Publications by authors named "M Kalra"

Background: Obstructive sleep apnea (OSA) is a severe condition associated with numerous cardiovascular complications, including heart failure. The complex biological and morphological relationship between OSA and atherosclerotic cardiovascular disease (ASCVD) poses challenges in predicting adverse cardiovascular outcomes. While artificial intelligence (AI) has shown potential for predicting cardiovascular disease (CVD) and stroke risks in other conditions, there is a lack of detailed, bias-free, and compressed AI models for ASCVD and stroke risk stratification in OSA patients.

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Objectives: To map the context of sedentary behaviour in older adults who are prefrail and frail during the winter and spring over 3 days (2 weekdays and 1 weekend) and to determine if certain types of sedentary behaviours are associated with health outcomes.

Design: Mixed methods, prospective longitudinal cohort study.

Setting: Community-dwelling older adults living in southern Ontario, Canada.

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Objective: To compare target artery (TA) outcomes after fenestrated or branched endovascular aortic repair (FB-EVAR) versus open surgical repair (OSR) of thoracoabdominal aortic aneurysms (TAAAs).

Background: Few studies have compared TA outcomes after endovascular incorporation and open reconstruction.

Methods: Among consecutive patients who underwent elective OSR or FB-EVAR of TAAAs (2008-2020), we reviewed those who had postoperative imaging studies evaluating TA.

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Objective: Postoperative gastrointestinal hemorrhage (GIH) following mesenteric revascularization when performed either openly (OR) or endovascularly (ER) has been clinically observed but not reported. The aim of the study is to assess the incidence and predictors of GIH in patients undergoing mesenteric revascularization.

Methods: This was a single-center retrospective review of consecutive patients treated with open or endovascular mesenteric revascularization from 2009 to 2019.

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Objective: To demonstrate and test the capabilities of the American College of Radiology (ACR) Connect and AI-LAB software platform by implementing multi-institutional artificial intelligence (AI) training and validation for breast density classification.

Methods: In this proof-of-concept study, six U.S.

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