Evidence map›Paper›PMID 38404514›Full record

ArticleThe Lancet regional health. Southeast Asia2024

Teleradiology and technology innovations in radiology: status in India and its role in increasing access to primary health care.

Anuradha Chandramohan, Viswajit Krothapalli, Ann Augustin, Madhavi Kandagaddala, Hannah Mary Thomas, Thambu David Sudarsanam, Ammar Jagirdar, Shalini Govil, Arjun Kalyanpur

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. WhatsApp and Its Role in Teleradiology.The Indian journal of radiology & imaging · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Impact of Teleradiology on Oncological Interpretation of PET-CT Scans.Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Anuradha ChandramohanDepartment of Radiology, Christian Medical College, Vellore, 632004, India.
Viswajit KrothapalliDepartment of Radiology, Christian Medical College, Vellore, 632004, India.
Ann AugustinDepartment of Radiology, Christian Medical College, Vellore, 632004, India.
Madhavi KandagaddalaDepartment of Radiology, Christian Medical College, Vellore, 632004, India.
Hannah Mary ThomasChristian Medical College, Vellore, 632004, India.
Thambu David SudarsanamDepartment of Clinical Epidemiology, Christian Medical College, Vellore, 632004, India.
Ammar JagirdarProducts, Qure-AI, Mumbai, India.
Shalini GovilDepartment of Radiology, Christian Medical College, Vellore, 632004, India.
Arjun KalyanpurTeleradiology Solutions, Whitefield, Bengaluru, Karnataka, 560048, India.

Funding

DBT-Wellcome Trust India Alliance IA/E/18/1/504306
6 · The paper itself

Abstract

Background: There is an inequitable distribution of radiology facilities in India. This scoping review aimed at mapping the available technology instruments to improve access to imaging at primary health care; to identify the facilitators and barriers, and the knowledge gaps for widespread adaptation of technology solutions. Methods: A search was conducted using broad inclusive terms non-specific to subtypes of medical imaging devices or informatics. Work published in the English language between 2005 and 2022, conducted primarily in India, and with full manuscripts were included. Two authors independently screened the abstracts against the inclusion criteria for full-text review and a senior author settled discrepancies. Data were extracted using DistillerSR software. Findings: 43 original articles and 52 non-academic materials were finally reviewed. The data was from 10 Indian states with n = 9 from rural settings. The broad trends in original articles were: connectivity using teleradiology (n = 7), mobile digital imaging units (n = 9), artificial intelligence (n = 16); mobile devices and smartphone applications (n = 7); data security (n = 7) and web-based technology (n = 2); public-private partnership (n = 9); cost (n = 2); concordance (n = 19); evaluation (n = 4); implementation (n = 2). Interpretation: Available evidence suggests that teleradiology when combined with AI and mobile digital imaging units can address radiologist shortages; strengthen programs aimed at population screening and emergency care. However, there is insufficient data on the scale of teleradiology networks within India; needs assessment; cost; facilitators, and barriers for implementation of technologies solutions in primary healthcare settings. Regulations governing quality standards, data protection, and confidentiality are unclear. Funding: The authors are The Lancet Citizen's Commission fellows. The Lancet Commission has received financial support from the Lakshmi Mittal and Family South Asia Institute, Harvard University; Christian Medical College, Vellore (CMC), Vellore; Azim Premji Foundation, Infosys; Kirloskar Systems Ltd.; Mahindra & Mahindra Ltd.; Rohini Nilekani Philanthropies; and Serum Institute of India. The views expressed are those of the author(s) and not necessarily those of the Lancet Citizens' Commission or its partners.

Indexed as

AccessArtificial intelligenceMobile-teleradiologyPrimary health careTechnologyTeleradiologyUniversal health coverage

Identifiers

PMID38404514
PMCPMC10884973

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.