H
Hamed Asadi
Researcher at Deakin University
Publications - 195
Citations - 4676
Hamed Asadi is an academic researcher from Deakin University. The author has contributed to research in topics: Medicine & Aneurysm. The author has an hindex of 34, co-authored 166 publications receiving 3179 citations. Previous affiliations of Hamed Asadi include Monash Medical Centre & Florey Institute of Neuroscience and Mental Health.
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Journal ArticleDOI
Tenecteplase versus Alteplase before Thrombectomy for Ischemic Stroke
Bruce C.V. Campbell,Peter Mitchell,Leonid Churilov,Nawaf Yassi,Timothy Kleinig,Richard Dowling,Bernard Yan,Steven Bush,Helen M Dewey,Vincent Thijs,Vincent Thijs,Rebecca Scroop,Marion Simpson,Mark Brooks,Hamed Asadi,Hamed Asadi,Hamed Asadi,Teddy Y. Wu,Teddy Y. Wu,Darshan Shah,Darshan Shah,Tissa Wijeratne,Timothy Ang,Ferdinand Miteff,Christopher R Levi,Edrich Rodrigues,Henry Zhao,Patrick Salvaris,Carlos Garcia-Esperon,Peter L. Bailey,Henry E. Rice,Laetitia de Villiers,Helen Brown,Kendal Redmond,David Leggett,John N. Fink,Wayne Collecutt,Andrew Wong,Claire Muller,Alan Coulthard,Ken Mitchell,John Clouston,Kate Mahady,Deborah Field,Henry Ma,Thanh G. Phan,Winston Chong,Ronil V. Chandra,Lee-Anne Slater,Martin Krause,Timothy Harrington,Timothy Harrington,Kenneth Faulder,Kenneth Faulder,Brendan Steinfort,Brendan Steinfort,Christopher F. Bladin,Christopher F. Bladin,Gagan Sharma,Patricia Desmond,Mark W Parsons,Geoffrey A. Donnan,Stephen M. Davis +62 more
TL;DR: Tenecteplase before thrombectomy was associated with a higher incidence of reperfusion and better functional outcome than alteplase among patients with ischemic stroke treated within 4.5 hours after symptom onset.
Journal ArticleDOI
eDoctor: machine learning and the future of medicine
TL;DR: An overview of the theory behind ML is provided, the common ML algorithms used in medicine including their pitfalls are explored and the potential future of ML in medicine is discussed.
Journal ArticleDOI
Optimizing Resources for Endovascular Clot Retrieval for Acute Ischemic Stroke, a Discrete Event Simulation.
Shiwei Huang,Julian Maingard,Hong Kuan Kok,Hong Kuan Kok,Christen D. Barras,Christen D. Barras,Vincent Thijs,Ronil V. Chandra,Ronil V. Chandra,Duncan Mark Brooks,Duncan Mark Brooks,Hamed Asadi +11 more
TL;DR: A general computational model of an ECR service, which can be used to optimize resource allocation for interventional treatment of acute ischemic stroke and large vessel occlusion is developed.
Journal ArticleDOI
Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy.
TL;DR: It is proposed that a robust machine learning system can potentially optimise the selection process for endovascular versus medical treatment in the management of acute stroke, with potential for incorporation of larger multicenter datasets, likely further improving prediction.
Journal ArticleDOI
Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods.
Guy S. Handelman,Hong Kuan Kok,Ronil V. Chandra,Amir Hossein Razavi,Shiwei Huang,Mark Brooks,Michael J. Lee,Hamed Asadi +7 more
TL;DR: Attention to sample size, overfitting, underfitting, cross validation, as well as a broad knowledge of the metrics of machine learning, can help those with little or no technical knowledge begin to assess machine learning studies.