Evidence map›Paper›PMID 36599335›Full record

ArticleInternational neurourology journal2022

New Trends in Innovative Technologies Applying Artificial Intelligence to Urinary Diseases.

Jin Kyu Oh, Jun Young Lee, Sung-Jong Eun, Jong Mok Park

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International neurourology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Jin Kyu OhDepartment of Urology, College of Medicine, Gachon University, Incheon, Korea.
Jun Young LeeDepartment of Medical Device Engineering and Management, Yonsei University, Seoul, Korea.
Sung-Jong EunDigital Health Industry Team, National IT Industry Promotion Agency, Jincheon, Korea.
Jong Mok ParkDepartment of Urology, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, Korea.
Chungnam National University · KRGachon University · KRNational IT industry Promotion Agency · KRYonsei University · KR

Funding

Chungnam National University Sejong Hospital
6 · The paper itself

Abstract

Artificial intelligence (AI) is used in various fields of medicine, with applications encompassing all areas of medical services, such as the development of medical robots, the diagnosis and personalized treatment of diseases, and personalized healthcare. Medical AI research and development have been largely focused on diagnosis, prediction, treatment, and management as an auxiliary means of patient care. AI is mainly used in the fields of personal healthcare and diagnostic imaging. In urology, substantial investments are being made in the development of urination monitoring systems in the personal healthcare field and diagnostic solutions for ureteral stricture and urolithiasis in the diagnostic imaging field. This paper describes AI applications for urinary diseases and discusses current trends and future perspectives in AI research.

Indexed as

Artificial intelligenceMobile urination logSmart toiletUrinary system diseaseUroflowmetry

Identifiers

PMID36599335
PMCPMC9816452
OpenAlexW4313238336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.