Cutting-Edge Applications of Artificial Intelligence in Healthcare, Petroleum Fraud Detection, and Innovative Strategies in Cancer Treatment
Keywords:
big data, ethical considerations, algorithmic bias, operational efficiency, personalized medicine, fraud detection, telemedicine, artificial intelligence, healthcare, petroleum industry, cancer diagnostics, and multidisciplinary cooperationDimension Badge Record
Abstract
Artificial intelligence (AI) integration in the petroleum and healthcare sectors is quickly changing operating procedures and improving results in both domains. This overview examines the various applications of AI, including fraud detection, tailored medicine, and cancer diagnosis. By evaluating enormous datasets from several sources, such as genetic and electronic health records, artificial intelligence (AI) tools in the healthcare industry greatly increase diagnostic accuracy, enable early diagnosis, and customize treatment plans. AI-supported telemedicine and remote monitoring improve patient access to care and streamline healthcare delivery. By forecasting equipment failures, detecting fraudulent activity, and improving drilling operations, artificial intelligence (AI) improves operational efficiency in the petroleum industry, lowering costs and increasing safety. Notwithstanding these developments, there are still several obstacles to the successful application of AI, including issues with data quality, algorithmic bias, regulatory compliance, and ethical considerations. Strong data management procedures, openness in AI decision-making, and interdisciplinary cooperation between technologists, medical practitioners, and industrial stakeholders are all necessary to meet these issues. With possible advancements in big data integration, AI-driven telemedicine, and predictive analytics, the future of AI in various fields is marked by ongoing innovation. The entire potential of AI technology will eventually be unlocked by adopting responsible AI practices and encouraging teamwork, which will result in better patient outcomes, more operational integrity, and sustainable growth in a landscape that is becoming more complicated by the day.
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References
N. Cunningham. The 10 worst energy-related disasters of modern times. https://oilprice.com/Energy/Coal/ Coal-The-Worlds-Deadliest-Source-Of-Energy.html, last accessed on 08/10/20
N. E. Institution. Chernobyl accident and its consequences. https://www.nei.org/resources/factsheets/chernobyl-accident-and-its-consequences, last accessed on 04/03/21
S. Institute. Confirmation of a coordinated attack on the Ukrainian power grid. https://www.sans.org/blog/ confirmation-of-a-coordinated-attack-on-the-ukrainian-power-grid/, last accessed on 01/01/21.
N. E. Services. Energy theft and fraud reduction. Https: //www.smart-energy.com/industry-sectors/energy-grid-management/ energy-theft-and-fraud-reduction/, last accessed on 02/11/21
Husnain, A., Alomari, G., & Saeed, A. AI-Driven Integrated Hardware and Software Solution for EEG-Based Detection of Depression and Anxiety.
M. V. Barros, R. Salvador, C. M. Piekarski, A. C. de Francisco, and F. M. C. S. Freire, “Life cycle assessment of electricity generation: a review of the characteristics of existing literature,” The International Journal of Life Cycle Assessment, vol. 25, no. 1, pp. 36–54, 2020.
B. L. Lee, C. Wilson, P. Simshauser, and E. Majiwa, “Deregulation, efficiency and policy determination: An analysis of australia’s electricity distribution sector,” Energy Economics, p. 105210, 2021.
Zeb, S., Nizamullah, F. N. U., Abbasi, N., & Fahad, M. (2024). AI in Healthcare: Revolutionizing Diagnosis and Therapy. International Journal of Multidisciplinary Sciences and Arts, 3(3).
J. D. Hunt, E. Byers, Y. Wada, S. Parkinson, D. E. Gernaat, S. Langan, D. P. van Vuuren, and K. Riahi, “Global resource potential of seasonal pumped hydropower storage for energy and water storage,” Nature communications, vol. 11, no. 1, pp. 1–8, 2020
Zeb, S., Nizamullah, F. N. U., Abbasi, N., & Qayyum, M. U. (2024). Transforming Healthcare: Artificial Intelligence's Place in Contemporary Medicine. BULLET: Jurnal Multidisiplin Ilmu, 3(4).
T. Azar, A. Khamis, N. A. Kamal, and B. Galli, “Short term electricity load forecasting through machine learning,” in Joint European-US Workshop on Applications of Invariance in Computer Vision. Springer, 2020, pp. 427–437.
Lodhi, S. K., Hussain, I., & Gill, A. Y. (2024). Artificial Intelligence: Pioneering the Future of Sustainable Cutting Tools in Smart Manufacturing. BIN: Bulletin of Informatics, 2(1), 147-162.
Abbasi, N., Nizamullah, F. N. U., & Zeb, S. (2023). AI in Healthcare: Integrating Advanced Technologies with Traditional Practices for Enhanced Patient Care. BULLET: Jurnal Multidisiplin Ilmu, 2(3), 546-556.
F. Leach, G. Kalghatgi, R. Stone, and P. Miles, “The scope for improving the efficiency and environmental impact of internal combustion engines,” Transportation engineering, p. 100005, 2020.
Abbasi, N., Nizamullah, F. N. U., & Zeb, S. (2023). AI IN HEALTHCARE: USING CUTTING-EDGE TECHNOLOGIES TO REVOLUTIONIZE VACCINE DEVELOPMENT AND DISTRIBUTION. JURIHUM: Jurnal Inovasi dan Humaniora, 1(1), 17-29.
Valli, L. N. (2024). A succinct synopsis of predictive analytics for fraud detection and credit scoring in BFSI. JURIHUM: Jurnal Inovasi dan Humaniora, 2(2), 200-213.
S. Wang, D. Wang, Z. Yu, X. Dong, S. Liu, H. Cui, and B. Sun, “Advances in research on petroleum biodegradability in soil,” Environmental Science: Processes & Impacts, vol. 23, no. 1, pp. 9–27, 2021
Lashari, Z. A., Lalji, S. M., Ali, S. I., Kumar, D., Khan, B., & Tunio, U. (2024). Physiochemical analysis of titanium dioxide and polyacrylamide nanofluid for enhanced oil recovery at low salinity. Chemical Papers, 78(6), 3629-3637.
Z. U. ZANGO, “Review of petroleum sludge thermal treatment and utilization of ash as a construction material, a way to environmental sustainability,” International Journal of Advanced and Applied Sciences, vol. 7, no. 12, 2020.
World energy outlook 2017. https://www.iea.org/reports/ world-energy-outlook-2017, last accessed on 12/12/20.
Hussain, S. M. Arif, and M. Aslam, “Emerging renewable and sustainable energy technologies: State of the art,” Renewable and Sustainable Energy Reviews, vol. 71, pp. 12–28, 2017
Mehta, A., Niaz, M., Uzowuru, I. M., & Nwagwu, U. Implementation of the Latest Artificial Intelligence Technology Chatbot on Sustainable Supply Chain Performance on Project-Based Manufacturing Organization: A Parallel Mediation Model in the American Context.
S. Cao, Y. Chen, G. Cheng, F. Du, W. GAO, Z. He, S. Li, S. Lun, H. Ma, Q. Su et al., “Preliminary study on evaluation of smart-cities technologies and proposed uv lifestyles,” in 2018 4th International Conference on Universal Village (UV). IEEE, 2018, pp. 1–49
Jamal, A. (2023). Novel Approaches in the Field of Cancer Medicine. Biological times, 2(12), 52-53.
Valli, L. N. (2024). Predictive Analytics Applications for Risk Mitigation across Industries; A review. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 542-553.
Lodhi, S. K., Hussain, H. K., & Gill, A. Y. (2024). Renewable Energy Technologies: Present Patterns and Upcoming Paths in Ecological Power Production. Global Journal of Universal Studies, 1(1), 108-131.
Choudhary, V., Mehta, A., Patel, K., Niaz, M., Panwala, M., & Nwagwu, U. (2024). Integrating Data Analytics and Decision Support Systems in Public Health Management. South Eastern European Journal of Public Health, 158-172.
Lodhi, S. K., Gill, A. Y., & Hussain, I. (2024). 3D Printing Techniques: Transforming Manufacturing with Precision and Sustainability. International Journal of Multidisciplinary Sciences and Arts, 3(3), 129-138.
U. of Haifa. Exposure to ’white’ light leds appears to suppress body’s production of melatonin more than certain other lights, research suggests. https://www.sciencedaily.com/releases/2011/ 09/110912092554.htm, last accessed on 04/04/21.
Lodhi, S. K., Gill, A. Y., & Hussain, H. K. (2024). Green Innovations: Artificial Intelligence and Sustainable Materials in Production. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 492-507.
Lashari, Z. A., Lalji, S. M., Ali, S. I., Kumar, D., Khan, B., & Tunio, U. (2024). Physiochemical analysis of titanium dioxide and polyacrylamide nanofluid for enhanced oil recovery at low salinity. Chemical Papers, 78(6), 3629-3637.
Mining and quarrying. https://www.ilo.org/ipec/areas/ Miningandquarrying/lang--en/index.htm, last accessed on 12/12/20.
Lodhi, S. K., Hussain, H. K., & Hussain, I. (2024). Using AI to Increase Heat Exchanger Efficiency: An Extensive Analysis of Innovations and Uses. International Journal of Multidisciplinary Sciences and Arts, 3(4), 1-14.
R. Jurowetzki, “Unpacking big systems–natural language processing meets network analysis. A study of smart grid development in denmark.” A Study of Smart Grid Development in Denmark. (May 21, 2015). SWPS, vol. 15, 2015.
Lodhi, S. K., Gill, A. Y., & Hussain, I. (2024). AI-Powered Innovations in Contemporary Manufacturing Procedures: An Extensive Analysis. International Journal of Multidisciplinary Sciences and Arts, 3(4), 15-25.
L. Cheng and T. Yu, “A new generation of ai: A review and perspective on machine learning technologies applied to smart energy and electric power systems,” International Journal of Energy Research, vol. 43, no. 6, pp. 1928–1973, 2019.
M. Akhloufi and N. Benmesbah, “Outdoor ice accretion estimation of wind turbine blades using computer vision,” in 2014 Canadian Conference on Computer and Robot Vision. IEEE, 2014, pp. 246–253
Vinhas, R.; Mendes, R.; Fernandes, A. R.; Baptista, P. V. Nanoparticles Emerging Potential for Managing Leukemia and Lymphoma. Front Bioeng Biotechnol 2017, 5, 79.
Mekseriwattana, W.; Thiangtrongjit, T.; Reamtong, O.; Wongtrakoongate, P.; Katewongsa, K. P. Proteomic Analysis Reveals Distinct Protein Corona Compositions of Citrate-and RiboflavinCoated SPIONs. ACS Omega 2022, 7 (42), 37589?37599.
Fu, Z.; Xiang, J. Aptamer-Functionalized Nanoparticles in Targeted Delivery and Cancer Therapy. Int. J. Mol. Sci. 2020, 21 (23), 9123.
Wu, X.; Chen, J.; Wu, M.; Zhao, J. X. Aptamers: Active Targeting Ligands for Cancer Diagnosis and Therapy. Theranostics 2015, 5 (4), 322.
Zhang, L.; Radovic-Moreno, A. F.; Alexis, F.; Gu, F. X.; Basto, P. A.; Bagalkot, V.; Jon, S.; Langer, R. S.; Farokhzad, O. C. Codelivery of Hydrophobic and Hydrophilic Drugs from NanoparticleAptamer Bioconjugates. ChemMedChem: Chemistry Enabling Drug Discovery 2007, 2 (9), 1268?1271. (161) Aravind, A.; Varghese, S. H.; Veeranarayanan, S.; Mathew, A.; Nagaoka, Y.; Iwai, S.; Fukuda, T.; Hasumura, T.; Yoshida, Y.; Maekawa, T.; Kumar, D. S. Aptamer-Labeled PLGA Nanoparticles for Targeting Cancer Cells. Cancer Nanotechnol 2012, 3 (1), 1?12.
Liu, J.; Wei, T.; Zhao, J.; Huang, Y.; Deng, H.; Kumar, A.; Wang, C.; Liang, Z.; Ma, X.; Liang, X.-J. Multifunctional AptamerBased Nanoparticles for Targeted Drug Delivery to Circumvent Cancer Resistance. Biomaterials 2016, 91, 44?56.
Yergeri, M.; Kapse-Mistry, S.; Srivastava, R.; Govender, T. Nanodrug Delivery in Reversing Multidrug Resistance in Cancer Cells. Front Pharmacol 2014, 5, 159. (164) Dong, X.; Mumper, R. J. Nanomedicinal Strategies to Treat Multidrug-Resistant Tumors: Current Progress. Nanomedicine 2010, 5 (4), 597?615.
Ding, X.; Qin, Y.; Bathini, T.; Hu, S.; Li, X.; Chen, X.; Xing, S.; Tang, L.; Xie, Y.; Mou, S.; Tan, W.; Wang, R. Unlocking the Potential of Pterostilbene: A Pharmaceutical Element for AptamerBased Nanomedicine. ACS Appl. Mater. Interfaces 2024, 16, 14434.
Zhou, H.; Li, Y.; Wu, W. Aptamers: Promising Reagents in Biomedicine Application. Adv. Biol. 2024, 2300584
Park, Y.; Hong, M.-S.; Lee, W.-H.; Kim, J.-G.; Kim, K. Highly Sensitive Electrochemical Aptasensor for Detecting the VEGF165 Tumor Marker with PANI/CNT Nanocomposites. Biosensors (Basel) 2021, 11 (4), 114.
Vacek, J.; Zatloukalová, M.; Dorcák, ? V.; Cifra, M.; Futera, Z.; Ostatná, V. Electrochemistry in Sensing of Molecular Interactions of Proteins and Their Behavior in an Electric Field. Microchimica Acta 2023, 190 (11), 442.
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Accepted Date: 2024-10-31
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