Evidence map›Paper›PMID 34286183›Full record

ArticleFuture healthcare journal2021

Artificial intelligence in healthcare: transforming the practice of medicine.

Junaid Bajwa, Usman Munir, Aditya Nori, Bryan Williams

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Future healthcare journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 603 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
603citing papers in PubMed, 13 pooled it
–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

603 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  13. Digital health tools in the management of allergic rhinitis: a systematic review.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
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543 more citing papers are in PubMed but not listed here.

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

4 authors.

Junaid BajwaMicrosoft Research, Cambridge, UK.
Usman MunirMicrosoft Research, Cambridge, UK.
Aditya NoriMicrosoft Research, Cambridge, UK.
Bryan WilliamsUniversity College London, London, UK and director, NIHR UCLH Biomedical Research Centre, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective, reliable and safe AI systems, and discuss the possible future direction of AI augmented healthcare systems.

Indexed as

AIdigital health

Identifiers

PMID34286183
PMCPMC8285156

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.