Amiri, Hamidreza, Ghaneiyan, Melina, Farjami, Parisa, Mehran, Helena, Mohammadzadeh, Sanam, Ghaderi, Salar, Niakan, Yasaman, Argani, Pendar, Golnavaz, Maedeh et al (2024) AI-Enhanced Virtual Clinics and Telemedicine for Cancer Treatment. Kindle. ISBN 979-8344473901
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Official URL: https://doi.org/10.5281/zenodo.13993877
Abstract
AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving access to care, diagnostic precision, and personalized treatment options. For patients, especially those in remote areas or with mobility challenges, telemedicine offers a lifeline, enabling them to consult with oncology specialists and receive essential follow-up care without needing to travel. When combined with AI, telemedicine becomes even more powerful. AI algorithms can analyze complex data, such as medical imaging, pathology results, and genomic information, to assist doctors in diagnosing cancers more accurately and tailoring treatment plans based on individual patient profiles.
These virtual clinics use AI-powered tools to monitor patients’ progress, detect early signs of complications, and adjust treatment plans accordingly. For example, AI can track subtle changes in imaging that may indicate tumor growth or response to therapy, alerting physicians to potential issues before they become critical. Moreover, AI-driven predictive models can offer insights into prognosis and guide decision-making, making cancer treatment more proactive and personalized. As telemedicine continues to advance, AI-enhanced virtual clinics promise to make cancer care more accessible, efficient, and effective for patients worldwide.
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