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.

Continuous versus intermittent tacrolimus for graft-versus-host disease prophylaxis in pediatric hematopoietic stem cell transplantation patients (Tic Tac).

Background: Tacrolimus is administered via a continuous or intermittent IV infusion to prevent acute graft versus host disease (aGvHD) in pediatric hematopoietic stem cell transplant (HSCT) recipients. Limited comparison data is available.

Objectives: The primary objective was to compare the proportion of therapeutic tacrolimus trough levels in the first 30 days post-stem cell infusion.

Evaluating the prognostic value of radiomics and clinical features in metastatic prostate cancer using [Ga]Ga-PSMA-11 PET/CT.

Prostate cancer is a significant global health issue due to its high incidence and poor outcomes in metastatic disease. This study aims to develop models predicting overall survival for patients with metastatic biochemically recurrent prostate cancer, potentially helping to identify high-risk patients and enabling more tailored treatment options. A multi-centre cohort of 180 such patients underwent [Ga]Ga-PSMA-11 PET/CT scans, with lesions semi-automatically segmented and radiomic features extracted from lesions.

A translationally informed approach to vital signs for psychiatry: a preliminary proof of concept.

The nature of data obtainable from the commercial smartphone - bolstered by a translational model emphasizing the impact of social and physical zeitgebers on circadian rhythms and mood - offers the possibility of scalable and objective vital signs for major depression. Our objective was to explore associations between passively sensed behavioral smartphone data and repeatedly measured depressive symptoms to suggest which features could eventually lead towards vital signs for depression. We collected continuous behavioral data and bi-weekly depressive symptoms (PHQ-8) from 131 psychiatric outpatients with a lifetime DSM-5 diagnosis of depression and/or anxiety over a 16-week period.