Artificial intelligence can improve patients’ experience in decentralized clinical trials.
Correspondence from @Kevin_A_Thomas_ and @kidzik@StanfordMed
https://t.co/UtRobReIsV
ACL tears are season-ending knee injuries that have recently had a major impact on the competitive landscape of the NBA. Our new study examines how athletes' style of play affects their ACL injury risk. Full study: https://t.co/d1RCdYbbnO
Can basketball playing style cause knee injuries? Lisa Kim asks Kevin Thomas, an MD-PhD biomedical informatics student at Stanford who worked on the study. https://t.co/ICMNbNFrDG
#KneeInjury#ACL#Basketball
Big week for clinical trial approvals.
Disease modifying drug for Alzheimer’s: https://t.co/kqyb30ioL8
and first weight loss drug approval since 2014:
https://t.co/2vMWd6jfT6
5/5 Promising treatments might be slipping through the cracks. Our tool helps. It's automated so no reliance on radiologists. We used AI to mimic the diagnoses of a radiologist committee. This eliminates the bias of individual radiologists who can disagree with one another.
4/5 This reliance on radiologists can limit your ability to prove your treatment works. Even if you can get your hundreds/thousands of X-rays from your study evaluated, evidence shows radiologists can disagree with themselves if they look at the same X-ray twice.
3/5 If you're a scientist who develops a treatment for knee osteoarthritis, you need to prove it works... need to measure the severity of patients' osteoarthritis before and after treatment. This requires a radiologist to look at X-rays and assign scores for how bad they look.
2/5 This has big implications for helping scientists find a cure for this widespread disease. Also try out the model on your own knee X-rays at https://t.co/IGMeDRG5Nm.
1/5 Knee osteoarthritis affects 212 million. We've published software to accelerate discovery of treatments. It evaluates knee X-rays with the accuracy of radiologists and it's automated. Published in Radiology: Artificial Intelligence. https://t.co/GrPl3NFYey @radiology_rsna