Artificial Intelligence (AI) in Healthcare

Artificial Intelligence (AI) in Healthcare refers to the use of advanced algorithms and computational techniques to analyze complex medical data, automate decision-making processes, and support clinical decision-making. By using AI, healthcare providers can improve the health of their patients, make care more efficient, and make more money.

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"The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review"

Researchers are G. Kostopoulou, E. Pistolla, S. Koulourakis, and S. Efstathiou. This systematic scoping review discusses the ethical issues surrounding the application of AI in healthcare. The researchers highlight the need for a comprehensive framework to guide the development and implementation of AI-based decision support in healthcare. They also emphasize the importance of addressing ethical issues such as biases, protection of patient privacy, and gaining the trust of patients and clinicians. The study concludes that more research is needed to ensure ethical design and deployment of AI in healthcare.

"Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X"

Researchers Petar Radanliev, David De Roure, Carsten Maple, and Uchenna Ani propose a methodology for integrating artificial intelligence in healthcare systems. They draw insights from the COVID-19 pandemic and emphasize the need for a combination of approaches to enhance healthcare processes. The researchers suggest the integration of wearables and biomedical devices with AI, while acknowledging the increased cyber-attack surface and escalating cyber-risk levels associated with digital transformation.

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