Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Hamid Ghaednia, Ph.D.

Title
Institution
Department
Address
Profile Picture

Biography
MGH, Boston, MAPostdocOrthopaedics
Rice University, Houston, TXPostdoc10/2018Mechanical Engineering
Auburn University, Auburn, ALPh.D.08/2017Mechanical Engineering
Tehran Polytechnic, Tehran, IranBSc07/2012Civil Engineering

Mentoring
Available: 01/10/22, Expires: 03/01/24

The Skeletal Oncology Research Group (SORG) at the Department of Orthopaedic Surgery at Harvard Medical School and the Massachusetts General Hospital is seeking multiple motivated individuals for Research Fellow positions starting from Jan 2022 to work on MGB orthopaedic registries. Interested researchers will be involved in development of AI-based models across a range of orthopaedic subspecialties including trauma, spine, tumor, shoulder, and arthroplasty for the Mass General Brigham Healthcare network of hospitals. The researcher will also assist the team with several aspects of the ongoing clinical and translational research at SORG. Please check The SORG website for more detailes about our team (https://sorg.mgh.harvard.edu/). The research fellows are also welcome to join the engineering team at Center for Physicial Artificial Intelligence for the development of biomedical devices and wearables that is the other focus of the labs. The mission of SORG and CPAI is to improve patient outcomes through clinical research and engineering in Orthopaedics. The applicant will be working under the supervision of Dr. Joseph Schwab, chief of spine surgery, director of MGB orthopaedic registries, director of SORG, co-director of Stephan Harris Chordoma center, and Dr. Hamid Ghaednia, Co-Director of SORG and MGB Registries in a very collaborative environment. This position would provide an excellent opportunity for transition to independence by writing several grants, understanding the clinical challenges in orthopaedic surgery, gain hands-on experience in the design and development of novel machine learning-based predictive models, creating long-term networks, and creating a strong publication record. Feel free to reach out to learn more about the available positions and projects.


Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Karhade AV, Lavoie-Gagne O, Agaronnik N, Ghaednia H, Collins AK, Shin D, Schwab JH. Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility? Spine J. 2022 02; 22(2):272-277. PMID: 34407468.
    Citations: 1     Fields:    Translation:Humans
  2. Ghaednia H, Fourman MS, Lans A, Detels K, Dijkstra H, Lloyd S, Sweeney A, Oosterhoff JHF, Schwab JH. Augmented and virtual reality in spine surgery, current applications and future potentials. Spine J. 2021 10; 21(10):1617-1625. PMID: 33774210.
    Citations: 3     Fields:    Translation:Humans
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Ghaednia's Networks
Click the
Explore
buttons for more information and interactive visualizations!
Concepts (10)
Explore
_
Co-Authors (5)
Explore
_
Similar People (60)
Explore
_
Same Department 
Explore
_
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.