PAM-13 in clinical cancer care: A systematic review.

Background: The Patient Activation Measure-13 (PAM-13) assesses patients' ability to manage their healthcare. This systematic review aimed to summarize the relationship between the PAM-13 and patient characteristics, as well as program effectiveness.

Methods: A systematic literature search was conducted using the PubMed database and following the PRISMA guidelines.

Machine learning prediction of brain metastasis invasion pattern on brain magnetic resonance imaging scans.

Background: Brain metastasis invasion pattern (BMIP) is an emerging biomarker associated with recurrence-free and overall survival in patients, and differential response to therapy in preclinical models. Currently, BMIP can only be determined from the histopathological examination of surgical specimens, precluding its use as a biomarker prior to therapy initiation. The aim of this study was to investigate the potential of machine learning (ML) approaches to develop a noninvasive magnetic resonance imaging (MRI)-based biomarker for BMIP determination.

Radiology resident proficiency in identifying misplaced lines, tubes, and devices: a simulation-based study using WIDI SIM.

Purpose: Accurate placement of medical devices is crucial in critical care to prevent severe complications. This study aims to evaluate radiology residents' proficiency in identifying four specific critical misplacements of medical devices using the Wisdom in Diagnostic Imaging Simulation (WIDI SIM).

Methods: A retrospective analysis was conducted on 1,102 responses from radiology residents who participated in the WIDI SIM between 2010 and 2022.

Correlation between adult trauma center status and radiology resident performance on trauma cases in the WIDI SIM exam.

Purpose: To assess whether adult trauma center status influences radiology resident performance on trauma cases in the Emergent/Critical Care Imaging SIMulation (WIDI SIM) exam.

Materials And Methods: This retrospective study analyzed 29,290 WIDI SIM exam scores from 110 adult trauma cases across 55 radiology residency programs. Residents were categorized by training level-R1 (n = 17,801), R2 (n = 9,136), R3 (n = 1,826), R4 (n = 527)-and by their program's adult trauma center designation: Level 1 (n = 20,121), Level 2 (n = 1,870), Level 3 (n = 1,029), Level 4 (n = 487), and no trauma designation (n = 5,834).

Genomic analysis of the early COVID-19 pandemic in Haiti reveals Caribbean-specific variant dynamics.

Pathogen sequencing during the COVID-19 pandemic has generated more whole genome sequencing data than for any other epidemic, allowing epidemiologists to monitor the transmission and evolution of SARS-CoV-2. However, large parts of the world are heavily underrepresented in sequencing efforts, including the Caribbean islands. We performed genome sequencing of SARS-CoV-2 from upper respiratory tract samples collected in Haiti during the spring of 2020.