Results 111 to 120 of about 1,351,787 (292)
AI in Medicine versus AI in Prehospital
Medicine Science | International Medical Journal, 2020 This study was made to compare the information about the studies on Artificial intelligence in medicine and Artificial intelligence in Pre-hospital on the Scopus database, and to investigate research on artificial intelligence in health and pre-hospital field.
Ahu Pakdemirli, Asım Leblebici
openaire +3 more sources
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges [PDF]
arXiv, 2023 Ethics in AI has become a debated topic of public and expert discourse in recent years. But what do people who build AI - AI practitioners - have to say about their understanding of AI ethics and the challenges associated with incorporating it in the AI-based systems they develop?
arxiv
Application of Proteomics in Maternal and Neonatal Health: Advancements and Future Directions
PROTEOMICS – Clinical Applications, EarlyView.ABSTRACT Maternal and neonatal health (women during pregnancy, childbirth, and the postnatal period) presents a spectrum of healthcare challenges, including preterm birth, preeclampsia, intrauterine growth restriction, polycystic ovarian syndrome, and gestational diabetes mellitus.
Razan Elkahlout +6 more
wiley +1 more source
HiPEAC Vision 2023, 2023 Artificial intelligence is improving every day, but at the cost of more and more computing power. Europe needs be in the race and focus on applications which deliver real social and economic value in Europe, especially in embedded AI.
openaire +1 more source
Explainable AI: A Review of Machine Learning Interpretability Methods
Entropy, 2020 Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks.
Pantelis Linardatos +2 more
semanticscholar +1 more source
Acta Ophthalmologica, EarlyView.Abstract Purpose To use artificial intelligence (AI) for quantifying schisis volume (ASV) in X‐linked retinoschisis (XLRS) for use as a structural endpoint in gene therapy clinical trials. Methods We used data from Singapore, the United Kingdom, the Netherlands, and the United States. The AI model was developed on 250 optical coherence tomography (OCT)
Tien‐En Tan +10 more
wiley +1 more source
Enabling human-centered AI: A new junction and shared journey between AI and HCI communities [PDF]
arXiv, 2021 Artificial intelligence (AI) has brought benefits, but it may also cause harm if it is not appropriately developed. Current development is mainly driven by a "technology-centered" approach, causing many failures. For example, the AI Incident Database has documented over a thousand AI-related accidents.
arxiv
Computers and chess masters: The role of AI in transforming elite human performance
British Journal of Psychology, EarlyView.Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley +1 more source
Challenges for implementing generative artificial intelligence (GenAI) into clinical healthcare
Internal Medicine Journal, EarlyView.Abstract Generative artificial intelligence (GenAI) is a form of deep learning AI based on inference that offers significant potential in healthcare. It has versatile capabilities: GenAI excels in complex human language communication, synthesising information from large and diverse datasets and performing broad, complex tasks reliably.
Lynden J. Roberts +5 more
wiley +1 more source
From text to tissue: Artificial Intelligence‐generation of biological images
Journal of Dental Education, EarlyView.
Nazlee Sharmin, Ava K. Chow
wiley +1 more source