HH
Heather Haeberle
Hospital for Special Surgery, Baylor College of Medicine, The University of Texas at Austin
Research areas: Medicine · Surgery · Total Knee Arthroplasty Outcomes · Shoulder Injury and Treatment · Orthopaedic implants and arthroplasty
0000-0001-8341-8389
Employment
- 2020 - Present
Education
- 2016 - 2020
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University of Texas at Austin BS Biomedical Engineering2012 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (63)
- Predicting the Risk of Subsequent Hip Surgery Before Primary Hip Arthroscopy for Femoroacetabular Impingement Syndrome: A Machine Learning Analysis of Preoperative Risk Factors in Hip Preservation. Save
- Effect of Preoperative Imaging and Patient Factors on Clinically Meaningful Outcomes and Quality of Life After Osteochondral Allograft Transplantation: A Machine Learning Analysis of Cartilage Defects of the Knee. Save
- Response to Letter to the Editor on "Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Hip". Save
- Sports Medicine and Artificial Intelligence: A Primer. Save
- Association Between Preoperative Mental Health and Clinically Meaningful Outcomes After Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis. Save
- Pediatric orthopedic mythbusters: the truth about flexible flatfeet, tibial and femoral torsion, W-sitting, and idiopathic toe-walking. Save
- Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Hip. Save
- Machine Learning Outperforms Regression Analysis to Predict Next-Season Major League Baseball Player Injuries: Epidemiology and Validation of 13,982 Player-Years From Performance and Injury Profile Trends, 2000-2017. Save
- Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Knee. Save
- Machine Learning Outperforms Logistic Regression Analysis to Predict Next-Season NHL Player Injury: An Analysis of 2322 Players From 2007 to 2017. Save
- Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis. Save
- Clinical and Research Medical Applications of Artificial Intelligence. Save
- Response to letter to the editor on "Significance of external validation in clinical machine learning: let loose too early?" Save
- The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty. Save
- Newer Generation of Cementless Total Knee Arthroplasty: A Systematic Review. Save
- Can a machine learning model accurately predict patient resource utilization following lumbar spinal fusion? Save
- Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions Save
- The Effects of Space Microgravity on Hip and Knee Cartilage: A New Frontier in Orthopaedics. Save
- Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best? Save
- Epidemiology and Impact of Prior Musculoskeletal Injury and Orthopaedic Surgery on Draft Rank, Availability, and Short-term Performance in Major League Baseball: A Summary Analysis and Matched Cohort of 1890 Predraft Players. Save