Alle Papers – KI in der Medizin

The Applications of Blockchain in Artificial Intelligence

Research Integrity, Academic Promotion, and Attribution of Authorship and Nonauthor Contributions

Explainability pitfalls: Beyond dark patterns in explainable AI

China conducts first nationwide review of retractions and research misconduct

The impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical education

Machine learning outperforms clinical experts in classification of hip fractures

Academic Surgery in the Era of Large Language Models

The California Telepathology Service: UCLA's Experience in Deploying a Regional Digital Pathology Subspecialty Consultation Network

Data-Intensive Science and Research Integrity

Collaboration Versus Cheating

Assessing the role of GPT-4 in thyroid ultrasound diagnosis and treatment recommendations: enhancing interpretability with a chain of thought approach

Challenges and opportunities for artificial intelligence in oncological imaging

Large language models and generative AI in telehealth: a responsible use lens

Redefining Data Transparency: A Multidimensional Approach

Using technologies to prevent cheating in remote assessments during the COVID‐19 pandemic

The impact of generative <scp>AI</scp> on academic integrity of authentic assessments within a higher education context

Is ChatGPT a trusted source of information for total hip and knee arthroplasty patients?

Testing Creativity of ChatGPT in Psychology: Interview with ChatGPT

Putting ChatGPT’s Medical Advice to the (Turing) Test

Generative AI without guardrails can harm learning: Evidence from high school mathematics

Team size and retracted citations reveal the patterns of retractions from 1981 to 2020

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review

A survey on vulnerability of federated learning: A learning algorithm perspective

Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement

Assessment and learning outcomes for generative AI in higher education: A scoping review on current research status and trends