I have a PubMed alert for studies involving search with “machine learning”. This study was included in the search list recently: “One-year Follow-Up Results with Hydrogel Implant in Therapy of Hallux Rigidus: Case Series with 44 Patients“. That really stood out. But yes, they indeed used machine learning algorithm to investigate risk factors for treatment […]
Tag: machine learning
More well developed orthopaedic prediction models
It seems that appropriate methodology in the development of prediction models is becoming more common in our field. These two recent studies caught my attention: Development of a model to predict the probability of incurring a complication during spine surgery and Prediction of 90-day mortality after total hip arthroplasty. Both studies report calibration performance and […]
Mesmerized by clinical prediction models
I am not a surgical oncologist but I came across with this study: A deep survival interpretable radiomics model of hepatocellular carcinoma patients. Authors conclude: In summary, novel deep radiomic analysis provides improved performance for risk assessment of HCC prognosis compared with Cox survival models and may facilitate stratification of HCC patients and personalization of […]
Basics of artificial intelligence and machine learning for every trainee?
This was an interesting perspective: What Should Radiology Residency and Fellowship Training in Artificial Intelligence Include? A Trainee’s Perspective—Radiology In Training. Just some take from the commentary: Trainees should be introduced to the basic concepts of data collection, annotation, and algorithm validation. AI and ML are here to stay. Hence it is important that these […]