Guidance on selecting and evaluating AI auto-segmentation systems in clinical radiotherapy: insights from a six-vendor analysis.

Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating the most suitable solution. To support the clinical adoption of AI auto-segmentation systems, Selection Criteria recommendations were developed to enable a holistic evaluation of vendors, considering not only raw performance but associated risks uniquely related to the clinical deployment of AI.

Diversity and cross-species transmission of viruses in a remote island ecosystem: implications for wildlife conservation.

The ability of viruses to emerge in new species is influenced by aspects of host biology and ecology, with some taxa harbouring a high diversity and abundance of viruses. However, how these factors shape virus diversity at the ecosystem scale is often unclear. To better understand the pattern and determinants of viral diversity within an ecosystem, and to describe the novel avian viruses infecting an individual avian community, we performed a metagenomic snapshot of the virome from the entire avian community on remote Pukenui/Anchor Island in Aotearoa New Zealand.

Improving Access to Early Developmental Evaluation in Academic Primary Care Centers.

Introduction: Developmental disorders (DDs) affect approximately 1 in 6 children in the United States. Early identification and treatment improve developmental outcomes and child and family functioning. Disparities exist in the diagnosis of DD that leads to inequitable access to developmental services during important periods of neuroplasticity.

Improving consumer trust in digital health: A mixed methods study involving people living with chronic kidney disease.

Aim: To explore preferences, experience and trust in digital health in people living with chronic kidney disease (CKD), and tailor these findings towards solutions that may enhance uptake of digital health services.

Methods: Mixed methods study, with cross-sectional survey and individual interviews with adults living with CKD attending specialist appointments at an Australian metropolitan hospital. Descriptive statistics and Wilcoxon matched-pairs test were used for survey responses and thematic analysis of interview transcripts, both reported on a theme-by-theme basis provided an overall understanding of trust in digital healthcare.

The value of diabetes technology enabled coaching (DTEC) to support remission evaluation of medical interventions in T2D: Patient and health coach perspectives.

The multicomponent Remission Evaluation of Medical Interventions in T2D (REMIT) program has shown reduction of hazard of diabetes relapse by 34-43%, but could benefit from improved ability to scale, spread, and sustain it. This study explored, at the conceptualization phase, patient and health coach perspectives on the acceptability, adoption, feasibility, and appropriateness of a digital REMIT adaptation (diabetes technology enabled coaching (DTEC)). Twelve semi-structured interviews were conducted with patients (n = 6) and health coaches (n = 6) to explore their experiences with the REMIT study, opportunities for virtualisation, and a cognitive walkthrough of solution concepts.