Most AI research focused on radiology lacks external validation | A big benefit of structured reporting

Most researchers exploring the performance of artificial intelligence (AI) in radiology aren’t validating their results, according to a new study published by the Korean Journal of Radiology.

Researchers at Harvard and several institutions in Italy have shown that clinicians managing neuromuscular conditions receive clinically relevant information more consistently from structured radiology reports than from reports rendered in free text. And the gains are greatest when the reporting radiologist is not deeply experienced.

The Medical Imaging & Technology Alliance (MITA) has published a new voluntary standard addressing the servicing of medical imaging equipment.

President Trump’s proposed “Budget for a Better America” for 2020 would cut Medicare spending by approximately $845 billion and Medicaid spending by approximately $241 billion over 10 years.

If some form of practice consolidation is in your radiology practice’s present or future, you should know that many tactical errors are made around the difficulty of sharing information across disparate legacy PACS packages and other peripheral solutions used by newly conjoining practices, departments or organizations. 

Natural language processing (NLP) could help radiology providers anticipate fluctuations in demand and provide faster patient care, according to a new study published in the Journal of the American College of Radiology.

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