Publications by authors named "Benjamin S Rasmussen"

Artificial Intelligence (AI) holds promise in improving diagnostics and treatment. Likewise, AI is anticipated to mitigate the impacts of staff shortages in the healthcare sector. However, realising the expectations placed on AI requires a substantial effort involving patients and clinical domain experts.

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  • This study aimed to evaluate the performance of a commercial AI tool in detecting acute brain ischemia on MRI compared to a seasoned neuroradiologist.
  • Researchers analyzed MRIs from 1030 patients suspected of a stroke, ultimately focusing on 995 for their assessment.
  • Results showed the AI tool had high sensitivity (89%) and specificity (90%) for detecting ischemic lesions, although performance varied with lesion size and image quality.
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  • Management of distal radius fractures (DRF) relies on measuring fracture displacement through radiographic methods, but the accuracy of these measurements is questionable.
  • The study aimed to assess the accuracy of two specific measurements—dorsal/volar tilt and ulnar variance—by comparing radiographic results to a more precise technique called radiostereometric analyses (RSA).
  • Results showed that radiographs significantly underestimated fracture-induced deformities, suggesting that current clinical assessments may lead to ineffective treatment strategies for DRFs.*
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Background: Imaging-guided percutaneous biopsy of renal masses is regarded as safe and is widely used for histopathology diagnosis before treatment. Recommended observation time after tumour biopsy varies in international guidelines and the literature is sparse.

Purpose: To assess the effect of a 1-h post-biopsy observation time of percutaneous image-guided renal mass biopsy.

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Background: Cryoablation is a promising minimally invasive, nephron-sparing treatment of small renal carcinoma (RCC) in co-morbid patients.

Purpose: To assess the safety, efficacy, and cancer-specific outcomes of computed tomography (CT)-guided cryoablation of stage T1 (RCC).

Material And Methods: A retrospective evaluation of 122 consecutive patients with 128 tumors treated with cryoablation during 2016-2017.

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Artificial intelligence (AI) has the potential to increase quality and efficiency of breast cancer screening. Recent studies have provided comparative data on AI versus human performance in cancer detection with encouraging results, and commercially available AI systems are used worldwide as a clinical tool for mammography screening. There are, however, a number of methodological concerns in relation to the evaluation of AI systems.

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Cryoablation is a well-established treatment option, proven to be successful in treating local renal cell carcinoma (RCC). We treated a 67-year-old man in an outpatient setting with late onset of a 25 mm solitary soft-tissue metastasis of from RCC with cryoablation. The treatment was performed under sedation and in local anaesthesia.

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To monitor wound healing, it is essential to obtain accurate and reliable wound measurements. Various methods have been used to measure wound size including three-dimensional (3D) measurement devices enabling wound assessment from a volume perspective. However, the currently available methods are inaccurate, costly, or complicated to use.

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Objective: The role of telemedical monitoring in diabetic foot ulcer care is still uncertain. Our aim was to compare telemedical and standard outpatient monitoring in the care of patients with diabetic foot ulcers in a randomized controlled trial.

Research Design And Methods: Of the 736 screened individuals with diabetic foot ulcers, 401 met the eligibility criteria and were randomized between October 2010 and November 2014.

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Introduction: Infection by Pseudomonas aeruginosa represents a major cause of morbidity and mortality among immunocompromised patients. In Denmark, an increase in P. aeruginosa isolates from blood cultures from a haematology department prompted a hygienic audit in 2007.

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