Thank You Radiopedia

Knipe, Henry; Mohan, Abhinav

doi:10.53347/rid-43197

Cited by 2 publications

(5 citation statements)

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“…The most common organs affected were the spleen and the liver. This is comparable to the literature around the world with 80–95% patients having associated organ injuries [7, 23, 24]. We observed a relatively high mortality in patients with low‐grade renal trauma and other concomitant injuries.…”

Section: Discussionsupporting

confidence: 88%

“…Blunt injuries, particularly RTIs and falls, were the most common mechanism. This is similar to the global literature, wherein patients afflicted with renal trauma have been predominantly young, with a mean age between 30 and 40; mostly male, reflecting 70–90% of cases; and due to blunt trauma mechanism, particularly road traffic injury [7, 23, 25]. Renal trauma was observed mainly in pedestrians and motorcyclists among the RTIs.…”

Section: Discussionsupporting

confidence: 86%

“…We found renal trauma to be present in around 1% of patients admitted for trauma and 13% of patients with abdominal trauma in this Indian cohort. This is comparable to global trauma literature with renal trauma present in around 0.5–5% of patients admitted for trauma and 8–20% of patients with abdominal trauma [4, 6, 7, 18].…”

Section: Discussionsupporting

confidence: 82%

“…The American Association for the Surgery of Trauma (AAST) classifies renal trauma into five grades of increasing severity [7]. Advances in imaging and endovascular techniques in high‐income settings (HICs) have resulted in an increase in nonoperative management of renal trauma, including those with high AAST grades (III–V) [8–10].…”

Section: Introductionmentioning

confidence: 99%

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Outcomes of Renal Trauma in Indian Urban Tertiary Healthcare Centres: A Multicentre Cohort Study

et al. 2021

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Background Renal trauma is present in 0.5–5% of patients admitted for trauma. Advancements in radiologic imaging and minimal-invasive techniques have led to decreased need for surgical intervention. We used a large trauma cohort to characterise renal trauma patients, their management and outcomes. Methods We analysed “Towards Improved Trauma Care Outcomes in India” cohort from four urban tertiary public hospitals in India between 1st September 2013 and 31st December 2015. The data of patients with renal trauma were extracted using International Classification of Diseases 10 codes and analysed for demographic and clinical details. Results A total of 16,047 trauma patients were included in this cohort. Abdominal trauma comprised 1119 (7%) cases, of which 144 (13%) had renal trauma. Renal trauma was present in 1% of all the patients admitted for trauma. The mean age was 28 years (SD-14.7). A total of 119 (83%) patients were male. Majority (93%) were due to blunt injuries. Road traffic injuries were the most common mechanism (53%) followed by falls (29%). Most renal injuries (89%) were associated with other organ injuries. Seven of the 144 (5%) patients required nephrectomy. Three patients had grade V trauma; all underwent nephrectomy. The 30-day in-hospital mortality, in patients with renal trauma, was 17% (24/144). Conclusion Most renal trauma patients were managed nonoperatively. 89% of patients with renal trauma had concomitant injuries. The renal trauma profile from this large cohort may be generalisable to urban contexts in India and other low- and middle-income countries.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

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Outcomes of Renal Trauma in Indian Urban Tertiary Healthcare Centres: A Multicentre Cohort Study

et al. 2021

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“…Here, "conditions" refer to lesions identified through ground truth labels derived from the REFLACX dataset. Utilizing these lesion labels as a foundation, we query and retrieve documents from two distinguished online resources: Radiopedia [27] and Wikipedia [36]. Radiopedia, a collaborative online platform dedicated to radiology, offers an extensive compilation of radiology cases, articles, and reference materials, serving as a pivotal educational and knowledge-sharing tool within the radiology domain.…”

Section: A Phase I: Clinical Context Extraction and Storagementioning

confidence: 99%

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2020

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Membership Inference (MI) poses a substantial privacy threat to the training data of Automatic Speech Recognition (ASR) systems, while also offering an opportunity to audit these models with regard to user data. This paper explores the effectiveness of loss-based features in combination with Gaussian and adversarial perturbations to perform MI in ASR models. To the best of our knowledge, this approach has not yet been investigated. We compare our proposed features with commonly used error-based features and find that the proposed features greatly enhance performance for sample-level MI. For speaker-level MI, these features improve results, though by a smaller margin, as error-based features already obtained a high performance for this task. Our findings emphasise the importance of considering different feature sets and levels of access to target models for effective MI in ASR systems, providing valuable insights for auditing such models.

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Thank You Radiopedia

Cited by 2 publications

References 0 publications

Outcomes of Renal Trauma in Indian Urban Tertiary Healthcare Centres: A Multicentre Cohort Study

Outcomes of Renal Trauma in Indian Urban Tertiary Healthcare Centres: A Multicentre Cohort Study

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