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Artificial Intelligence - Wiley Online Library

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Last Updated: 10 September 2022

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Artificial‐intelligence‐driven consensus gene signatures for improving bladder cancer clinical outcomes identified by multi‐center integration analysis

We used large-u2010scale data to create and analyze a robust signature composed of small gene sets in order to accurately forecast the prognosis and further improve the clinical effects of bladder cancer. We finally established a common artificial intelligenceu201derived gene signature with the highest success among 76 model types. Patients with elevated AIGS had a greater risk of mortality, recurrence, and disease progression in this model. Patients with low AIGS scores were susceptible to immunotherapy, according to RITA, MRS. U20100126, MRS. U20051220, and LY2784544, a patient with high AIGS scores. URG2010 has 78681478, 1S,3Ru2010RSL U201030368, 4774844, and LY2784544.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/1878-0261.13313


Ethical implications of text generation in the age of artificial intelligence

We are at a turning point in the AI text debate, since we are seeing the rise of general-u2010purpose AI text agents such as GPT-u20103 that can produce large amounts of highly refined text that appears to have been written by a human.

Source link: https://onlinelibrary.wiley.com/doi/10.1111/beer.12479


How will artificial intelligence and industry 4.0 emerging technologies transform operations management?

We respond to your query by giving a brief summary of how technology and operations management have changed over time. Since terms such as u201cIndustry 4. 0;u201d do not have a specific meaning, we should concentrate on more general topics raised by Industry 4. 0 emerging technologies for research in operations management. We review the nascent but quickly expanding literature on the interface between digital technology and operations management, which follows subpoena. According to our report, one way to determine the value of Industry 4. 0 technologies is to assess their impact on adding sales, differentiating, lowering costs, minimizing risks, innovating, and changing business models and processes.

Source link: https://onlinelibrary.wiley.com/doi/10.1111/poms.13864


Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform

Artificial intelligence and distributed hyper ledger technologies are both at the height of their hype cycles, which means they could be disruptive. In the same way, FinTech solutions' internet of things support for FinTech solutions has also increased its importance in the emerging transaction world. This report recommends a distributed hyper ledger technology and AI for IoT's $100-based FinTech platform, which shares the benefits of each technology for secure and cost-effective financial transactions and communication, as well as social and energy-efficient financial transaction and communication. The security portion of the IoT implementation is handled by AI technology and distributed hyper ledger technologies, while the communication component is the most effective. For real-time business scenarios, the simulation study confirms that FinTech management and processing will ensure increased safety and efficiency. The experimental findings reveal the consistent results of the new DHLT-u2010FAFP with a higher adaptability ratio of 98. 5 percent compared to other traditional approaches.

Source link: https://onlinelibrary.wiley.com/doi/10.1111/exsy.13001


Artificial intelligence and auditing in small‐ and medium‐sized firms: Expectations and applications

While AI techniques for big data are continually improving, techniques for small data are difficult. In our report, auditors, who mainly audit SMEs, asked auditors about their expectations regarding AI's impact on the auditing industry and where they believe it will add the most value when it comes to auditing SMEs. These auditors recommend significant changes in their own effectiveness on the job, that using AI tools will not be a problem for them, and that the usage of AI in auditing firms will become widespread. Given these findings, we explore the potential benefits of these changes, including how AI could make the auditing process more accurate and efficient, as well as how AI could increase the number of audit firms in a much larger region.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/aaai.12066


Predictive Models of the Steel Beam Capacity Using Artificial Intelligence – Preliminary Studies

When using the results obtained using the finite element method as the baseline, different models were designed and tested using machine learning algorithms, and it has been shown that the capacity predicted by these models matches the accuracy provided by existing analytical models.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/cepa.1692


Enabling image optimisation and artificial intelligence technologies for better Internet of Things framework to predict COVID

Sensor technology advancements have produced a cost-effective way to combat COVD and the creation of healthcare applications based on Internet of Things sensors. Using the Whale Optimisation Algorithm, the optimal gamma correction value was optimized in COVID CT images. Many experiments have been conducted to test the optimization, including SVM and DL with WOA and without WOA are compared with confusion matrix parameters. From the results, we find that the DL model outperforms the SVM with WOA and without WOA.

Source link: https://onlinelibrary.wiley.com/doi/10.1049/ntw2.12052


Artificial Intelligence and Clinical Anatomical Education: Promises and Perils

Although AI provides potentially new opportunities for anatomical education, hard lessons learned from the introduction of AI devices in other fields show that these opportunities are unlikely to be limited by disadvantages for at least some students and within particular educational contexts. This article examines five main differences between the promises and risks of including AI in anatomy education from the perspectives of an anatomy educator, public health scientist, medical ethicist, and an educational technology specialist. These recommendations serve as a guiding framework for how the clinical anatomy discipline, and anatomy researchers, can work with AI, and anatomy educators, can work with AI and design a more nuanced and considered approach to the role of AI in healthcare education.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/ase.2221

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions