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Artificial Intelligence and Machine Learning in Sexual Health and Dysfunction Across the Cancer Care Continuum: A

Vivian Salama1,2, Brandon M Godinich3, Peyton M Lilly4

  • 1Department of Medical Oncology, WVU School of Medicine, West Virginia University Cancer Institute, West Virginia University, Morgantown, WV 26506, USA.

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Summary

Sexual dysfunction is a common issue for cancer patients and the general population. Addressing sexual health problems is crucial for improving patient well-being and quality of life.

Keywords:
artificial intelligencecancermachine learningoncologysexual dysfunctionsexual health

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Area of Science:

  • Oncology
  • Sexual Medicine
  • Patient Health

Background:

  • Sexual dysfunction (SD) is a prevalent and distressing issue affecting numerous patients.
  • These sexual health problems are frequently under-addressed in clinical settings.
  • SD impacts both male and female patients, irrespective of cancer diagnosis.

Purpose of the Study:

  • To highlight the commonality and impact of sexual dysfunction.
  • To emphasize the under-addressed nature of sexual health concerns in patient care.
  • To advocate for improved recognition and management of SD in diverse patient populations.

Main Methods:

  • Literature review on sexual dysfunction prevalence and impact.
  • Analysis of clinical under-addressing of sexual health issues.
  • Synthesis of data across male and female patient groups, with and without cancer.

Main Results:

  • Sexual dysfunction is a widespread problem across various patient groups.
  • A significant gap exists in addressing sexual health concerns during patient consultations.
  • Both oncologic and non-oncologic patients experience distressing sexual health issues.

Conclusions:

  • Sexual dysfunction requires greater clinical attention and integrated management strategies.
  • Healthcare providers should proactively screen for and discuss sexual health concerns.
  • Improving sexual health is integral to comprehensive patient care and well-being.