AI-powered models to advance TJA research

OpenTJA Research Group

The main focus of the OpenTJA Research Group, leaded by Dr. Hilal Maradit Kremers, is to design, develop, and implement cutting-edge artificial intelligence (AI) strategies to address clinically relevant challenges in total joint arthroplasty (TJA) research, paving towards more reliable, precise, robust, and effective prognosis, diagnosis, and treatment mechanisms for the TJA patients. We will be primarily focusing on diverse clinical data, including medical images, clinical notes, EHRs, and radiology reports for precise quantifications and characterizations of TJA complications within total knee arthroplasty (TKA) and total hip arthroplasty (THA) settings. Our group is a multideciplinary team of orthopedic surgeons, physicians, computer scientists, artificial intelligence and data science experts and has access to high-performance computational resources to boost experimental facilities in TJA setting in the Department of Health Sciences Research at Mayo Clinic, Rochester, MN, and it benefits from several extramural collaborations with other academic institutions across the US.

Hilal Maradit Kremers, M.D.
Principle Investigator (PI)
Associate Professor
Health Sciences Research
Mayo Clinic

Research Interests

  • Deep learning-enabled computer vision to objectively and automatically analyze TJA radiographs.
  • State-of-the-art natural language processing (NLP) to harness the wealth of free-text TJA data.
  • Annotation guidelines that facilitates constructing large-scale fully-annotated datasets in TJA research.
  • Learning from less labels.
  • TJA data elements extraction from clinical notes.
  • Cutting-edge machine learning methods for clinical prediction.
  • Open-source development in TJA setting.

News

  • July. 2021: We will be presenting some of our research findings at RSNA 2021.
  • Nov. 2020: We have a paper accepted at ISVC 2020.
  • Oct. 2020: We have a paper accepted at the Journal of Arthroplasty.
  • Apr. 2020: We were awarded Benefactor-funded CDAs Orthopedics Career Development Award.
  • Apr. 2020: We have submitted a manuscript at ISVC 2020.
  • Mar. 2020: We have a manuscript submitted at the Journal of Arthroplasty.
  • Feb. 2020: We have submitted an NIH-R21 in the February 2020 cycle.
  • Oct. 2019: We have been invited at UWM to give a talk at UWM Big Data Seminars. Our talk entitled "Deep Learning Computational Vision to Advance Knee Total Joint Arthroplasty Research".