---
title: "Scaling clinical AI globally: lessons from deploying a deep-learning screening tool across India,"
id: "nature-2-practical-lessons-in-the-global-scaling-of-clinical-ai-from-one-hospital-to"
canonical_url: "https://medichelpline.com/clinical-feed/nature-2-practical-lessons-in-the-global-scaling-of-clinical-ai-from-one-hospital-to"
content_type: "clinical_feed_article"
specialty: "Radiology"
source_name: "Nature Medicine"
source_url: "https://www.nature.com/articles/s41591-026-04643-9"
published_at: "2026-09-23T10:34:20.000Z"
evidence_level: "Journal Feed"
license: "CC-BY-NC-4.0 / Informational Use"
---
# Scaling clinical AI globally: lessons from deploying a deep-learning screening tool across India,
## Provenance & Clinical Metadata
- **Canonical URL:** https://medichelpline.com/clinical-feed/nature-2-practical-lessons-in-the-global-scaling-of-clinical-ai-from-one-hospital-to
- **Specialty:** [Radiology](https://medichelpline.com/clinical-feed/radiology.md)
- **Primary Source:** Nature Medicine
- **Source URL:** [Original Journal Publication](https://www.nature.com/articles/s41591-026-04643-9)
- **Published At:** 2026-09-23T10:34:20.000Z
- **Evidence Rating:** Journal Feed
## Executive GIST (TL;DR)
- The Nature Medicine comment summarizes the practical experience of scaling a successful **deep‑learning** clinical tool from a single hospital to broader use across three distinct settings: India, Thailand and Australia. - The work is authored by a multi‑institutional group including researchers at **Google**, Aravind Eye Care System (India), Rajavithi Hospital (Thailand) and Lions Outback Vision (Australia). - The article frames the cross‑setting deployment as offering “cross‑cutting insights” that may inform global expansion of **clinical AI**. - The published item is a subscription preview on nature.com; full text access requires institutional or individual purchase or subscription. The preview indicates the piece is a Comment published 23 September 2026. - The preview includes a bibliographic list of prior relevant studies and reports cited in the piece (references 1–14), spanning JAMA, Ophthalmology, Nat. Med., Lancet Digital Health and other journals, and including prior work on AI in ophthalmology and screening programs. - Authors and affiliations are listed in the preview; Google is the primary affiliation for many authors, with other contributors from Aravind Eye Care System, Rajavithi Hospital and Lions Eye Institute. - The preview text is brief and emphasizes that scaling a tool across three highly distinct settings yields practical lessons; specific operational details, quantitative outcomes, implementation steps and patient-level results are not reported in the preview and require access to the full article. - The references cited provide additional primary studies and implementation reports relevant to AI deployment in eye care and screening, indicating the comment is grounded in published literature. - The preview notes access options (institutional access, Nature+ subscription, single‑article purchase) and provides links for privacy policy and author information. - Key takeaway from the available preview: real‑world scaling across geographically and operationally diverse sites can reveal generalizable lessons for the global implementation of **screening**-oriented clinical AI, but the preview itself does not publish detailed methods or results.
## Clinical Analysis & Structured Key Points
## Your privacy, your choice We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our [privacy policy](https://www.nature.com/info/privacy) for more information on the use of your personal data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies [Skip to main content](https://www.nature.com/articles/s41591-026-04643-9#content) Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement [ ![Nature Medicine](https://media.springernature.com/full/nature-cms/uploads/product/nm/header-95e59e63930e5d6009bad2c23a42ab2d.svg) ](https://www.nature.com/nm) * [ View all journals ](https://www.nature.com/siteindex) * [ Saved research ](https://www.nature.com/saved-research) * [ Search ](javascript:;) ## Search Search articles by subject, keyword or author Show results from All journals This journal Search [ Advanced search ](https://www.nature.com/search/advanced) ### Quick links * [Explore articles by subject](https://www.nature.com/subjects) * [Find a job](https://www.nature.com/naturecareers) * [Guide to authors](https://www.nature.com/authors/index.html) * [Editorial policies](https://www.nature.com/authors/editorial_policies/) * [Log in](https://idp.nature.com/auth/personal/springernature?redirect_uri=https://www.nature.com/articles/s41591-026-04643-9) * [ Content Explore content ](javascript:;) ## Explore content * [ Research articles ](https://www.nature.com/nm/research-articles) * [ Reviews & Analysis ](https://www.nature.com/nm/reviews-and-analysis) * [ News & Comment ](https://www.nature.com/nm/news-and-comment) * [ Podcasts ](https://www.nature.com/nm/podcast) * [ Current issue ](https://www.nature.com/nm/current-issue) * [ Collections ](https://www.nature.com/nm/collections) * [Follow us on Facebook ](https://www.facebook.com/Nature-Medicine-193691346949/) * [Follow us on X ](https://twitter.com/naturemedicine) * [ Subscribe ](https://www.nature.com/nm/subscribe) * [Sign up for alerts ](https://journal-alerts.springernature.com/subscribe?journal_id=41591) * [ RSS feed ](https://www.nature.com/nm.rss) * [ About the journal ](javascript:;) ## About the journal * [ Aims & Scope ](https://www.nature.com/nm/aims) * [ Journal Information ](https://www.nature.com/nm/journal-information) * [ Journal Metrics ](https://www.nature.com/nm/journal-impact) * [ About the Editors ](https://www.nature.com/nm/editors) * [ Research Cross-Journal Editorial Team ](https://www.nature.com/nm/research-cross-journal-editorial-team) * [ Reviews Cross-Journal Editorial Team ](https://www.nature.com/nm/reviews-cross-journal-editorial-team) * [ Statistical Advisory Panel ](https://www.nature.com/nm/statistics-advisory-panel) * [ Our publishing models ](https://www.nature.com/nm/our-publishing-models) * [ Editorial Values Statement ](https://www.nature.com/nm/editorial-values-statement) * [ Editorial Policies ](https://www.nature.com/nm/editorial-policies) * [ Content Types ](https://www.nature.com/nm/content) * [ Web Feeds ](https://www.nature.com/nm/web-feeds) * [ Contact ](https://www.nature.com/nm/contact) * [ Publish with us ](javascript:;) ## Publish with us * [ Submission Guidelines ](https://www.nature.com/nm/submission-guidelines) * [ For Reviewers ](https://www.nature.com/nm/for-reviewers) * [ Language editing services ](https://authorservices.springernature.com/go/sn/?utm_source=For+Authors&utm_medium=Website_Nature&utm_campaign=Platform+Experimentation+2022&utm_id=PE2022) * [Open access funding](https://www.nature.com/nm/open-access-funding) * [Submit manuscript ](https://mts-nmed.nature.com/cgi-bin/main.plex) * [ Subscribe ](https://www.nature.com/nm/subscribe) * [ Sign up for alerts ](https://journal-alerts.springernature.com/subscribe?journal_id=41591) * [ RSS feed ](https://www.nature.com/nm.rss) 1. [nature](https://www.nature.com/) 2. [nature medicine](https://www.nature.com/nm) 3. [comments](https://www.nature.com/nm/articles?type=comment) 4. article * Comment * Published: 23 September 2026 # Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened * [Richa Tiwari](https://www.nature.com/articles/s41591-026-04643-9#auth-Richa-Tiwari-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Rajroshan Sawhney](https://www.nature.com/articles/s41591-026-04643-9#auth-Rajroshan-Sawhney-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Kasumi Widner](https://www.nature.com/articles/s41591-026-04643-9#auth-Kasumi-Widner-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Kim Ramasamy](https://www.nature.com/articles/s41591-026-04643-9#auth-Kim-Ramasamy-Aff2)[2](https://www.nature.com/articles/s41591-026-04643-9#Aff2), * [Ravindran Padmanabhan](https://www.nature.com/articles/s41591-026-04643-9#auth-Ravindran-Padmanabhan-Aff2)[2](https://www.nature.com/articles/s41591-026-04643-9#Aff2), * [Paisan Ruamviboonsuk](https://www.nature.com/articles/s41591-026-04643-9#auth-Paisan-Ruamviboonsuk-Aff3)[3](https://www.nature.com/articles/s41591-026-04643-9#Aff3), * [Angus Turner](https://www.nature.com/articles/s41591-026-04643-9#auth-Angus-Turner-Aff4)[4](https://www.nature.com/articles/s41591-026-04643-9#Aff4), * [Jay Nayar](https://www.nature.com/articles/s41591-026-04643-9#auth-Jay-Nayar-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Jessica Williams](https://www.nature.com/articles/s41591-026-04643-9#auth-Jessica-Williams-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Naama Hammel](https://www.nature.com/articles/s41591-026-04643-9#auth-Naama-Hammel-Aff1) [ORCID: orcid.org/0000-0002-1284-0061](https://orcid.org/0000-0002-1284-0061)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Xiang Yin](https://www.nature.com/articles/s41591-026-04643-9#auth-Xiang-Yin-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Theo Guidroz](https://www.nature.com/articles/s41591-026-04643-9#auth-Theo-Guidroz-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Dave Watson](https://www.nature.com/articles/s41591-026-04643-9#auth-Dave-Watson-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Jonathan Krause](https://www.nature.com/articles/s41591-026-04643-9#auth-Jonathan-Krause-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Quang Duong](https://www.nature.com/articles/s41591-026-04643-9#auth-Quang-Duong-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Yun Liu](https://www.nature.com/articles/s41591-026-04643-9#auth-Yun-Liu-Aff1) [ORCID: orcid.org/0000-0003-4079-8275](https://orcid.org/0000-0003-4079-8275)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Yossi Matias](https://www.nature.com/articles/s41591-026-04643-9#auth-Yossi-Matias-Aff1) [ORCID: orcid.org/0000-0003-3960-6002](https://orcid.org/0000-0003-3960-6002)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Ronit Levavi Morad](https://www.nature.com/articles/s41591-026-04643-9#auth-Ronit-Levavi_Morad-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Avinatan Hassidim](https://www.nature.com/articles/s41591-026-04643-9#auth-Avinatan-Hassidim-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1), * [Dale Webster](https://www.nature.com/articles/s41591-026-04643-9#auth-Dale-Webster-Aff1) [ORCID: orcid.org/0000-0002-3023-8824](https://orcid.org/0000-0002-3023-8824)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1) & * … * [Sunny Virmani](https://www.nature.com/articles/s41591-026-04643-9#auth-Sunny-Virmani-Aff1)[1](https://www.nature.com/articles/s41591-026-04643-9#Aff1) Show authors [_Nature Medicine_](https://www.nature.com/nm) (2026) [Cite this article](https://www.nature.com/articles/s41591-026-04643-9#citeas) [ Save article ](https://www.nature.com/articles/s41591-026-04643-9/save-research?_csrf=GUE2lDKhBTsh08mS9wHb2XAcvK17TrIQ) [ View saved research ](https://www.nature.com/saved-research) Scaling a successful deep learning tool across three highly distinct settings – in India, Thailand and Australia — offers cross-cutting insights that may inform the expansion of healthcare artificial intelligence globally. This is a preview of subscription content, [access via your institution](https://wayf.springernature.com?redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-026-04643-9) ## Access options [ Access through your institution ](https://wayf.springernature.com?redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-026-04643-9) Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription 27,99 € / 30 days cancel any time [Learn more](https://shop.nature.com/products/plus/?region=ROW) Subscribe to this journal Receive 12 print issues and online access 251,40 € per year only 20,95 € per issue [Learn more](https://www.nature.com/nm/subscribe) Buy this article * Purchase on SpringerLink * Instant access to the full article PDF. 39,95 € Prices may be subject to local taxes which are calculated during checkout ### Additional access options: * [Log in](https://idp.nature.com/auth/personal/springernature?client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-026-04643-9) * [Learn about institutional subscriptions](https://www.springernature.com/gp/librarians/licensing/license-options) * [Read our FAQs](https://support.nature.com/en/support/home) * [Contact customer support](https://www.springernature.com/gp/contact) ## References 1. Gulshan, V. et al. _JAMA_ **316** , 2402–2410 (2016). [Article](https://doi.org/10.1001%2Fjama.2016.17216) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=27898976) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=JAMA&doi=10.1001%2Fjama.2016.17216&volume=316&pages=2402-2410&publication_year=2016&author=Gulshan%2CV) 2. Krause, J. et al. _Ophthalmology_ **125** , 1264–1272 (2018). [Article](https://doi.org/10.1016%2Fj.ophtha.2018.01.034) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=29548646) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Ophthalmology&doi=10.1016%2Fj.ophtha.2018.01.034&volume=125&pages=1264-1272&publication_year=2018&author=Krause%2CJ) 3. Gulshan, V. et al. _JAMA Ophthalmol._ **137** , 987–993 (2019). [Article](https://doi.org/10.1001%2Fjamaophthalmol.2019.2004) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=31194246) [PubMed Central](http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567842) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=JAMA%20Ophthalmol.&doi=10.1001%2Fjamaophthalmol.2019.2004&volume=137&pages=987-993&publication_year=2019&author=Gulshan%2CV) 4. Brant, A. et al. _JAMA Netw. Open_ **8** , e250984 (2025). [Article](https://doi.org/10.1001%2Fjamanetworkopen.2025.0984) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=40105843) [PubMed Central](http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11923701) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=JAMA%20Netw.%20Open&doi=10.1001%2Fjamanetworkopen.2025.0984&volume=8&publication_year=2025&author=Brant%2CA) 5. Widner, K. et al. _Nat. Med._ **29** , 1304–1306 (2023). [Article](https://doi.org/10.1038%2Fs41591-023-02293-9) [CAS](https://www.nature.com/articles/cas-redirect/1:CAS:528:DC%2BB3sXhtFWgt7vE) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=37248297) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Nat.%20Med.&doi=10.1038%2Fs41591-023-02293-9&volume=29&pages=1304-1306&publication_year=2023&author=Widner%2CK) 6. Ruamviboonsuk, P. et al. _npj Digit. Med._ **2** , 25 (2019). [Article](https://doi.org/10.1038%2Fs41746-019-0099-8) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=npj%20Digit.%20Med.&doi=10.1038%2Fs41746-019-0099-8&volume=2&publication_year=2019&author=Ruamviboonsuk%2CP) 7. Ruamviboonsuk, P. et al. _Lancet Digit. Health_ **4** , e235–e244 (2022). [Article](https://doi.org/10.1016%2FS2589-7500%2822%2900017-6) [CAS](https://www.nature.com/articles/cas-redirect/1:CAS:528:DC%2BB3sXis1Sks7o%3D) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=35272972) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Lancet%20Digit.%20Health&doi=10.1016%2FS2589-7500%2822%2900017-6&volume=4&pages=e235-e244&publication_year=2022&author=Ruamviboonsuk%2CP) 8. Srisubat, A. et al. _Ophthalmol. Ther._ **12** , 1339–1357 (2023). [Article](https://link.springer.com/doi/10.1007/s40123-023-00688-y) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=36841895) [PubMed Central](http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011252) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Ophthalmol.%20Ther.&doi=10.1007%2Fs40123-023-00688-y&volume=12&pages=1339-1357&publication_year=2023&author=Srisubat%2CA) 9. Foreman, J. et al. _Med. J. Aust._ **206** , 402–406 (2017). [Article](https://doi.org/10.5694%2Fmja16.00989) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=28490306) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Med.%20J.%20Aust.&doi=10.5694%2Fmja16.00989&volume=206&pages=402-406&publication_year=2017&author=Foreman%2CJ) 10. Chia, M. A. et al. _Br. J. Ophthalmol._ **108** , 268–273 (2024). [Article](https://doi.org/10.1136%2Fbjo-2022-322237) [PubMed](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=36746615) [PubMed Central](http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10850716) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Br.%20J.%20Ophthalmol.&doi=10.1136%2Fbjo-2022-322237&volume=108&pages=268-273&publication_year=2024&author=Chia%2CMA) 11. Qiang, L. et al. _Aust. J. Rural Health_ **33** , e70031 (2025). [Article](https://doi.org/10.1111%2Fajr.70031) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Aust.%20J.%20Rural%20Health&doi=10.1111%2Fajr.70031&volume=33&publication_year=2025&author=Qiang%2CL) 12. Drinkwater, J. J. et al. _Diabetology_ **6** , 146 (2025). [Article](https://doi.org/10.3390%2Fdiabetology6120146) [ Google Scholar](http://scholar.google.com/scholar_lookup?&title=&journal=Diabetology&doi=10.3390%2Fdiabetology6120146&volume=6&publication_year=2025&author=Drinkwater%2CJJ) 13. Google. (2026). 14. Bertucio, A. & King, H. _Google Open Source Blog_ (21 February 2024). [Download references](https://citation-needed.springer.com/v2/references/10.1038/s41591-026-04643-9?format=refman&flavour=references) ## Author information ### Authors and Affiliations 1. Google, Mountain View, CA, USA Richa Tiwari, Rajroshan Sawhney, Kasumi Widner, Jay Nayar, Jessica Williams, Naama Hammel, Xiang Yin, Theo Guidroz, Dave Watson, Jonathan Krause, Quang Duong, Yun Liu, Yossi Matias, Ronit Levavi Morad, Avinatan Hassidim, Dale Webster & Sunny Virmani 2. Aravind Medical Research Foundation, Aravind Eye Care System, Madurai, India Kim Ramasamy & Ravindran Padmanabhan 3. Rajavithi Hospital, Bangkok, Thailand Paisan Ruamviboonsuk 4. Lions Outback Vision, Lions Eye Institute, Nedlands, Western Australia, Australia Angus Turner Authors 1. Richa Tiwari [View author publications](https://www.nature.com/search?author=Richa%20Tiwari) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Richa%20Tiwari)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=%22Richa%20Tiwari%22&as_publication=&as_ylo=&as_yhi=&as_allsubj=all&hl=en) 2. Rajroshan Sawhney [View author publications](https://www.nature.com/search?author=Rajroshan%20Sawhney) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Rajroshan%20Sawhney)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=%22Rajroshan%20Sawhney%22&as_publication=&as_ylo=&as_yhi=&as_allsubj=all&hl=en) 3. Kasumi Widner [View author publications](https://www.nature.com/search?author=Kasumi%20Widner) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Kasumi%20Widner)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=%22Kasumi%20Widner%22&as_publication=&as_ylo=&as_yhi=&as_allsubj=all&hl=en) 4. Kim Ramasamy [View author publications](https://www.nature.com/search?author=Kim%20Ramasamy) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Kim%20Ramasamy)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=%22Kim%20Ramasamy%22&as_publication=&as_ylo=&as_yhi=&as_allsubj=all&hl=en) 5. Ravindran Padmanabhan [View author publications](https://www.nature.com/search?author=Ravindran%20Padmanabhan) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Ravindran%20Padmanabhan)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=%22Ravindran%20Padmanabhan%22&as_publication=&as_ylo=&as_yhi=&as_allsubj=all&hl=en) 6. Paisan Ruamviboonsuk [View author publications](https://www.nature.com/search?author=Paisan%20Ruamviboonsuk) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Paisan%20Ruamviboonsuk)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=%22Paisan%20Ruamviboonsuk%22&as_publication=&as_ylo=&as_yhi=&as_allsubj=all&hl=en) 7. Angus Turner [View author publications](https://www.nature.com/search?author=Angus%20Turner) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Angus%20Turner)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=any&as_sauthors=%22Angus%20Turner%22&as_publication=&as_ylo=&as_yhi=&as_allsubj=all&hl=en) 8. Jay Nayar [View author publications](https://www.nature.com/search?author=Jay%20Nayar) Search author on:[PubMed](https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&term=Jay%20Nayar)[Google Scholar](https://scholar.google.co.uk/scholar?as_q=&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&a
## Related Clinical Research

- [Methods and Evidence in Economic Evaluations of Modern Radiotherapy: Systematic Mapping Review Pro](https://medichelpline.com/clinical-feed/bmj-open-8-methods-and-evidence-in-economic-evaluations-of-modern-radiotherapy-a.md)
- [Improved articular representation of the TLEM 2.0 musculoskeletal model via joint congruence maxim](https://medichelpline.com/clinical-feed/plos-one-8-update-of-the-articular-representation-of-the-tlem-2-0-musculoskeletal-model.md)
- [RecallRefine: Coverage-Constrained Coarse-to-Fine Segmentation for Small 3D Lesions](https://medichelpline.com/clinical-feed/biorxiv-19-recallrefine-coverage-constrained-coarse-to-fine-segmentationfor-small-3d.md)
- [Computational Pipeline for Retinal Capillary Blood Flow Measurement with Adaptive Optics Line Conf](https://medichelpline.com/clinical-feed/biorxiv-2-a-computational-pipeline-for-retinal-capillary-blood-flow-measurement-using.md)
- [Benchmarking Open-Source Thigh Muscle MRI Segmentation Algorithms](https://medichelpline.com/clinical-feed/medrxiv-15-benchmarking-open-source-automated-thigh-muscle-mri-segmentation-algorithms.md)

## Navigation
- [← Back to Radiology Feed](https://medichelpline.com/clinical-feed/radiology.md)
- [← All Clinical Specialties](https://medichelpline.com/clinical-feed.md)
## Medical & Regulatory Disclaimer

> [!CAUTION]
> MedicHelpline content is structured for research, educational, and professional discovery purposes. It does not constitute individual medical advice, clinical diagnosis, or treatment recommendations.
> Always verify dosing, contraindications, and regulatory alerts against official product labeling and primary regulatory sources before clinical decision-making.