Alle Papers – KI in der Medizin

Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

Artificial Intelligence in Medicine: Today and Tomorrow

Proceedings of the 24th International Conference on Artificial Intelligence

Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

Deep learning based tissue analysis predicts outcome in colorectal cancer

AI in Medical Imaging Informatics: Current Challenges and Future Directions

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

What do we need to build explainable AI systems for the medical domain?

ChatGPT - Reshaping medical education and clinical management

Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

Artificial Intelligence in Health Care

Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies

Research Priorities for Robust and Beneficial Artificial Intelligence

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers

ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health

The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney

Artificial intelligence, machine learning and health systems

The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions

Artificial intelligence for multimodal data integration in oncology

Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond

Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models

Bridging the Gap Between Ethics and Practice

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

Proceedings of the National Conference on Artificial Intelligence