Alle Papers – KI in der Medizin

The Impact of AI Chatbot-Based Learning on Students’ Motivation in English Writing Classroom

Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?

Ethics and subsequent use of electronic health record data

Evaluating the Accuracy of ChatGPT and Google BARD in Fielding Oculoplastic Patient Queries: A Comparative Study on Artificial versus Human Intelligence

Artificial Intelligence Applications and Innovations

ChatGPT-4 Performance on USMLE Step 1 Style Questions and Its Implications for Medical Education: A Comparative Study Across Systems and Disciplines

Applications of natural language processing in radiology: A systematic review

Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review

The patient experience of high technology medical imaging: a systematic review of the qualitative evidence

Lower Leg Bone Fracture Detection and Classification Using Faster RCNN for X-Rays Images

Computational challenges and human factors influencing the design and use of clinical research participant eligibility pre-screening tools

Evaluating the Impact of Artificial Intelligence (AI) on Clinical Documentation Efficiency and Accuracy Across Clinical Settings: A Scoping Review

The Artificial Intelligence application in Aesthetic Medicine: How ChatGPT can Revolutionize the Aesthetic World

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Explainable AI-Based Humerus Fracture Detection and Classification from X-Ray Images

Plagiarism Phenomenon in European Countries: Results from GENIUS Project

Artificial Intelligence (AI)-aided Disease Prediction

Methods for using Bing's AI‐powered search engine for data extraction for a systematic review

The New Role of the Dental Assistant and Nurse in the Age of Advanced Artificial Intelligence in Telehealth Orthodontic Care with Dental Monitoring: Preliminary Report

Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare

Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future

Medical Applications of Artificial Intelligence

Exploring the impact of artificial intelligence application in personalized learning environments: thematic analysis of undergraduates’ perceptions in China

Modeling and Guiding the Creation of Ethical Human-AI Teams

Precision Medicine 2.0: How Digital Health and AI Are Changing the Game