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Mobile CT Services for Rural, Regional, and Remote Areas: Current Practice and Future Integration with Telehealth and Regulatory-Authorised AI — arXiv:2609.14347

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.14347
License (as archived): CC0-1.0
Archived: 2026-10-16T01:52:56.300Z
SHA-256 of the archived text: 9ee3944d6820abac9f141051b21733477f445040932abbd8dec4ce1c7e772d0c
Stable URL of this page: https://metraipolis.com/documento/dc_85501ee54538

How to cite

Mobile CT Services for Rural, Regional, and Remote Areas: Current Practice and Future Integration with Telehealth and Regulatory-Authorised AI — arXiv:2609.14347 — arXiv (en), https://arxiv.org/abs/2609.14347 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_85501ee54538 (Metraipolis archive dc_85501ee54538, sha256 9ee3944d6820abac9f141051b21733477f445040932abbd8dec4ce1c7e772d0c)

BibTeX

@misc{dc85501ee54538,
  title = {Mobile CT Services for Rural, Regional, and Remote Areas: Current Practice and Future Integration with Telehealth and Regulatory-Authorised AI — arXiv:2609.14347},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.14347},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_85501ee54538; sha256 9ee3944d6820abac9f141051b21733477f445040932abbd8dec4ce1c7e772d0c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.14347. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Computed tomography (CT) plays an essential role in clinical workflow to improve patient outcomes. However, access to CT imaging and specialist interpretation remains limited, particularly in rural, regional, remote (RRR), and other resource-limited settings. Recent advances in mobile CT, telehealth, and artificial intelligence (AI) provide opportunities to extend advanced imaging services to populations in RRR settings. This review examines: 1) mobile CT systems deployed in trucks, trailers, ambulances, and other mobile platforms; 2) telehealth technologies supporting CT-based healthcare; and 3) AI for CT that has received regulatory authorisation or is currently deployed in clinical practice. Applications are evaluated across four clinical functions: screening and diagnosis, patient monitoring, risk prediction, and intervention or therapeutic decision support. The review covers neurological, thoracic, cardiovascular, abdominal, oncological, musculoskeletal, and interventional imaging, with particular attention to stroke, cancer, and other image-guided treatment. Other factors such as regulatory status, deployment status, and estimated technology readiness (TRL) level are compared. Current evidence indicates that mobile CT, telehealth, and AI for conventional CT are individually relatively mature, but fully integration of these technologies remains less widely deployed and validated in the clinical settings. Key barriers include regulatory variation, domain shift, connectivity requirements, cost, workflow integration, cybersecurity, and limited evidence of patient-level benefit. Future research should prioritise prospective, multicentre evaluation of integrated CT systems in real-world and underserved clinical settings.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-15 in cs.CV).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2609.14347 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T01:25:23.571Z dalla pagina https://arxiv.org/catchup/cs.CV/2026-09-15?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).