Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning.
Yusuhn KangDongjun ChoiKyong Joon LeeJoo Han OhBo Ram KimJoong Mo AhnPublished in: European radiology (2021)
• We have developed a deep learning algorithm capable of assessing SSC tears based on changes at the lesser tuberosity on axillary lateral radiographs and previous clinical data with moderate accuracy. • Our deep learning algorithm could be used as an objective method to initially assess SSC integrity and to identify those who would and would not benefit from further investigation or treatment.
Keyphrases
- deep learning
- rotator cuff
- artificial intelligence
- lymph node
- convolutional neural network
- machine learning
- neoadjuvant chemotherapy
- sentinel lymph node
- minimally invasive
- ultrasound guided
- big data
- electronic health record
- high intensity
- early stage
- squamous cell carcinoma
- anterior cruciate ligament reconstruction
- locally advanced