Bulletin of Medical and Clinical Research

10.34256/br201 ◽

2020 ◽

Keyword(s):

Clinical Practice ◽

Medical Students ◽

Clinical Research ◽

Medical Research ◽

Deep Understanding ◽

Book Series

The Bulletin of Medical and Clinical Research (BMCR) is one of the new advanced Book series which focused on the new issues and developments in all aspects of general & scientific medical research and clinical practice. This volume is a welcome contribution to the all areas of Medical and Clinical Research. It is concise and accessible, yet covers the field comprehensively. Also, it demonstrates the deep understanding of the diverse theories, and presents the various viewpoints and approaches in an easily readable fashion. This book is of assistance to the medical students as well as the experienced practitioner.

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Oxford Handbook of Medical Statistics

10.1093/med/9780198743583.001.0001 ◽

2020 ◽

Author(s):

Janet L. Peacock ◽

Phil J. Peacock

Keyword(s):

Clinical Practice ◽

Medical Students ◽

Medical Research ◽

Sample Size ◽

Statistical Methods ◽

Medical Statistics ◽

Wide Range ◽

Chi Squared ◽

Published Research ◽

Difficult Subject

A good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice. The Oxford Handbook of Medical Statistics, second edition, has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject. Described by readers as a ‘statistical Bible’, this new edition maintains the accessibility and thoroughness of the original, and includes comprehensive updates including new sections on transitional medicine, cluster designs, and modern statistical packages. The handbook promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t and chi-squared tests, to complex multifactorial analyses, all using examples from published research. References and further reading are included, to allow deeper understanding on specific topics. Featuring a new chapter on how to use this book in different medical contexts, the Oxford Handbook of Medical Statistics helps readers to conduct their own research and critically appraise others' work.

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Medisinstudenters intensjon om å tematisere seksualitet i behandlingsrommet [Medical students’ intention to talk about sexuality in clinical practice]

Scandinavian Psychologist ◽

10.15714/scandpsychol.3.e14 ◽

2016 ◽

Vol 3 ◽

Cited By ~ 1

Author(s):

Nantje Fischer ◽

◽

Bente Train ◽

Keyword(s):

Clinical Practice ◽

Medical Students

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Barriers toward clinical research perceived by medical students: a descriptive study from Saudi Arabia

International Journal of Medicine in Developing Countries ◽

10.24911/ijmdc.51-1599398960 ◽

2020 ◽

pp. 1777-1781

Author(s):

Ali Al-saeed ◽

Nasir Aldandan ◽

Ahmed Qassimi ◽

Muhammed Al-Alwan ◽

Adeeb Buhlaigah ◽

...

Keyword(s):

Saudi Arabia ◽

Medical Students ◽

Clinical Research ◽

Descriptive Study

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Faculty Opinions recommendation of Translating clinical research into clinical practice: impact of using prediction rules to make decisions.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1040353.489313 ◽

2006 ◽

Author(s):

Ewout Steyerberg

Keyword(s):

Clinical Practice ◽

Clinical Research ◽

Prediction Rules

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Remediation with feedback for medical students who perform poor standard of communication: based on a clinical practice examination and an objective structure Clinical examination

Korean Association For Learner-Centered Curriculum And Instruction ◽

10.22251/jlcci.2018.18.9.45 ◽

2018 ◽

Vol 18 (9) ◽

pp. 45-59

Author(s):

Tae Seon Lee ◽

Keyword(s):

Clinical Practice ◽

Medical Students ◽

Clinical Examination ◽

Objective Structure Clinical Examination ◽

Clinical Practice Examination

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Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?

Insights into Imaging ◽

10.1186/s13244-020-00942-y ◽

2020 ◽

Vol 11 (1) ◽

Author(s):

Pierre Auloge ◽

Julien Garnon ◽

Joey Marie Robinson ◽

Sarah Dbouk ◽

Jean Sibilia ◽

...

Keyword(s):

Artificial Intelligence ◽

Interventional Radiology ◽

Clinical Practice ◽

Medical Students ◽

Medical Curriculum ◽

New Technology ◽

Large Population ◽

The Other ◽

Clinical Phase ◽

Preclinical Phase

Abstract Objectives To assess awareness and knowledge of Interventional Radiology (IR) in a large population of medical students in 2019. Methods An anonymous survey was distributed electronically to 9546 medical students from first to sixth year at three European medical schools. The survey contained 14 questions, including two general questions on diagnostic radiology (DR) and artificial intelligence (AI), and 11 on IR. Responses were analyzed for all students and compared between preclinical (PCs) (first to third year) and clinical phase (Cs) (fourth to sixth year) of medical school. Of 9546 students, 1459 students (15.3%) answered the survey. Results On DR questions, 34.8% answered that AI is a threat for radiologists (PCs: 246/725 (33.9%); Cs: 248/734 (36%)) and 91.1% thought that radiology has a future (PCs: 668/725 (92.1%); Cs: 657/734 (89.5%)). On IR questions, 80.8% (1179/1459) students had already heard of IR; 75.7% (1104/1459) stated that their knowledge of IR wasn’t as good as the other specialties and 80% would like more lectures on IR. Finally, 24.2% (353/1459) indicated an interest in a career in IR with a majority of women in preclinical phase, but this trend reverses in clinical phase. Conclusions Development of new technology supporting advances in artificial intelligence will likely continue to change the landscape of radiology; however, medical students remain confident in the need for specialty-trained human physicians in the future of radiology as a clinical practice. A large majority of medical students would like more information about IR in their medical curriculum; almost a quarter of students would be interested in a career in IR.

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