Current availability of radiotherapy devices in Peru and artificial intelligence-based analysis for constructing a nationwide implementation plan.

Purpose: We provide for the first time a comprehensive situational diagnosis and propose an artificial intelligence (AI)-assisted nationwide plan of implementation, attending the most urgent needs.

Methods: Baseline information was collected from open-source databases of the Peruvian Government. Data on cancer incidence from the Health Authorities and GLOBOCAN were collected and compared.

Disparities in Telehealth Uptake for Developmental-Behavioral Pediatric Assessments by Preferred Family Language: A Developmental Behavioral Pediatrics Research Network Study.

Objective: Owing to the coronavirus disease 2019 (COVID-19) pandemic, many developmental-behavioral pediatric (DBP) practices adopted telehealth for care delivery. However, telehealth access and use for families with a preferred language other than English (PLOE) is an equity concern. Therefore, our study objective is to compare rates of telehealth utilization and visit completion by preferred family language among patients seen for DBP assessments during the COVID-19 pandemic.

Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial.

Background: Sexual and gender minority (SGM) young people are disproportionately affected by HIV in the United States, and substance use is a major driver of new infections. People who use web-based venues to meet sex partners are more likely to report substance use, sexual risk behaviors, and sexually transmitted infections. To our knowledge, no machine learning (ML) interventions have been developed that use web-based and digital technologies to inform and personalize HIV and substance use prevention efforts for SGM young people.