Alle Papers – KI in der Medizin

Exploring the role of professional identity in the implementation of clinical decision support systems—a narrative review

A bibliometric analysis of generative AI in education: current status and development

Response Quality in Human-Chatbot Collaborative Systems

RETRACTED ARTICLE: Explainable context-aware IoT framework using human digital twin for healthcare

A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports

<b>Radiology in 2018:</b> Are You Working with AI or Being Replaced by AI?

Arabic ChatGPT Tweets Classification Using RoBERTa and BERT Ensemble Model

PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage

Clinical management of sepsis can be improved by artificial intelligence: yes

Biomedical Nanotechnology Related Grand Challenges and Perspectives

Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making

Patients’ Perspectives on Artificial Intelligence in Dentistry: A Controlled Study

ChatGPT-4 generates orthopedic discharge documents faster than humans maintaining comparable quality: a pilot study of 6 cases

Implications of Large Language Models for Quality and Efficiency of Neurologic Care

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR &amp; RSNA

Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review

A radiomics‐boosted deep‐learning model for COVID‐19 and non‐COVID‐19 pneumonia classification using chest x‐ray images

Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening

Making machine learning trustworthy

Misplaced Trust and Distrust: How Not to Engage with Medical Artificial Intelligence

Use of an Artificial Intelligence Conversational Agent (Chatbot) for Hip Arthroscopy Patients Following Surgery

Development and validation of prediction models for papillary thyroid cancer structural recurrence using machine learning approaches

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22

Bridging healthcare gaps: a scoping review on the role of artificial intelligence, deep learning, and large language models in alleviating problems in medical deserts