Female patients with rare cancers face multiple psychological pressures caused by the rarity of their diseases, including lack of information and insufficient social support. Traditional psychological intervention models struggle to provide timely, continuous, and personalized support. This study explores the application value of high technology and artificial intelligence in managing the mental health of this patient group. By analyzing key technologies such as AI chatbots, virtual reality, wearable devices and the Internet of Things, as well as big data and machine learning, a psychological health management system based on artificial intelligence was constructed. The research findings indicate that these technologies can provide continuous companionship and communication, personalized psychological therapy, real-time health monitoring, and precise interventions. They show significant advantages in emotional regulation, disease education and self-management, social support, and remote care, effectively addressing the unique psychological needs of rare cancer patients. However, challenges such as limitations in technological accuracy, lack of cultural adaptability, and varying levels of patient acceptance still require attention. Future development should focus on creating a more flexible and inclusive technological ecosystem, emphasizing human-machine collaboration, and viewing technology as an effective complement to professional medical services, ultimately achieving an "invisible" mental health management model.

Kathy Sun. The Application of High Technology and Artificial Intelligence in the Mental Health Management of Female Rare Cancer Patients. Academic Journal of Medicine & Health Sciences (2025), Vol. 6, Issue 5: 56-62. https://doi.org/10.25236/AJMHS.2025.060509.

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