Off-label Use of Long-Acting Injectable Antiretroviral Therapy: A Single Center Retrospective Review of Youth Living With HIV With Detectable HIV RNA Starting Injectable Therapy.

Nineteen youth living with HIV (YLWH) opted for injectable cabotegravir and rilpivirine without oral lead in and without achieving an undetectable HIV viral load (VL) for the 3 months prior to initiation. All achieved undetectable status within 3 months (3 injections) and maintained an undetectable status through 6-12 months of therapy.

Analysis of Potential for User Errors in Mobile Deployment of Radiology Deep Learning for Cardiac Rhythm Device Detection.

We examine how convolutional neural networks (CNNs) for cardiac rhythm device detection can exhibit failures in performance under suboptimal deployment scenarios and examine how medically adversarial image presentation can further impair neural network performance. We validated the publicly available Pacemaker-ID web server and mobile app on 43 local hospital emergency department (ED) cases of patients presenting with a cardiac rhythm device on anterior-posterior (AP) chest radiograph and assessed performance using Cohen's kappa coefficient for inter-rater reliability. To illustrate adversarial performance concerns, we then produced example CNN models using the 65,379 patient MIMIC-CXR chest radiograph retrospective database and evaluated performance with area under the receiver operating characteristic (AUROC).

Estimation of age in unidentified patients via chest radiography using convolutional neural network regression.

Purpose: Patient age has important clinical utility for refining a differential diagnosis in radiology. Here, we evaluate the potential for convolutional neural network models to predict patient age based on anterior-posterior chest radiographs for instances where patients may present for emergency services without the ability to provide this identifying information.

Methods: We used the CheXpert dataset of 224,316 chest radiographs from 65,240 patients to train CNN regression models with ResNet50 and DenseNet121 architectures for prediction of patient age based on anterior-posterior (AP) view chest radiographs.

Assessment of older adults' satisfaction with adult protective services investigation and assistance.

This study examined elder self-neglect client satisfaction with services provided by an Adult Protective Services (APS) program. A total of 77 community-dwelling older adults with APS-substantiated self-neglect responded to the standardized and widely used 8-item Client Satisfaction Questionnaire. Approximately 75% of the participants reported being satisfied with the overall services.