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Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis
107
Zitationen
5
Autoren
2024
Jahr
Abstract
Our analysis highlights the importance of reporting guidelines in clinical AI research and underscores the need for common standards that address the identified variations and gaps in current guidelines. Overall, this comprehensive overview could help researchers and public stakeholders reinforce quality standards for increased reliability, reproducibility, clinical validity, and public trust in AI research in healthcare. This could facilitate the safe, effective, and ethical translation of AI methods into clinical applications that will ultimately improve patient outcomes.
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Autoren
Institutionen
- Indiana University Health(US)
- Purdue University West Lafayette(US)
- Fresenius (Germany)(DE)
- University Hospital Carl Gustav Carus(DE)
- Indiana University Indianapolis(US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis(US)
- Technische Universität Dresden(DE)
- Universitätsklinikum Aachen(DE)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- National Center for Tumor Diseases(DE)
- RWTH Aachen University(DE)