A Review on Artificial Intelligence as a Solution to Burnout in Interventional Radiology.
Saved in:
| Title: | A Review on Artificial Intelligence as a Solution to Burnout in Interventional Radiology. |
|---|---|
| Authors: | Zhang H; Imperial College London, London, SW7 2AZ, UK. henry.zhang20@imperial.ac.uk., Torkpour A; Imperial College London, London, SW7 2AZ, UK., Zeidaabadi B; Imperial College London, London, SW7 2AZ, UK., Ashraf N; College of Medicine, Alfaisal University, Takhasusi Road, P.O. Box 50927, Riyadh, Saudi Arabia., Yazdabadi A; Eastern Health Clinical School, Monash University and Eastern Health, Melbourne, Australia., Iqbal SI; Massachusetts General Hospital, Boston Massachusetts, MA, 02114, USA., Asadi H; Neurointerventional Radiology Unit, Monash Health, Melbourne, Australia.; School of Medicine, Deakin University, Waurn Ponds, Geelong, Australia., Cazzato RL; Department of Interventional Radiology, University Hospital of Strasbourg, Strasbourg, France., Morgan R; St George's University Hospitals NHS Foundation Trust and St George's, Blackshaw Road, London, SW17 0QT, UK., Shaygi B; Imperial College London, London, SW7 2AZ, UK.; London North West University Healthcare NHS Trust, A404 Watford Rd, Harrow, HA1 3UJ, UK. |
| Source: | Cardiovascular and interventional radiology [Cardiovasc Intervent Radiol] 2026 Apr 24. Date of Electronic Publication: 2026 Apr 24. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Verlag Country of Publication: United States NLM ID: 8003538 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-086X (Electronic) Linking ISSN: 01741551 NLM ISO Abbreviation: Cardiovasc Intervent Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42032303 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A Review on Artificial Intelligence as a Solution to Burnout in Interventional Radiology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Imperial College London, London, SW7 2AZ, UK. henry.zhang20@imperial.ac.uk.<br /><searchLink fieldCode="AU" term="%22Torkpour+A%22">Torkpour A</searchLink>; Imperial College London, London, SW7 2AZ, UK.<br /><searchLink fieldCode="AU" term="%22Zeidaabadi+B%22">Zeidaabadi B</searchLink>; Imperial College London, London, SW7 2AZ, UK.<br /><searchLink fieldCode="AU" term="%22Ashraf+N%22">Ashraf N</searchLink>; College of Medicine, Alfaisal University, Takhasusi Road, P.O. Box 50927, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Yazdabadi+A%22">Yazdabadi A</searchLink>; Eastern Health Clinical School, Monash University and Eastern Health, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Iqbal+SI%22">Iqbal SI</searchLink>; Massachusetts General Hospital, Boston Massachusetts, MA, 02114, USA.<br /><searchLink fieldCode="AU" term="%22Asadi+H%22">Asadi H</searchLink>; Neurointerventional Radiology Unit, Monash Health, Melbourne, Australia.; School of Medicine, Deakin University, Waurn Ponds, Geelong, Australia.<br /><searchLink fieldCode="AU" term="%22Cazzato+RL%22">Cazzato RL</searchLink>; Department of Interventional Radiology, University Hospital of Strasbourg, Strasbourg, France.<br /><searchLink fieldCode="AU" term="%22Morgan+R%22">Morgan R</searchLink>; St George's University Hospitals NHS Foundation Trust and St George's, Blackshaw Road, London, SW17 0QT, UK.<br /><searchLink fieldCode="AU" term="%22Shaygi+B%22">Shaygi B</searchLink>; Imperial College London, London, SW7 2AZ, UK.; London North West University Healthcare NHS Trust, A404 Watford Rd, Harrow, HA1 3UJ, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228003538%22">Cardiovascular and interventional radiology</searchLink> [Cardiovasc Intervent Radiol] 2026 Apr 24. <i>Date of Electronic Publication: </i>2026 Apr 24. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8003538 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-086X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201741551%22">01741551 </searchLink><i>NLM ISO Abbreviation: </i>Cardiovasc Intervent Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42032303 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00270-026-04440-4 Languages: – Code: eng Text: English Titles: – TitleFull: A Review on Artificial Intelligence as a Solution to Burnout in Interventional Radiology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang H – PersonEntity: Name: NameFull: Torkpour A – PersonEntity: Name: NameFull: Zeidaabadi B – PersonEntity: Name: NameFull: Ashraf N – PersonEntity: Name: NameFull: Yazdabadi A – PersonEntity: Name: NameFull: Iqbal SI – PersonEntity: Name: NameFull: Asadi H – PersonEntity: Name: NameFull: Cazzato RL – PersonEntity: Name: NameFull: Morgan R – PersonEntity: Name: NameFull: Shaygi B IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 04 Text: 2026 Apr 24 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1432-086X Titles: – TitleFull: Cardiovascular and interventional radiology Type: main |
| ResultId | 1 |