Alle Papers – KI in der Medizin

ChatGPT Performs on the Chinese National Medical Licensing Examination

Harnessing the Power of Large Language Models (LLMs) for Electronic Health Records (EHRs) Optimization

Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study

The Aspects of Running Artificial Intelligence in Emergency Care; a Scoping Review.

Exploratory study on the potential of ChatGPT as a rater of second language writing

The Wisdom of Crowds of Doctors

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Artificial intelligence and machine learning: present and future applications in health sciences

Comprehension of Informed Consent for Research: Issues and Directions for Future Study

A systematic review on natural language processing systems for eligibility prescreening in clinical research

Examining Real-World Medication Consultations and Drug-Herb Interactions: ChatGPT Performance Evaluation

Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database

Ethics of Big Data and artificial intelligence in medicine

Integrating artificial intelligence in healthcare: applications, challenges, and future directions

The Effect of Cognitive Function Health Care Using Artificial Intelligence Robots for Older Adults: Systematic Review and Meta-analysis

Selected Topics in Medical Artificial Intelligence

Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos

Applying the UTAUT2 framework to patients’ attitudes toward healthcare task shifting with artificial intelligence

Do journal authors plagiarize? Using plagiarism detection software to uncover matching text across disciplines

Artificial intelligence in intensive care medicine

Can ChatGPT Be Addictive? A Call to Examine the Shift from Support to Dependence in AI Conversational Large Language Models

Using AI and computer vision to analyze technical proficiency in robotic surgery

Artificial intelligence (AI) and interventional radiotherapy (brachytherapy): state of art and future perspectives

Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects

Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks