The effects of using virtual patients on the history-taking ability of nursing interns: A non-randomized controlled study

2022 ◽  
pp. 103289
Author(s):  
Juanjuan Zhao ◽  
Huan He ◽  
Jingrong Du ◽  
Yuan Liu ◽  
Zekai Li ◽  
...  
Keyword(s):  
Randomized Controlled Study ◽  
Controlled Study ◽  
Virtual Patients ◽  
History Taking ◽  
Randomized Controlled

VIRTUAL PATIENTS IN UNDERGRADUATE SURGERY EDUCATION: A RANDOMIZED CONTROLLED STUDY

2007 ◽  
Vol 77 (1-2) ◽  
pp. 54-59 ◽  
Author(s):  
Javad H. Vash ◽  
Masud Yunesian ◽  
Mohammad Shariati ◽  
Amir Keshvari ◽  
Iraj Harirchi
Keyword(s):  
Randomized Controlled Study ◽  
Controlled Study ◽  
Virtual Patients ◽  
Randomized Controlled ◽  
Surgery Education

scholarly journals Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study

2021 ◽  
Vol 18 (4) ◽  
pp. 2086
Author(s):  
Yukinori Harada ◽  
Shinichi Katsukura ◽  
Ren Kawamura ◽  
Taro Shimizu
Keyword(s):  
Artificial Intelligence ◽  
Differential Diagnosis ◽  
Diagnostic Accuracy ◽  
Medical History ◽  
Correct Diagnosis ◽  
Medical History Taking ◽  
Randomized Controlled Study ◽  
Controlled Study ◽  
History Taking ◽  
Randomized Controlled

Background: The efficacy of artificial intelligence (AI)-driven automated medical-history-taking systems with AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy was shown. However, considering the negative effects of AI-driven differential-diagnosis lists such as omission (physicians reject a correct diagnosis suggested by AI) and commission (physicians accept an incorrect diagnosis suggested by AI) errors, the efficacy of AI-driven automated medical-history-taking systems without AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy should be evaluated. Objective: The present study was conducted to evaluate the efficacy of AI-driven automated medical-history-taking systems with or without AI-driven differential-diagnosis lists on physicians’ diagnostic accuracy. Methods: This randomized controlled study was conducted in January 2021 and included 22 physicians working at a university hospital. Participants were required to read 16 clinical vignettes in which the AI-driven medical history of real patients generated up to three differential diagnoses per case. Participants were divided into two groups: with and without an AI-driven differential-diagnosis list. Results: There was no significant difference in diagnostic accuracy between the two groups (57.4% vs. 56.3%, respectively; p = 0.91). Vignettes that included a correct diagnosis in the AI-generated list showed the greatest positive effect on physicians’ diagnostic accuracy (adjusted odds ratio 7.68; 95% CI 4.68–12.58; p < 0.001). In the group with AI-driven differential-diagnosis lists, 15.9% of diagnoses were omission errors and 14.8% were commission errors. Conclusions: Physicians’ diagnostic accuracy using AI-driven automated medical history did not differ between the groups with and without AI-driven differential-diagnosis lists.

Foreign language learning in older age does not improve memory or intelligence: Evidence from a randomized controlled study.

2020 ◽  
Vol 35 (2) ◽  
pp. 212-219
Author(s):  
Rasmus Berggren ◽  
Jonna Nilsson ◽  
Yvonne Brehmer ◽  
Florian Schmiedek ◽  
Martin Lövdén
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Foreign Language Learning ◽  
Older Age ◽  
Randomized Controlled Study ◽  
Controlled Study ◽  
Randomized Controlled

Prevention of Surgical Site Sternal Infections in Cardiac Surgery: A Two-center Prospective Randomized Controlled Study

2016 ◽  
Vol 64 (S 01) ◽  
Author(s):  
C. Schimmer ◽  
E. Ramm ◽  
G. Hoffmann ◽  
B. Panholzer ◽  
R. Leyh ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Randomized Controlled Study ◽  
Controlled Study ◽  
Randomized Controlled
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