Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review (Preprint) DOI
Tigest Tamrat, Yu Zhao, Denise Schalet

et al.

Published: Oct. 23, 2023

BACKGROUND Artificial intelligence (AI) has emerged as a transformative force across the health sector and garnered significant attention within sexual reproductive rights (SRHR) due to polarizing views on its opportunities advance care heightened risks implications it brings people’s well-being bodily autonomy. As fields of AI SRHR evolve, clarity is needed bridge our understanding how being used this historically politicized area raise visibility critical issues that can facilitate responsible meaningful use. OBJECTIVE This paper presents protocol for scoping review synthesize empirical studies focus intersection SRHR. The aims identify characteristics systems tools applied SRHR, regarding domains, intended purpose, target users, data life cycle, evidence benefits harms. METHODS follows standard methodology developed by Arksey O’Malley. We will search following electronic databases: MEDLINE (PubMed), Scopus, Web Science, CINAHL. Inclusion criteria comprise use in clear describing either quantitative or qualitative approaches, including program descriptions. Studies be excluded if they entirely digital interventions do not explicitly tools, are about robotics nonhuman subjects, commentaries. exclude articles based geographic location, language, publication date. study present uses purpose system maturity cycle. Outcome measures reported effect, accuracy, acceptability, resource use, feasibility have deployed evaluated tools. Ethical legal considerations, well findings from studies, synthesized through narrative thematic analysis. PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses Extension Scoping Reviews) format findings. RESULTS database searches resulted 12,793 records when were conducted October 2023. Screening underway, analysis expected completed July 2024. CONCLUSIONS provide key insights usage patterns convey ethical, safety, considerations. outcomes contributing technical brief World Health Organization guide future research practice highly charged work. CLINICALTRIAL OSF Registries osf.io/ma4d9; https://osf.io/ma4d9 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/53888

Language: Английский

Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review DOI Creative Commons
Moustafa Laymouna, Yuanchao Ma, David Lessard

et al.

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e56930 - e56930

Published: April 12, 2024

Background Chatbots, or conversational agents, have emerged as significant tools in health care, driven by advancements artificial intelligence and digital technology. These programs are designed to simulate human conversations, addressing various care needs. However, no comprehensive synthesis of chatbots’ roles, users, benefits, limitations is available inform future research application the field. Objective This review aims describe characteristics, focusing on their diverse roles pathway, user groups, limitations. Methods A rapid published literature from 2017 2023 was performed with a search strategy developed collaboration sciences librarian implemented MEDLINE Embase databases. Primary studies reporting chatbot benefits were included. Two reviewers dual-screened results. Extracted data subjected content analysis. Results The categorized into 2 themes: delivery remote services, including patient support, management, education, skills building, behavior promotion, provision administrative assistance providers. User groups spanned across patients chronic conditions well cancer; individuals focused lifestyle improvements; demographic such women, families, older adults. Professionals students also alongside seeking mental behavioral change, educational enhancement. chatbots classified improvement quality efficiency cost-effectiveness delivery. identified encompassed ethical challenges, medicolegal safety concerns, technical difficulties, experience issues, societal economic impacts. Conclusions Health offer wide spectrum applications, potentially impacting aspects care. While they promising for improving quality, integration system must be approached consideration ensure optimal, safe, equitable use.

Language: Английский

Citations

36
Sexual health in the era of artificial intelligence: a scoping review of the literature DOI Creative Commons
Elia Abou Chawareb, Brian H. Im,

Silong Lu

et al.

Sexual Medicine Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Abstract Introduction Artificial Intelligence (AI) has witnessed significant growth in the field of medicine, leveraging machine learning, artificial neuron networks, and large language models. These technologies are effective disease diagnosis, education, prevention, while raising ethical concerns potential challenges. However, their utility sexual medicine remains relatively unexplored. Objective We aim to provide a comprehensive summary status AI medicine. Methods A search was conducted using MeSH keywords, including "artificial intelligence," "sexual medicine," health," "machine learning." Two investigators screened articles for eligibility within PubMed MEDLINE databases, with conflicts resolved by third reviewer. Articles English that reported on health were included. total 69 full-text systematically analyzed based predefined inclusion criteria. Data extraction included information article characteristics, study design, assessment methods, outcomes. Results The initial yielded 905 relevant Upon assessing full texts 121 eligibility, 52 studies unrelated excluded, resulting systematic review. analysis revealed AI's accuracy preventing, diagnosing, decision-making sexually transmitted diseases. also demonstrated ability diagnose offer precise treatment plans male female dysfunction infertility, accurately predict sex from bone teeth imaging, correctly orientation relationship issues. emerged as promising modality implications future Conclusions Further research is essential unlock presents advantages such accessibility, user-friendliness, confidentiality, preferred source information. it still lags human healthcare providers terms compassion clinical expertise.

Language: Английский

Citations

1
How chatbots perceive sexting by adolescents DOI Creative Commons
Tsameret Ricon

Computers in Human Behavior Artificial Humans, Journal Year: 2024, Volume and Issue: 2(1), P. 100068 - 100068

Published: Jan. 1, 2024

This study compares the perceptions and attitudes of two AI chatbots – Claude ChatGPT towards sexting by adolescents. Sexting, defined as sharing sexually explicit messages or images, is increasingly common among teenagers has sparked ethical debates on consent, privacy, potential harm. The employs qualitative content analysis to investigate how systems address complex issues related sexting. were queried Dec 2023 about legitimacy in adolescent relationships, non-consensual sexts, privacy risks. Their responses analyzed for themes appropriateness, harm, specificity recommendations offered. Key differences emerged their stances. declined render definitive value judgments, instead emphasizing evaluating risks versus rewards, seeking prevent harm providing concrete advice. was more abstract, stating that appropriateness depends societal norms. While provided a harm-centric framing emotional, reputational, legal consequences activities such nonconsensual "revenge porn," used tentative language. Finally, offered actionable guidance aligned with research insights, while reiterated need respect consent without clearly outlining next steps. Overall, demonstrated greater nuance reasoning issues, showed subjectivity tied standards.

Language: Английский

Citations

6
The impact of Chatbot-Assisted Self Assessment (CASA) on intentions for sexual health screening in people from minoritised ethnic groups at risk of sexually transmitted infections DOI
Tom Nadarzynski, Nicky Knights, Deborah Husbands

et al.

Sexual Health, Journal Year: 2024, Volume and Issue: 21(4)

Published: July 24, 2024

Background Sexually transmitted infections (STIs) present a significant global public health issue, with disparities in STI rates often observed across ethnic groups. The study investigates the impact of Chatbot-Assisted Self Assessment (CASA) on intentions for sexual screening within minoritised groups (MEGs) at risk STIs as well subsequent use chatbot booking screening. Methods A simulation within-subject design was utilised to evaluate effect CASA STI/HIV screening, concern about STIs, and attitudes towards Screening served dependent variable, while demographic behavioural factors related were independent variables. ANCOVA tests conducted measure these perceptions. Results Involving 548 participants (54% women, 66% black, average age = 30 years), found that positively influenced t(547) −10.3, P < 0.001], concerns t(544) −4.96, 0.001, [t(543) −4.36, 0.001. Positive (mean, 13.30; s.d., 6.73; range, −17 21). About 72% users who booked appointments via from MEGs. Conclusion increased motivations among ethnically diverse communities. intervention’s non-judgemental nature chatbot’s ability emulate history-taking critical fostering an environment conducive intention change. study’s high acceptability indicates potential broader application digital interventions. However, limitation not tracking actual post-intervention behaviour warrants further investigation into CASA’s real-world efficacy.

Language: Английский

Citations

4
The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024 DOI Creative Commons
Nicola Döring,

Thuy Dung Le,

Laura M. Vowels

et al.

Current Sexual Health Reports, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 4, 2024

Language: Английский

Citations

4
Are mHealth Interventions Effective in Improving the Uptake of Sexual and Reproductive Health Services among Adolescents? A Scoping Review DOI Open Access
Nazeema Isaacs, Xolani Ntinga,

Thabo Keetsi

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2024, Volume and Issue: 21(2), P. 165 - 165

Published: Jan. 31, 2024

Adolescents continue to face challenges their sexual and reproductive health (SRH) both locally internationally. Digital technologies such as the Internet, text messaging, social media are often viewed valuable tools for disseminating information on SRH. Mobile health, also known mHealth, is a medical public practise that uses these digital communicate information. The literature has revealed mHealth interventions have positive outcome in delivering SRH adolescents. This review aimed synthesise empirical studies evaluate assess extent which promote outcomes among young people. scoping reviewed across four databases, including EBSCOhost, Scopus, Proquest, Cochrane, included 12 articles. findings shown effective enhancing knowledge attitudes people low-middle high-income countries. However, comprehensive longitudinal necessary measure sustainability long-term influence of behaviour. It recommended with artificial intelligence (AI) improvements, there possible path bolstering interventions.

Language: Английский

Citations

4
Opening the digital doorway to sexual healthcare: Recommendations from a behaviour change wheel analysis of barriers and facilitators to seeking online sexual health information and support among underserved populations DOI Creative Commons
Julie McLeod, Claudia Estcourt, Jennifer MacDonald

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0315049 - e0315049

Published: Jan. 8, 2025

Background The ability to access and navigate online sexual health information support is increasingly needed in order engage with wider healthcare. However, people from underserved populations may struggle pass though this “digital doorway”. Therefore, using a behavioural science approach, we first aimed identify barriers facilitators i) seeking ii) support. Subsequently, generate theory-informed recommendations improve these points. Methods PROGRESSPlus framework guided purposive recruitment (15.10.21–18.03.22) of 35 UK participants diverse backgrounds, including 51% the most deprived areas 26% minoritised ethnic groups. Using semi-structured interviews thematic analysis, identified A Behaviour Change Wheel (BCW) analysis then better meet needs populations. Results We found facilitators. Barriers included low awareness familiarity support; perceptions that were unlikely populations; overwhelming volume sources; lack personal relevancy; chatbots/automated responses; response wait times. Facilitators clarity about credibility quality; inclusive content; in-person assistance. Recommendations included: Education Persuasion e.g., offline promotion endorsement by healthcare professionals peers; Training Modelling accessible training enhance searching skills appraisal; Environmental Restructuring Enablement modifications ensure are simple easy use, video/audio options for content. Conclusions Given many services now digital, our analyses produced pivotal increasing among Implementing could reduce inequalities associated accessing service.

Language: Английский

Citations

0
The digital transformation of sexual and reproductive health care DOI
Paula Baraitser

BMJ Sexual & Reproductive Health, Journal Year: 2025, Volume and Issue: unknown, P. bmjsrh - 202735

Published: April 11, 2025

Language: Английский

Citations

0
Evaluation of artificial intelligence (AI) chatbots for providing sexual health information: a consensus study using real-world clinical queries DOI Creative Commons
Phyu Mon Latt, Ei T. Aung, Kay Htaik

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: May 15, 2025

Language: Английский

Citations

0
Navigating challenges and opportunities: AI's contribution to Pakistan's sustainable development goals agenda – a narrative review DOI Creative Commons
Abhishek Lal, Fahad Umer

Journal of the Pakistan Medical Association, Journal Year: 2024, Volume and Issue: 74(4)

Published: May 3, 2024

Sustainable Developmental Goals (SDGs) were introduced by the United Nations to ensure sustainable progress of mankind through various domains. Pakistan, a low-middle-income country, faces many challenges in achieving SDGs. Artificial Intelligence is rapidly evolving technology presenting significant importance Therefore, this narrative review aimed evaluate artificial intelligence technologies that have been utilized globally and nationally which can be implemented Pakistan focusing on Goal 3 (Good Health Well-being) AI has primarily high-income countries aiming improve healthcare, thereby progressing towards different targets lacks such initiatives with modest no improvement across adapt undertaken resourceful achieve its own Keywords: Development, Goals, Intelligence, Care, Technology.

Language: Английский

Citations

3