Dual Applications of AI in Healthcare: Enhancing Petroleum Fraud Detection and Pioneering Cancer Therapies
DOI:
https://doi.org/10.70445/avjcs.2.3.2025.36-51Keywords:
Predictive analytics, cancer treatment, machine learning, artificial intelligence, detecting petroleum fraud, data protection.Abstract
Artificial intelligence (AI) is developing at a rapid pace, offering revolutionary possibilities in a number of fields, most notably cancer treatment and petroleum fraud detection. The dual uses of AI are examined in this study, which shows how advanced techniques like data mining, machine learning, and predictive analytics may boost operational effectiveness and better patient outcomes. Artificial intelligence (AI) technologies are used in the petroleum industry to detect fraudulent activity, streamline procedures, and uphold compliance, protecting operational dependability and financial integrity. AI also helps cancer medicine by accelerating medication discovery, improving diagnostic precision, and developing tailored treatment plans. The paper emphasizes the linkages between these domains and the opportunities for cooperation and knowledge sharing that might spur creativity. Additionally, the ethical implications of algorithmic bias, transparency, and data privacy are rigorously analyzed, highlighting the necessity of implementing AI responsibly. With expected trends including improved algorithms, increased connectivity to the Internet of Things (IoT), and an emphasis on explain ability, the future of AI in these fields is bright. To fully utilize AI, a call to action is made, asking interested parties to fund research and development, encourage interdisciplinary cooperation, and have ethical conversations. In the end, this paper makes the case that the dual use of AI not only demonstrates the adaptability of technology but also paves the way for a day when AI will significantly enhance operational integrity and health outcomes.
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