This article examines the impact of Artificial Intelligence (AI) on the comprehensive rehabilitation of post-cancer patients, specifically in the areas of psychological support and cognitive rehabilitation. AI platforms demonstrate the ability to provide personalized psychological interventions in real-time by utilizing advanced machine learning techniques such as Natural Language Processing (NLP), Random Forests, and Long Short-Term Memory (LSTM) networks. The research explores the use of AI in nutritional management for post-cancer care, including genomic-based dietary plans and the impact of nutrient-drug interactions. It emphasizes the ability of AI to rapidly adapt and provide personalized experiences, showing its potential to enhance post-cancer treatment outcomes. The article highlights the need for interdisciplinary collaboration to ensure the ethical and effective implementation of emerging AI technologies. Additional research is recommended to verify the effectiveness of these AI models on larger and more diverse groups of patients.
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Aburub et al. (2024) studied this question.
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