Jakub Olczak

Publikationer
CV
Populärvetenskap och samverkan

Artiklar

Article: EUROPEAN JOURNAL OF TRAUMA AND EMERGENCY SURGERY. 2023;49(2):1057-1069
Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)
Prijs J; Liao Z; To M-S; Verjans J; Jutte PC; Stirler V; Olczak J; Gordon M; Guss D; DiGiovanni CW; Jaarsma RL; IJpma FFA; Doornberg JN
Article: BONE & JOINT JOURNAL. 2022;104B(8):911-914
Artificial intelligence and computer vision in orthopaedic trauma THE WHY, HOW, AND WHAT
Prijs J; Liao Z; Ashkani-Esfahani S; Olczak J; Gordon M; Jayakumar P; Jutte PC; Jaarsma RL; IJpma FFA; Doornberg JN
Article: ACTA ORTHOPAEDICA. 2021;92(5):513-525
Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal
Olczak J; Pavlopoulos J; Prijs J; Ijpma FFA; Doornberg JN; Lundstrom C; Hedlund J; Gordon M
Article: BONE & JOINT OPEN. 2021;2(10):879-885
An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics ARE THESE EXTERNALLY VALIDATED AND READY FOR CLINICAL APPLICATION?
Carmo LOE; van den Merkhof A; Olczak J; Gordon M; Jutte PC; Jaarsma RL; Ijpma FFA; Doornberg JN; Prijs J
Article: ACTA ORTHOPAEDICA. 2021;92(1):102-108
Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification
Olczak J; Emilson F; Razavian A; Antonsson T; Stark A; Gordon M
Article: ACTA ORTHOPAEDICA. 2017;88(6):581-586
Artificial intelligence for analyzing orthopedic trauma radiographs Deep learning algorithms-are they on par with humans for diagnosing fractures?
Olczak J; Fahlberg N; Maki A; Razavian AS; Jilert A; Stark A; Skoldenberg O; Gordon M

Alla övriga publikationer

Doctoral thesis: 2024
Fracture evaluation and prediction of outcome after a fracture using artificial neural networks
Olczak J
Review: SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY. 2016;51:44-52
Evaluating network inference methods in terms of their ability to preserve the topology and complexity of genetic networks
Kiani NA; Zenil H; Olczak J; Tegner J

Anställningar

Anknuten till Forskning, Kliniska vetenskaper, Danderyds sjukhus, Karolinska Institutet, 2025-2025

Examina och utbildning

Medicine Doktorsexamen, Institutionen för kliniska vetenskaper, Danderyds sjukhus, Karolinska Institutet, 2024
Läkarexamen, Karolinska Institutet, 2018

Artiklar

Alla övriga publikationer

Anställningar

Examina och utbildning

Nyheter från KI

Kalenderhändelser från KI