Objective: This study aims to describe the experience of implementing a psychosocial distress screening system for children with serious or chronic medical conditions.
Methods: Achieving RoutIne Screening for Emotional health (ARISE) was developed to systematically evaluate psychosocial distress in children with serious medical or chronic medical illnesses, by integrating patient-reported outcome measures (PROM) into care delivery. ARISE was developed using a user-centered approach with extensive input from patients, families, and healthcare professionals to overcome barriers to routine PROM collection and integration into care as usual.
Background: We aim to use Natural Language Processing to automate the extraction and classification of thyroid cancer risk factors from pathology reports.
Methods: We analyzed 1410 surgical pathology reports from adult papillary thyroid cancer patients from 2010 to 2019. Structured and nonstructured reports were used to create a consensus-based ground truth dictionary and categorized them into modified recurrence risk levels.
Objective: To address thyroid cancer overdiagnosis, we aim to develop a natural language processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS).
Patients And Methods: Between 2017 and 2021, we identified 18,000 TUS patients at Mayo Clinic and selected 628 for chart review to create a ground truth dataset based on consensus. We developed a rule-based NLP pipeline to identify TUS as appropriate TUS (aTUS) or inappropriate TUS (iTUS) using patients' clinical notes and additional meta information.
Quantum key distribution (QKD) is a secure communication scheme for sharing symmetric cryptographic keys based on the laws of quantum physics, and is considered a key player in the realm of cyber-security. A critical challenge for QKD systems comes from the fact that the ever-increasing rates at which digital data are transmitted require more and more performing sources of quantum keys, primarily in terms of secret key generation rate. High-dimensional QKD based on path encoding has been proposed as a candidate approach to address this challenge.
View Article and Find Full Text PDFThis case involves a patient with severe COVID-19 pneumonia and massive pulmonary embolism requiring mechanical ventilation. His clinical course was complicated by delirium likely triggered by his critical illness and failed initial extubation, isolation from family, and escalating fear and desperation. In hopeful preparation for subsequent successful extubation, a unique approach was taken to decrease the risk of panic, delirium, and decompensation leading to reintubation.
View Article and Find Full Text PDFThe protective effect of N-[(3, 5-di-tertiobutyl-4-hydroxy-1-thiophenyl)]-3-propyl-N'-(2,3, 4-trimethoxybenzyl)piperazine (S-15176) on liver injury induced by warm ischemia-reperfusion was investigated using a rat model. Animals were subjected to 2 h of ischemia followed by different reperfusion times. Hepatocyte integrity was assessed by measuring plasma alanine and aspartate aminotransferase activities, and by determining reduced and oxidized glutathione in plasma and bile.
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