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178 Disorders trained on the algorithm in this study:

Young Jae Kim (8098697) ; Jung-Im Na (9689689) ; Seung Seog Han (4782486)...
https://figshare.com/articles/journal_contribution/178_Disorders_trained_on_the_algorithm_in_this_study_/18862471. , 2022

Link: https://doi.org/10.1371/journal.pone.0260895.s006

RT Journal
T1 <Title>178 Disorders trained on the algorithm in this study</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18862471&Exemplar=1&LAN=DE
				
A1 Young Jae Kim (8098697)
A1 Jung-Im Na (9689689)
A1 Seung Seog Han (4782486)
A1 Chong Hyun Won (11986150)
A1 Mi Woo Lee (11986153)
A1 Jung-Won Shin (509303)
A1 Chang-Hun Huh (11986156)
A1 Sung Eun Chang (8681661)
YR 2022
K1 Medicine
K1 Cell Biology
K1 Physiology
K1 Biotechnology
K1 Developmental Biology
K1 Cancer
K1 Mental Health
K1 via routine examination
K1 9 %] men
K1 9 ± 0
K1 0 ± 0
K1 1 %] men
K1 shown promising results
K1 1 ± 0
K1 skin neoplasms suspected
K1 2 ± 0
K1 study </ p
K1 skin neoplasms
K1 com </
K1 skin cancer
K1 1 %
K1 xlink ">
K1 world settings
K1 world setting
K1 trainee doctors
K1 study aimed
K1 south korea
K1 single region
K1 significantly increase
K1 reviewing photographs
K1 random series
K1 prospective evaluation
K1 prospective controlled
K1 photographic review
K1 participants increased
K1 p =</
K1 lt ;</
K1 first impression
K1 evaluate whether
K1 either physicians
K1 differential diagnoses
K1 artificial intelligence
K1 >) improves
K1 8 %
K1 285 cases
K1 19 )
K1 144 cases
K1 141 cases
K1 008 )
K1 001 )
JF https://figshare.com/articles/journal_contribution/178_Disorders_trained_on_the_algorithm_in_this_study_/18862471
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0260895.s006
DO https://doi.org/10.1371/journal.pone.0260895.s006
SF ELIB - SuUB Bremen

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