AIMC Topic: Sexual Behavior
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Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China.
Annals of medicine
Mar 10, 2025
OBJECTIVE: This study aimed to construct a model based on machine learning to predict new HIV infections in HIV-negative men who have sex with men (MSM).
Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.
Journal of psychopathology and clinical science
Jun 17, 2024
Problematic pornography use (PPU) is the most common manifestation of the newly introduced compulsive sexual behavior disorder diagnosis in the 11th revision of the International Classification of Diseases. Research related to PPU has proliferated in...
When does "no" mean no? Insights from sex robots.
Cognition
Dec 27, 2023
Although sexual assault is widely accepted as morally wrong, not all instances of sexual assault are evaluated in the same way. Here, we ask whether different characteristics of victims affect people's moral evaluations of sexual assault perpetrators...
Use of Natural Language Processing to Identify Sexual and Reproductive Health Information in Clinical Text.
Methods of information in medicine
Dec 20, 2023
OBJECTIVES: This study aimed to enable clinical researchers without expertise in natural language processing (NLP) to extract and analyze information about sexual and reproductive health (SRH), or other sensitive health topics, from large sets of cli...
Objective analysis of partial three-dimensional rotator cuff muscle volume and fat infiltration across ages and sex from clinical MRI scans.
Scientific reports
Sep 1, 2023
Objective analysis of rotator cuff (RC) atrophy and fatty infiltration (FI) from clinical MRI is limited by qualitative measures and variation in scapular coverage. The goals of this study were to: develop/evaluate a method to quantify RC muscle size...
Using Machine Learning to Identify Predictors of Sexually Transmitted Infections Over Time Among Young People Living With or at Risk for HIV Who Participated in ATN Protocols 147, 148, and 149.
Sexually transmitted diseases
Aug 16, 2023
BACKGROUND: Sexually transmitted infections (STIs) among youth aged 12 to 24 years have doubled in the last 13 years, accounting for 50% of STIs nationally. We need to identify predictors of STI among youth in urban HIV epicenters.
Application of machine learning for risky sexual behavior interventions among factory workers in China.
Frontiers in public health
Aug 3, 2023
INTRODUCTION: Assessing the likelihood of engaging in high-risk sexual behavior can assist in delivering tailored educational interventions. The objective of this study was to identify the most effective algorithm and assess high-risk sexual behavior...
Deep Learning in the Identification of Electroencephalogram Sources Associated with Sexual Orientation.
Neuropsychobiology
Jun 27, 2023
INTRODUCTION: It is unclear if sexual orientation is a biological trait that has neurofunctional footprints. With deep learning, the power to classify biological datasets without an a priori selection of features has increased by magnitudes. The aim ...
East-West Dialogues on the Ethics of Sex Robots.
HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues
Jun 2, 2023
The purpose of this essay is to review and evaluate chapters in Fan and Cherry's Sex Robots: Social Impact and the Future of Human Relations. In this edited volume, the authors of the various chapters present dialogues from the East and West to explo...
Hot for Robots! Sexual Arousal Increases Willingness to Have Sex with Robots.
Journal of sex research
Nov 30, 2022
Robots designed to elicit sexual arousal are coming. Sexual arousal can increase our willingness to engage in risky or unconventional sexual behaviors. However, researchers have yet to examine whether this effect extends to robots. Hence, this study ...
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