"May we be the bridge and boat to cross the water": Community-engaged research on metta meditation.

Inclusive research is needed to understand how contemplative practices are used by people of diverse identities. Metta meditation-also known as loving-kindness meditation-may be particularly relevant for people committed to equity and justice because of the social nature of the practice. Using community-based participatory research and an intersectional framework, we assessed how people in a diverse meditation community teach and practice metta meditation.

Emergency medical services level of training is associated with mortality in trauma patients: A combined prehospital and in hospital database analysis.

Background: There is conflicting evidence regarding emergency medical service (EMS) provider level of training and outcomes in trauma. We hypothesized that advanced life support (ALS) provider transport is associated with lower mortality compared with basic life support transport.

Methods: We performed secondary analysis of a combined prehospital and in-hospital database of trauma patients utilizing ESO electronic medical records from 2018 to 2022.

Anaesthetic management of a large multi-nodular goitre with dynamic bilateral carotid artery compression.

Dynamic carotid compression arising from a change in patient position is a rare complication of goitre, with the potential for cerebral ischaemia and infarction. In this report, a 37-year-old woman presented with a multi-nodular goitre with clinical features concerning for transient cerebral ischaemia. The anaesthetic management and neurological monitoring used to mitigate the risk of cerebral ischaemia during thyroidectomy is described and the literature surrounding this rare complication is explored.

Cardiopulmonary Substructure Doses are Not Correlated With Cardiorespiratory Fitness Among Breast Cancer Survivors Treated With Contemporary Radiation Therapy.

Purpose: Breast cancer radiation therapy (RT) techniques have historically delivered mean heart doses (MHDs) in the range of 5 Gy, which have been found to predispose patients to cardiopulmonary toxicities. The purpose of this study was to apply artificial intelligence (AI) cardiac substructure auto-segmentation to evaluate the corresponding substructure doses, whether there are laterality- and technique-specific differences in these doses, and if the doses are significantly associated with cardiorespiratory fitness after state-of-the-art RT planning and delivery for breast cancer.

Methods And Materials: Cardiopulmonary substructures were AI auto-segmented.

Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine.

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of medicine. Healthcare organizations are now starting to establish management strategies for integrating such platforms (AI-ML toolsets) which leverage the computational power of advanced algorithms to analyze data and to provide better insights which ultimately translates to enhanced clinical decision-making and improved patient outcomes. Emerging AI-ML platforms and trends in pathology and medicine are reshaping the field by offering innovative solutions to enhance diagnostic accuracy, operational workflows, clinical decision support, and clinical outcomes.