Diagnostic Reading #17: Five “Must Read” Articles on HIT and Radiology
Reading Time: 3 minutes read
In the news: CT scans and heart-related findings; and AI challenges radiologists.
This week’s articles in Diagnostic Reading include: radiologist reads of pediatric arm fractures are costly and unnecessary; AI challenges radiologists at detecting breast cancer; CT scans can reveal valuable information about a patient’s heart; 10 questions to ask before starting a healthcare data migration; and AI and MRI exams at birth can predict cognitive development.
Radiologist reads of pediatric arm fractures are superfluous, costly – Health Imaging
Once a child’s broken arm is on the mend, little to nothing is gained by having follow-up X-ray exams read by both radiologists and orthopedic surgeons, according to a study conducted at Case Western Reserve University and published online in the Journal of Pediatric Orthopaedics. Jerry Du, MD, and colleagues placed their findings in the context of a Joint Commission mandate requiring such dual interpretations.
AI challenges radiologists at detecting breast cancer – Health Imaging
An AI approach developed by Dutch researchers performed similarly to radiologists at detecting breast cancer, according to a multi-center, multi-dataset study published in the Journal of the National Cancer Institute. The researchers looked at 29,000 readings containing digital mammography exams read by 101 radiologists. The AI was trained, validated and tested on more than 9,000 mammograms with cancer and 180,000 without abnormalities and performed better than radiologists.
What CT scans, mammograms can reveal about a patient’s heart health – Radiology Business
CT scans can reveal valuable information about a patient’s heart health, even if the scan was not specifically ordered for that purpose. According to findings to be presented at the ACR session, radiologists do not always include heart-related findings in their reports—but they should according to some physicians. The study’s lead author said, “It would be particularly helpful to know if a patient has evidence of early coronary artery disease before starting cancer treatment that can potentially harm the heart.”
Healthcare data migration: the top 10 questions – Everything Rad
Healthcare data migration is a challenging and critical undertaking. Data sets may be large; the legacy and target systems may be very different. What are the top questions that healthcare IT managers and CIOs should ask before getting started?
AI and MRIs at birth can predict cognitive development – Healthcare-in-Europe
Researchers used MRI brain scans and machine learning techniques at birth to predict cognitive development at age 2 years with 95 percent accuracy. This prediction could help identify children at risk for poor cognitive development shortly after birth with high accuracy. For these children an early intervention in the first year or so of life – when cognitive development is happening – could help improve outcomes.
#diagnosticreading #radiology #datamigration #healthcareIT
