Fritz Seidl

Use and Acceptance of Innovative Digital Health Solutions Among Patients and Professionals: Survey Study

Fritz Seidl, Florian Hinterwimmer, Ferdinand Aurel Vogt, Günther M. Edenharter et autres

Background: Digital solutions are gaining increasing importance and present a challenge regarding their introduction and acceptance into professional medical environments. Significant advances have been made regarding the availability, safety, and ease of use of data generated by a multitude of devices and …

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Use and acceptance of innovative digital health solutions among patients and professionals - a survey-based distinction. (Preprint)

Fritz Seidl, Florian Hinterwimmer, Ferdinand Aurel Vogt, Günther M. Edenharter et autres

BACKGROUND Digital solutions are gaining increasing importance and present a challenge regarding the introduction and acceptance into professional medical environments. Significant advances have been made regarding availability, safety, and ease of use of data generated by a multitude of devices and wearables. …

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Numerical evaluation of internal femur osteosynthesis based on a biomechanical model of the loading in the proximal equine hindlimb

Jan J. Lang, Xinhao Li, Carina M. Micheler, Nikolas Wilhelm et autres

Femoral fractures are often considered lethal for adult horses because femur osteosynthesis is still a surgical challenge. For equine femur osteosynthesis, primary stability is essential, but the detailed physiological forces occurring in the hindlimb are largely unknown. The objective of this study …

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Recommender-based bone tumour classification with radiographs—a link to the past

Florian Hinterwimmer, Ricardo Smits Serena, Nikolas Wilhelm, Sebastian Breden et autres

OBJECTIVES: To develop an algorithm to link undiagnosed patients to previous patient histories based on radiographs, and simultaneous classification of multiple bone tumours to enable early and specific diagnosis. MATERIALS AND METHODS: For this retrospective study, data from 2000 to 2021 were …

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Innovative digital health solutions: Use and acceptance among patients and professionals, and the influence of the regulatory framework - a survey-based distinction.

Dominik Pfoerringer, Florian Hinterwimmer, Ferdinand Aurel Vogt, Günther M. Edenharter et autres

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SAM-X: sorting algorithm for musculoskeletal x-ray radiography

Florian Hinterwimmer, Sarah Consalvo, Nikolas Wilhelm, Fritz Seidl et autres

OBJECTIVE: To develop a two-phased deep learning sorting algorithm for post-X-ray image acquisition in order to facilitate large musculoskeletal image datasets according to their anatomical entity. METHODS: In total, 42,608 unstructured and pseudonymized radiographs were retrieved from the PACS of a musculoskeletal …

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Two-Phase Deep Learning Algorithm for Detection and Differentiation of Ewing Sarcoma and Acute Osteomyelitis in Paediatric Radiographs

Sarah Consalvo, Florian Hinterwimmer, Jan Neumann, Marc Steinborn et autres

BACKGROUND/AIM: Ewing sarcoma is a highly malignant tumour predominantly found in children. The radiological signs of this malignancy can be mistaken for acute osteomyelitis. These entities require profoundly different treatments and result in completely different prognoses. The purpose of this study was …

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Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data

Igor Lazic, Florian Hinterwimmer, Severin Langer, Florian Pohlig et autres

BACKGROUND: Machine Learning (ML) in arthroplasty is becoming more popular, as it is perfectly suited for prediction models. However, results have been heterogeneous so far. We hypothesize that an accurate ML model for outcome prediction in THA must be able to compute …

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Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty‐specific data

Florian Hinterwimmer, Igor Lazic, Severin Langer, Christian Suren et autres

PURPOSE: The number of primary total knee arthroplasties (TKA) is expected to rise constantly. For patients and healthcare providers, the early identification of risk factors therefore becomes increasingly fundamental in the context of precision medicine. Others have already investigated the detection of …

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Treatment of fracture-related infection of the lower extremity with antibiotic-eluting ceramic bone substitutes: case series of 35 patients and literature review

Sebastian Pesch, Marc Hanschen, Frederik Greve, Michael Zyskowski et autres

INTRODUCTION: The current treatment concepts of fracture-related infection (FRI) [Consensus Conference (Anti-Infection Task Force (AITF)) on the definition of acute or chronic osteomyelitis (cOM)] are associated with unsolved challenges and problems, underlining the need for ongoing medical research. METHOD: Literature review of …

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Abstract 497: Studying Cardiovascular Effects of Marijuana on Healthy Individuals Using Human Derived Induced Pluripotent Stem Cells

Tzu-Tang Wei, Mark Chandy, Ian Y. Chen, Hung-Ta Wo et autres

Marijuana is the most widely used illicit drug worldwide. Epidemiological studies indicate that marijuana increases the risk of coronary artery disease (CAD). Adverse cerebrovascular and peripheral vascular effects are also associated with marijuana use. In addition, three synthetic cannabis drugs have been …

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Emergency room as primary point of access in the German healthcare system

Dominik Pförringer, Patrick Pflüger, Lilia Waehlert, Andreas Beivers et autres

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