Harnessing conversational generative artificial intelligence and natural language processing to address the colorectal cancer screening adherence gap: the Azores endeavour.
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| Title: | Harnessing conversational generative artificial intelligence and natural language processing to address the colorectal cancer screening adherence gap: the Azores endeavour. |
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| Authors: | Goiana-da-Silva F; Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.; NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal.; Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal.; Sword Health, Inc, Draper, UT, United States., Tude-Graça D; Sword Health, Inc, Draper, UT, United States.; Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.; Centre for Public Administration and Public Policies, Institute of Social and Political Sciences, University of Lisbon, Lisbon, Portugal., Correia FPG; Azores Oncology Centre, Angra do Heroísmo, Azores, Portugal., Renard R; Sword Health, Inc, Draper, UT, United States., Pereira J; Sword Health, Inc, Draper, UT, United States., Portas T; Sword Health, Inc, Draper, UT, United States., Borba JP; Azores Oncology Centre, Angra do Heroísmo, Azores, Portugal., Ashrafian H; Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.; Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom., de Macedo JCCB; Azores Oncology Centre, Angra do Heroísmo, Azores, Portugal. |
| Source: | Frontiers in public health [Front Public Health] 2026 Sep 30; Vol. 14, pp. 1968297. Date of Electronic Publication: 2026 Sep 30 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2026.1968297 |
