Open Health Data Could Ease AI's Data Access Bottleneck, Says Radiologist Poll

42% of respondents in a Twitter poll rated data access and cleaning as the hardest part of developing clinical artificial intelligence (AI), surpassing clinical deployment and model training. The opinion piece argues that open health data could alleviate this bottleneck, potenti…

• Based on an informal Twitter poll by Hugh Harvey, not a systematic study.
• 42% selected data access/cleaning; other options were clinical deployment and model training/validation (exact figures not reported).
• Limitation: non-representative, self-selected audience; results may not reflect broader developer community consensus.

RadPigeon summaries are original and for information only. They are not clinical advice.