Journal Basic Info

  • Impact Factor: 1.995**
  • H-Index: 8
  • ISSN: 2474-1647
  • DOI: 10.25107/2474-1647
**Impact Factor calculated based on Google Scholar Citations. Please contact us for any more details.

Major Scope

  •  Ophthalmic Surgery
  •  Gynecological Surgery
  •  Colon and Rectal Surgery
  •  Oral and Maxillofacial Surgery
  •  Cardiovascular Surgery
  •  Otolaryngology - Head and Neck Surgery
  •  Breast Surgery
  •  Gastroenterological Surgery


Citation: Clin Surg. 2021;6(1):3167.Case Report | Open Access

Ultra-Fresh Osteochondral Allograft Transplantation Supported by Artificial Intelligence Algorithms - Case Report of a 14-Year-Old Patient

György H1,2*, Rudolf HL1,2, Zsófia E1 , Péter S4 , Endre S3 , János S4 , Tamás G1,2 and László H1,2

Uzsoki Hospital, Budapest, Hungary 2 Department of Traumatology, Semmelweis University, Hungary 3 Alfréd Rényi Institute of Mathematics, Hungary 4 MedInnoScan Research and Development Ltd., Budapest, Hungary

*Correspondance to: Hangody Gy├Ârgy 

 PDF  Full Text DOI: 10.25107/2474-1647.3167


Surgical treatment of cartilage surface lesions is similar to tumor surgery in many ways. Depending on the extent, depth, and nature of the lesion, different pathways can lead to a solution. In our case, we performed an ?ultra-fresh? osteochondral allograft transplantation due to an extensive osteochondral lesion in the lateral femur condyle of a 14-year-old patient. One of the main limitations of this process is to create a precisely sized and fitting graft, and thereby establishing the best congruence possible. In order to achieve this, MRI-based artificial intelligence algorithms were developed and this was used for donor-recipient matching. Postoperative follow-up of the patient was performed according to current international protocols. Although we do not have longterm experience with the use of artificial intelligence in this form, we believe that matching the most appropriate donor-recipient pairs during transplantation may affect the long-term outcomes of surgery


Knee; Cartilage; Ultra-fresh osteochondral allografts; Artificial intelligence; Deep learning

Cite the article

György H, Rudolf HL, Zsófia E, Péter S, Endre S, János S, et al. Ultra-Fresh Osteochondral Allograft Transplantation Supported by Artificial Intelligence Algorithms - Case Report of a 14-YearOld Patient. Clin Surg. 2021; 6: 3167..

Search Our Journal

Journal Indexed In

Articles in PubMed

Monitoring an Ongoing Enhanced Recovery after Surgery (ERAS) Program: Adherence Improves Clinical Outcomes in a Comparison of Three Thousand Colorectal Cases
 PubMed  PMC  PDF  Full Text
Sildenafil Transiently Delays Early Alveolar Bone Healing of Tooth Extraction Sockets
 PubMed  PMC  PDF  Full Text
View More...

Articles with Grants

Sclerotherapy with Polidocanol Foam is a Promising Perspective Treatment for Pyogenic Granuloma: A Retrospective Analysis in 52 Cases
 Abstract  PDF  Full Text
Identification of FGFR1 Mutations in Patients with Sporadic Conotruncal Defect
 Abstract  PDF  Full Text
View More...