However, AI technology also presents potential issues and raises concern: Potential to present false information: AI has generated errors and nonsensical information (referred to as AI hallucination), which can
AI technology facilitates the development of precision medicine by providing efficient algorithms.However, some ethical considerations and legal issues exist. Even though AI technology could automate precision medicine, it is not a substitute for doctors and physicians. Some open research questions should ...
Artificial Intelligence (AI) integration into the Network of Extended Reality-Enabled Laboratories (EXTENDABLE) is a game changer in the field of STEM (Science, Technology, Engineering, and Mathematics) education. This novel and innovative framework utilizes Virtual Reality (VR), Augmented Reality (AR...
Through a systematic review-based approach, we aim to clarify which are the current applications of AI in oncology-related fields, with a specific focus on already-approved devices. This approach will allow to better understand roles and potentialities of AI in the management of cancer patients, ...
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4.6. Current technology limitations Although demonstrated at powerplant scale, the PRO and RED technologies remain too expensive for wide-spread adoption. The anticipated cost of a PRO plant is USD 65–125/MWh [144], while the RED system is estimated to cost USD 90–120/MWh [144,145]. The...
In recent years, agriculture has become a major field of application and transfer for AI. The paper gives an overview of the topic, focusing agricultural p
The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine is rapidly expan
Furthermore, it highlights the workflow of AI-based radiomics, challenges, and limitations impeding the adoption of AI-based radiomics in clinical practice. Finally, it suggests possible solutions and areas of future research to ensure that the potential of AI-based radiomic model as an auxiliary ...
and prediction of prognosis in dementia are unique examples of experimental utilizations of AI in the field of neurology. Though there are obvious limitations of AI, the general consensus among several nationwide studies is that this new technology has the ability to improve the prognosis of neurolo...