Alle Papers – KI in der Medizin

Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health

The political ideology of conversational AI: Converging evidence on ChatGPT’s pro-environmental, left-libertarian orientation

Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator

Is there an ethics of algorithms?

DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network

Data Analysis Strategies in Medical Imaging

Explainable AI under contract and tort law: legal incentives and technical challenges

Large language models in patient education: a scoping review of applications in medicine

Artificial intelligence (2nd ed.)

ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

Scientists are drowning in COVID-19 papers. Can new tools keep them afloat?

Health Care, Capabilities, and AI Assistive Technologies

An artificial intelligence life cycle: From conception to production

Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches

The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review

Potential and Pitfalls of ChatGPT and Natural-Language Artificial Intelligence Models for Diabetes Education

AI and the future of humanity: ChatGPT-4, philosophy and education – Critical responses

Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI

Participation in the global knowledge commons

Challenges for higher education in the era of widespread access to generative AI

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer