PitRSDNet: Predicting intra-operative remaining surgery duration in endoscopic pituitary surgery.

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Title: PitRSDNet: Predicting intra-operative remaining surgery duration in endoscopic pituitary surgery.
Authors: Wijekoon A; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK., Das A; UCL Hawkes Institute University College London London UK., Herrera RR; UCL Hawkes Institute University College London London UK., Khan DZ; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Hanrahan J; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Carter E; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Luoma V; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Stoyanov D; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK., Marcus HJ; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Bano S; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK.
Source: Healthcare technology letters [Healthc Technol Lett] 2024 Nov 25; Vol. 11 (6), pp. 318-326. Date of Electronic Publication: 2024 Nov 25 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 101646459 Publication Model: eCollection Cited Medium: Print ISSN: 2053-3713 (Print) Linking ISSN: 20533713 NLM ISO Abbreviation: Healthc Technol Lett Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: PitRSDNet: Predicting intra-operative remaining surgery duration in endoscopic pituitary surgery.
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  Data: <searchLink fieldCode="AU" term="%22Wijekoon+A%22">Wijekoon A</searchLink>; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK.<br /><searchLink fieldCode="AU" term="%22Das+A%22">Das A</searchLink>; UCL Hawkes Institute University College London London UK.<br /><searchLink fieldCode="AU" term="%22Herrera+RR%22">Herrera RR</searchLink>; UCL Hawkes Institute University College London London UK.<br /><searchLink fieldCode="AU" term="%22Khan+DZ%22">Khan DZ</searchLink>; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK.<br /><searchLink fieldCode="AU" term="%22Hanrahan+J%22">Hanrahan J</searchLink>; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK.<br /><searchLink fieldCode="AU" term="%22Carter+E%22">Carter E</searchLink>; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK.<br /><searchLink fieldCode="AU" term="%22Luoma+V%22">Luoma V</searchLink>; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK.<br /><searchLink fieldCode="AU" term="%22Stoyanov+D%22">Stoyanov D</searchLink>; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK.<br /><searchLink fieldCode="AU" term="%22Marcus+HJ%22">Marcus HJ</searchLink>; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK.<br /><searchLink fieldCode="AU" term="%22Bano+S%22">Bano S</searchLink>; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK.
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  Data: <searchLink fieldCode="JN" term="%22101646459%22">Healthcare technology letters</searchLink> [Healthc Technol Lett] 2024 Nov 25; Vol. 11 (6), pp. 318-326. <i>Date of Electronic Publication: </i>2024 Nov 25 (<i>Print Publication: </i>2024).
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        Value: 10.1049/htl2.12099
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      – TitleFull: PitRSDNet: Predicting intra-operative remaining surgery duration in endoscopic pituitary surgery.
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              Text: 2024 Nov 25
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