AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Sexual Behavior

Showing 11 to 20 of 33 articles

Clear Filters

Impact of Age and Sex on COVID-19 Severity Assessed From Radiologic and Clinical Findings.

Frontiers in cellular and infection microbiology
BACKGROUND: Data on the epidemiological characteristics and clinical features of COVID-19 in patients of different ages and sex are limited. Existing studies have mainly focused on the pediatric and elderly population.

Human-Robot Interaction and Sexbots: A Systematic Literature Review.

Sensors (Basel, Switzerland)
At present, sexual robots have become a new paradigm of social robots. In this paper, we developed a systematic literature review about sexual robots (sexbots). To do this, we used the Scopus and WoS databases to answer different research questions r...

Importance of considering interest in sex when evaluating satisfaction after robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To assess the impact of patients' interest in sex on the satisfaction after robot-assisted radical prostatectomy, longitudinal changes of urinary and sexual functions and bothers were evaluated.

Logistic Regression With Machine Learning Sheds Light on the Problematic Sexual Behavior Phenotype.

Journal of addiction medicine
OBJECTIVES: There has been a longstanding debate about whether the mechanisms involved in problematic sexual behavior (PSB) are similar to those observed in addictive disorders, or related to impulse control or to compulsivity. The aim of this report...

Hot for Robots! Sexual Arousal Increases Willingness to Have Sex with Robots.

Journal of sex research
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 ...

Application of machine learning for risky sexual behavior interventions among factory workers in China.

Frontiers in public health
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
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
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...

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
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.