Artificial intelligence and sexual health in the USA.

  title={Artificial intelligence and sexual health in the USA.},
  author={Sean D. Young and Jeffrey S. Crowley and Sten H Vermund},
  journal={The Lancet. Digital health},
  volume={3 8},
3 Citations

Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data

The ethical considerations of using artificial intelligence to monitor social media to understand the public’s perspectives and behaviors surrounding COVID-19, including potential risks and benefits of an AI-driven approach are explored.

The role of social media in monitoring COVID‐19 vaccine uptake

The role of social media in monitoring uptake of the COVID‐19 vaccine is explored and the importance of vaccination to achieve herd immunity, minimise morbidity and mortality from CO VID‐19, and protect lives cannot be overstated.

Potential application of conversational agents in HIV testing uptake among high-risk populations

The feasibility, accessibility and acceptance of using conversational agents for HIV testing outreach is important to evaluate, especially amidst a global coronavirus disease 2019 pandemic when clinical services have been drastically affected.



Sexually Transmitted Infections Among US Women and Men: Prevalence and Incidence Estimates, 2018.

The burden of STIs in the US is high and almost half of incident STIs occurred in persons aged 15-24 years in 2018, suggesting focusing on this population should be considered essential for national STI prevention efforts.

Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic

ML has strong potential to improve delivery of PrEP, with this approach moving from development to implementation, and should be developed and evaluated with attention to equity.

Dissecting racial bias in an algorithm used to manage the health of populations

It is suggested that the choice of convenient, seemingly effective proxies for ground truth can be an important source of algorithmic bias in many contexts.

Enhancing Empathy: a Role for Virtual Reality?

A number of steps may be taken to mitigate the factors that are diminishing empathy and encourage the enhancement of empathy in residency and medical school, as well as more attempts at measuring empathy among resident and medical student populations.

What Role Can Avatars Play in e-Mental Health Interventions? Exploring New Models of Client–Therapist Interaction

Across these applications, avatars appeared to serve several functions conducive to treatment engagement by facilitating the development of a virtual therapeutic alliance, reducing communication barriers, and enabling therapists to control and manipulate treatment stimuli.

Toward Automating HIV Identification: Machine Learning for Rapid Identification of HIV-Related Social Media Data

Introduction: “Social big data” from technologies such as social media, wearable devices, and online searches continue to grow and can be used as tools for HIV research. Although researchers can

Sociodemographic and Clinical Factors Associated With Increasing Bacterial Sexually Transmitted Infection Diagnoses in Men Who Have Sex With Men Accessing Care at a Boston Community Health Center (2005–2015)

Over the past decade, BSTI diagnosis rates increased in HIV-infected and uninfected MSM, with disproportionate increases in PrEP users, racial and ethnic minority MSM, those aged 25 to 34 years, and those without stable health insurance, warranting focused education, screening, and accessible services for these key subpopulations.

HIV, Chlamydia, Gonorrhea, and Primary and Secondary Syphilis among American Indians and Alaska Natives Within Indian Health Service Areas in the United States, 2007–2010

STD and HIV rates among AI/AN were greater in certain IHS Areas than expected from observing national rates forAI/AN, and integrated surveillance of overlapping trends in STDs and HIV may be useful in guiding prevention efforts for AI/ AN populations.