neurology, Austin Health, Melbourne, Victoria, Australia
Search for more papers by this authorBahman Tahayori
Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia
IBM Research Australia, Melbourne, Victoria, Australia
Search for more papers by this authorJeremy Russell
Department of Neurosurgery, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorAshu Jhamb
Department of Radiology, St Vincent’s Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorRonil V. Chandra
Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia
Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
Search for more papers by this authorMark Brooks
School of Medicine, University of Melbourne, Melbourne, Victoria, Australia
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Stroke Theme, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
Interventional Neuroradiology Service, Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorChristen D. Barras
South Australian Institute of Health and Medical Research, Adelaide, South Australia, Australia
School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
Search for more papers by this authorHamed Asadi
School of Medicine, Faculty of Health, Deakin University, Burwood, Victoria, Australia
Interventional Neuroradiology Unit, Monash Health, Clayton, Victoria, Australia
Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
Stroke Theme, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
Department of Radiology, St Vincent’s Hospital, Melbourne, Victoria, Australia
Interventional Neuroradiology Service, Department of Radiology, Austin Hospital, Melbourne, Victoria, Australia
Search for more papers by this authorSummary
Artificial intelligence (AI) is making a profound impact in healthcare, with the number of AI applications in medicine increasing substantially over the past five years. In acute stroke, it is playing an increasingly important role in clinical decision-making. Contemporary advances have increased the amount of information – both clinical and radiological – which clinicians must consider when managing patients. In the time-critical setting of acute stroke, AI offers the tools to rapidly evaluate and consolidate available information, extracting specific predictions from rich, noisy data. It has been applied to the automatic detection of stroke lesions on imaging and can guide treatment decisions through the prediction of tissue outcomes and long-term functional outcomes. This review examines the current state of AI applications in stroke, exploring their potential to reform stroke care through clinical decision support, as well as the challenges and limitations which must be addressed to facilitate their acceptance and adoption for clinical use.
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