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Background: This study aimed to assess the diagnostic value and safety of using Pulmonary Embolism Rule-Out Criteria (PERC) in an emergency care setting.
Methods: We conducted a retrospective application of the PERC to the patients suspected of having pulmonary embolism (PE) and who underwent computed tomography pulmonary angiogram (CTPA) Karolinska University Hospital's emergency department (ED) from 2016 to 2017. The patient data, including D-dimer (DD) and ED waiting times were extracted from the Karolinska Venous Thromboembolism cohort (VTE cohort).
Nephrology providers' perspective and use of mortality prognostic tools in dialysis patients.
BMC Nephrol
November 2024
Division of Nephrology, Department of Medicine, The University of Vermont Medical Center, Burlington, VT, USA.
Background: Mortality prognostic tools exist to aid in shared decision making with kidney failure patients but are underutilized. This study aimed to elucidate nephrology providers' practice patterns and understand barriers to prognostic tool use.
Methods: Nephrology providers (8 physicians and 2 nurse practitioners) at an academic medical center underwent semi-structured interviews regarding their experience and perspective on the utility of mortality prognostic tools.
Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic Review.
J Med Internet Res
November 2024
Dyson School of Design Engineering, Imperial College London, London, United Kingdom.
Background: With the extensive volume of information from various and diverse data sources, it is essential to present information in a way that allows for quick understanding and interpretation. This is particularly crucial in health care, where timely insights into a patient's condition can be lifesaving. Holistic visualizations that integrate multiple data variables into a single visual representation can enhance rapid situational awareness and support informed decision-making.
View Article and Find Full Text PDFAccentuation, Boolean maps and perception of (dis)similarity in a neural model of visual segmentation.
Vision Res
December 2024
University of Rijeka, Rijeka, Croatia.
We developed an interactive cortical circuit for visual segmentation that integrates bottom-up and top-down processing to segregate or group visual elements. A bottom-up pathway incorporates stimulus-driven saliency computation, top-down feature-based weighting by relevance and winner-take-all selection. A top-down pathway encompasses multiscale feedback projections, an object-based attention network and a visual segmentation network.
View Article and Find Full Text PDFPilot deployment of a machine-learning enhanced prediction of need for hemorrhage resuscitation after trauma - the ShockMatrix pilot study.
BMC Med Inform Decis Mak
October 2024
Service d'Anesthésie Réanimation Chirurgicale, DMU 12 Anesthésie Réanimation Chirurgicale Médecine Péri-Opératoire et Douleur Hôpital Bicêtre, AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, Paris, France.
Importance: Decision-making in trauma patients remains challenging and often results in deviation from guidelines. Machine-Learning (ML) enhanced decision-support could improve hemorrhage resuscitation.
Aim: To develop a ML enhanced decision support tool to predict Need for Hemorrhage Resuscitation (NHR) (part I) and test the collection of the predictor variables in real time in a smartphone app (part II).
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