Alle Papers – KI in der Medizin

Appropriateness and Readability of ChatGPT-4-Generated Responses for Surgical Treatment of Retinal Diseases

ChatGPT awareness, acceptance, and adoption in higher education: the role of trust as a cornerstone

Application of artificial intelligence in surgery

Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare

Unpatients—why patients should own their medical data

False individual patient data and zombie randomised controlled trials submitted to <i>Anaesthesia</i>

Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis

Artificial Intelligence and Robotics in Nursing: Ethics of Caring as a Guide to Dividing Tasks Between AI and Humans

Artificial Intelligence: Threat or Boon to Radiologists?

Erythropoietin to minimize perioperative blood transfusion: a systematic review of randomized trials

Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey

Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

How is ChatGPT's behavior changing over time?

Code-free deep learning for multi-modality medical image classification

Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

Exploring the dimensions of ChatGPT in English language learning: a global perspective

Implementing Artificial Intelligence in Higher Education: Pros and Cons from the Perspectives of Academics

Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules

Advances in Computational Intelligence

Exploring the use of large language models (LLMs) in chemical engineering education: Building core course problem models with Chat-GPT

ChatGPT versus human in generating medical graduate exam multiple choice questions—A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom)

An Efficient CNN Model for COVID‐19 Disease Detection Based on X‐Ray Image Classification

Age-related differences in absolute but not relative metamemory accuracy.

Artificial intelligence and machine learning in emergency medicine

Development of the Anatomical Quality Assurance (AQUA) Checklist: Guidelines for reporting original anatomical studies