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Human-AI Synergy in Oncology and Cybersecurity
0
Zitationen
6
Autoren
2026
Jahr
Abstract
Artificial Intelligence (AI) has the potential to revolutionize oncology by improving cancer diagnosis and treatment planning through the analysis of medical images, genomics, and patient history. Despite its benefits, challenges such as misdiagnosis, clinician skill variation, treatment delays, interpretability issues, model bias, and ethical concerns prevent complete automation in oncology. To address these issues, this research proposes an Ethical AI-driven Cancer Diagnosis & Treatment system uses TCGA data, CNNs, Grad-CAM, and human-in-the-loop.y. A human-in-the-loop strategy allows oncologists to validate AI-generated insights, reinforcing trust and clinical reliability. Results confirm that CNN-based models improve diagnostic accuracy, reduce misdiagnosis, and support precision medicine while upholding ethical standards, data privacy, and patient-centered care.
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