Human-AI Synergy in Oncology and Cybersecurity: Ethical Clinical Intelligence for Patient Care and Organ Trafficking Prevention

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.