
OrthoPred is a company that specializes in MSK radiology reporting automation using deep learning technology. Their primary product, deepKnee, is a clinical decision support software designed for the autonomous assessment of knee MRI exams. The software aims to reduce reporting time, enable automatic triage, and improve patient feedback through shorter reporting times and graphical reports for better communication between healthcare professionals and patients. It integrates into existing PACS workflows and has undergone clinical validation studies at Semmelweis University, Buda Health Center, and MedicalPoint Health Center. OrthoPred emphasizes increased diagnostic performance, reduced misdiagnosis risk, and enhanced communication via graphical reports.

OrthoPred is a company that specializes in MSK radiology reporting automation using deep learning technology. Their primary product, deepKnee, is a clinical decision support software designed for the autonomous assessment of knee MRI exams. The software aims to reduce reporting time, enable automatic triage, and improve patient feedback through shorter reporting times and graphical reports for better communication between healthcare professionals and patients. It integrates into existing PACS workflows and has undergone clinical validation studies at Semmelweis University, Buda Health Center, and MedicalPoint Health Center. OrthoPred emphasizes increased diagnostic performance, reduced misdiagnosis risk, and enhanced communication via graphical reports.
Product: DeepKnee — deep-learning software for autonomous knee MRI assessment
Founded: 2017
Headquarters: Győr, Hungary
Clinical validation: Studies at Semmelweis University and multiple private imaging centers
Certification: ISO 13485:2016 for medical software processes
Employees: 7 (reported)
Musculoskeletal (MSK) radiology reporting automation and autonomous knee MRI interpretation.
2017
Medtech / Medical AI
$267,000
Seed round reported in November 2020; public profiles list Hiventures as investor
“Hiventures participation in Seed round”