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Podcast: Getting Your Radiology Solution Out There
Paul Chang, MD, offers some advice and warns of a few pitfalls radiology professionals face when getting their home-grown IT tools into the market.
[[{"type":"media","view_mode":"media_crop","fid":"8023","attributes":{"alt":"","class":"media-image media-image-left","id":"media_crop_5428327812734","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"208","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"margin: 5px; float: left;","title":" ","typeof":"foaf:Image"}}]]Radiology clinicians and researchers know the requirements of their work flow better than any vendor or marketing survey - so many are developing their own software. Today, it’s easier than ever to develop IT solutions, but there can be a lot of obstacles, says Paul Chang, MD, FSIIM, professor and vice chairman of radiology informatics at the University of Chicago School of Medicine.
In this podcast, the second in a two-part series, Chang previews some of the advice and guidance he’ll be giving at SIIM 2012 on how to get your solution into the market.
Can AI Bolster Breast Cancer Detection in DBT Screening?
January 16th 2025In sequential breast cancer screening with digital breast tomosynthesis (DBT), true positive examinations had more than double the AI case score of true negative examinations and the highest positive AI score changes from previous exams, according to new research.
