Alle Papers – KI in der Medizin

ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs)

Exploring Applications of ChatGPT to English Language Teaching: Opportunities, Challenges, and Recommendations

Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education

ChatGPT and antimicrobial advice: the end of the consulting infection doctor?

Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review

Frequency of data extraction errors and methods to increase data extraction quality: a methodological review

Using artificial intelligence to improve public health: a narrative review

The rise of artificial intelligence and the uncertain future for physicians

In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions

Health Care Robotics: Qualitative Exploration of Key Challenges and Future Directions

Limits of trust in medical AI

Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine

Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma

Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician

A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT

Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT

The impact of machine learning on patient care: A systematic review

A critical assessment of using ChatGPT for extracting structured data from clinical notes

Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format

ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine

Brief History of Artificial Intelligence

Artificial Intelligence in the Intensive Care Unit

Discrepancies in autologous bone marrow stem cell trials and enhancement of ejection fraction (DAMASCENE): weighted regression and meta-analysis

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making