COFFEE & TALK SESSION
C 24 - How to get my manuscript accepted: getting help from reporting guidelines
Lectures
1
C 24_1 - Why are STARD and STROBE useful and how do they help authors and editors?
20:14Francesco Sardanelli, San Donato Milanese / IT
Learning Objectives
1. To learn about the definition of these guidelines.
2. To understand the major benefit of including these guidelines early in the study.
3. To be aware of other guidelines that may be useful for specific purposes, like CONSORT or ARRIVE.
2
C 24_2 - Can we elaborate guidelines or a checklist for radiomics studies?
19:16Daniel Pinto dos Santos, Cologne / DE
Learning Objectives
1. To learn about the most common weaknesses in published/submitted manuscripts dealing with artificial intelligence/radiomics.
2. To understand how reporting guidelines can help authors avoid these errors by providing a checklist.
3. To be aware of ongoing efforts in adapting reporting guidelines to the field of artificial intelligence.
C 24-1
Why are STARD and STROBE useful and how do they help authors and editors?
Learning Objectives
1. To learn about the definition of these guidelines.
2. To understand the major benefit of including these guidelines early in the study.
3. To be aware of other guidelines that may be useful for specific purposes, like CONSORT or ARRIVE.
C 24-2
What is PRISMA, and what is the recipe for a relevant meta-analysis?
Learning Objectives
1. To understand the relationship between systematic review and meta-analysis.
2. To become familiar with the PRISMA checklist and flow diagram, and to understand how they can provide useful guidance for authors towards a successful meta-analysis.
3. To assess PRISMA as a tool for critical appraisal of published systematic reviews.
C 24-3
Can we elaborate guidelines or a checklist for radiomics studies?
Learning Objectives
1. To learn about the most common weaknesses in published/submitted manuscripts dealing with artificial intelligence/radiomics.
2. To understand how reporting guidelines can help authors avoid these errors by providing a checklist.
3. To be aware of ongoing efforts in adapting reporting guidelines to the field of artificial intelligence.