Development and validation of clinico-imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy.
Saved in:
| Title: | Development and validation of clinico-imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy. |
|---|---|
| Authors: | Nazem-Zadeh MR; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran., Chang RS; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia., Barnard S; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., Pardoe HR; Imaging and Epilepsy Group, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia., Kuzniecky R; Northwell Health, New York City, New York, USA., Mishra D; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; School of Computer Science & Software Engineering, Monash University, Melbourne, Victoria, Australia., Kamkar H; Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran., Nhu D; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia., Metha D; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia., Thom D; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., Chen Z; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., Ge Z; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia.; Airdoc-Monash Research Lab, Monash University, Melbourne, Victoria, Australia., O'Brien TJ; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.; Department of Medicine & Neurology, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia., Sinclair B; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia., French J; Epilepsy Consortium, New York University Langone, New York City, New York, USA., Law M; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Radiology, Alfred Health, Melbourne, Victoria, Australia.; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Victoria, Australia., Kwan P; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.; Department of Medicine & Neurology, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia. |
| Source: | Epilepsia [Epilepsia] 2026 Jan; Vol. 67 (1), pp. 120-137. Date of Electronic Publication: 2025 Oct 24. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41133949 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Development and validation of clinico-imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nazem-Zadeh+MR%22">Nazem-Zadeh MR</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Chang+RS%22">Chang RS</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Barnard+S%22">Barnard S</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Pardoe+HR%22">Pardoe HR</searchLink>; Imaging and Epilepsy Group, Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Kuzniecky+R%22">Kuzniecky R</searchLink>; Northwell Health, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Mishra+D%22">Mishra D</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; School of Computer Science & Software Engineering, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Kamkar+H%22">Kamkar H</searchLink>; Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Nhu+D%22">Nhu D</searchLink>; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Metha+D%22">Metha D</searchLink>; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Thom+D%22">Thom D</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Ge+Z%22">Ge Z</searchLink>; Monash Medical AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.; AIM for Health Lab, Monash University, Melbourne, Victoria, Australia.; Airdoc-Monash Research Lab, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22O'Brien+TJ%22">O'Brien TJ</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.; Department of Medicine & Neurology, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Sinclair+B%22">Sinclair B</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22French+J%22">French J</searchLink>; Epilepsy Consortium, New York University Langone, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Law+M%22">Law M</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Radiology, Alfred Health, Melbourne, Victoria, Australia.; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Kwan+P%22">Kwan P</searchLink>; Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.; Department of Medicine & Neurology, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%222983306R%22">Epilepsia</searchLink> [Epilepsia] 2026 Jan; Vol. 67 (1), pp. 120-137. <i>Date of Electronic Publication: </i>2025 Oct 24. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Science%22">Blackwell Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>2983306R <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1528-1167 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200139580%22">00139580 </searchLink><i>NLM ISO Abbreviation: </i>Epilepsia <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41133949 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/epi.18668 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 120 Titles: – TitleFull: Development and validation of clinico-imaging machine learning and deep learning models to predict responses to initial antiseizure medications in epilepsy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nazem-Zadeh MR – PersonEntity: Name: NameFull: Chang RS – PersonEntity: Name: NameFull: Barnard S – PersonEntity: Name: NameFull: Pardoe HR – PersonEntity: Name: NameFull: Kuzniecky R – PersonEntity: Name: NameFull: Mishra D – PersonEntity: Name: NameFull: Kamkar H – PersonEntity: Name: NameFull: Nhu D – PersonEntity: Name: NameFull: Metha D – PersonEntity: Name: NameFull: Thom D – PersonEntity: Name: NameFull: Chen Z – PersonEntity: Name: NameFull: Ge Z – PersonEntity: Name: NameFull: O'Brien TJ – PersonEntity: Name: NameFull: Sinclair B – PersonEntity: Name: NameFull: French J – PersonEntity: Name: NameFull: Law M – PersonEntity: Name: NameFull: Kwan P IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Jan Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1528-1167 Numbering: – Type: volume Value: 67 – Type: issue Value: 1 Titles: – TitleFull: Epilepsia Type: main |
| ResultId | 1 |