Alle Papers – KI in der Medizin

Senile cerebral disease: a critical survey of traditional concepts based upon observations with newer technics.

Using Criminalization and Due Process to Reduce Scientific Misconduct

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification

An Artificial Intelligence Tool for Image Simulation in Rhinoplasty

Finding the Place of ChatGPT in Medical Education

Impossible Explanations?

Leveraging Large Language Models (LLM) for the Plastic Surgery Resident Training: Do They Have a Role?

Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomography

Redesigning Assessments for AI-Enhanced Learning: A Framework for Educators in the Generative AI Era

Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI

Artificial intelligence: a challenge for third millennium radiologist

The Role of XAI in Advice-Taking from a Clinical Decision Support System: A Comparative User Study of Feature Contribution-Based and Example-Based Explanations

DevGPT: Studying Developer-ChatGPT Conversations

Optimizing Clinical Research Participant Selection with Informatics

Academic and research misconduct in the PhD: Issues for students and supervisors

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration

Pragmatic considerations for fostering reproducible research in artificial intelligence

The Use of an Artificial Intelligence Platform OpenEvidence to Augment Clinical Decision-Making for Primary Care Physicians

Generative AI Solutions for Faculty and Students: A Review of Literature and Roadmap for Future Research

Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications

Deceptive AI Ecosystems: The Case of ChatGPT

Artificial Intelligence and Family Medicine: Better Together

Some ethical and legal consequences of the application of artificial intelligence in the field of medicine

Machine Learning and Artificial Intelligence in Surgical Fields

Radiographer commenting of trauma radiographs: A survey of the benefits, barriers and enablers to participation in an <scp>A</scp>ustralian healthcare setting