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Artificial neural network-augmented dosiomic integration for predicting distant recurrence in NSCLC patients treated with SBRT.

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Title: Artificial neural network-augmented dosiomic integration for predicting distant recurrence in NSCLC patients treated with SBRT.
Authors: Halder K; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States.; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India., Alden R; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States., Podder R; Department of Radiation Oncology, University of Florida, Gainesville, FL, United States., Orlando MF; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India., Mix MD; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States., Biswas T; Department of Radiation Oncology, University of Florida, Gainesville, FL, United States., Bogart JB; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States., Podder TK; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States.
Source: Frontiers in oncology [Front Oncol] 2025 Sep 25; Vol. 15, pp. 1669954. Date of Electronic Publication: 2025 Sep 25 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Halder+K%22">Halder K</searchLink>; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States.; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India.<br /><searchLink fieldCode="AU" term="%22Alden+R%22">Alden R</searchLink>; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States.<br /><searchLink fieldCode="AU" term="%22Podder+R%22">Podder R</searchLink>; Department of Radiation Oncology, University of Florida, Gainesville, FL, United States.<br /><searchLink fieldCode="AU" term="%22Orlando+MF%22">Orlando MF</searchLink>; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India.<br /><searchLink fieldCode="AU" term="%22Mix+MD%22">Mix MD</searchLink>; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States.<br /><searchLink fieldCode="AU" term="%22Biswas+T%22">Biswas T</searchLink>; Department of Radiation Oncology, University of Florida, Gainesville, FL, United States.<br /><searchLink fieldCode="AU" term="%22Bogart+JB%22">Bogart JB</searchLink>; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States.<br /><searchLink fieldCode="AU" term="%22Podder+TK%22">Podder TK</searchLink>; Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, United States.
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  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2025 Sep 25; Vol. 15, pp. 1669954. <i>Date of Electronic Publication: </i>2025 Sep 25 (<i>Print Publication: </i>2025).
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              Text: 2025 Sep 25
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