Alle Papers – KI in der Medizin
151.607 Papers insgesamt · Seite 46 von 400
What do medical students actually need to know about artificial intelligence?
Will ChatGPT transform healthcare?
Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158
Continuous Learning AI in Radiology: Implementation Principles and Early Applications
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources
Managing extreme AI risks amid rapid progress
AI literacy and its implications for prompt engineering strategies
Metrics for Explainable AI: Challenges and Prospects
Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis
Using machine learning for healthcare challenges and opportunities
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data
Artificial intelligence and effective governance: A review, critique and research agenda
Technology approaches to digital health literacy
Primer on an ethics of AI-based decision support systems in the clinic
ChatGPT: these are not hallucinations – they’re fabrications and falsifications
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Conservative management or closed nailing for tibial shaft fractures. A randomised prospective trial
2015 Computing in Cardiology Conference (CinC)
International Joint Conference on Artificial Intelligence (IJCAI 2017)
How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
Federated learning improves site performance in multicenter deep learning without data sharing
A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study
Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers
Artificial Intelligence in Pharmaceutical and Healthcare Research