Alle Papers – KI in der Medizin

AI in health and medicine

Privacy-Preserving Deep Learning

The future of digital health with federated learning

Key challenges for delivering clinical impact with artificial intelligence

Artificial intelligence in medicine

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

The Nature of Expertise

A Survey on Evaluation of Large Language Models

The practical implementation of artificial intelligence technologies in medicine

European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

Can AI Help in Screening Viral and COVID-19 Pneumonia?

Artificial Intelligence: A Modern Approach

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

Artificial intelligence in cancer imaging: Clinical challenges and applications

Chatting and cheating: Ensuring academic integrity in the era of ChatGPT

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

ChatGPT: five priorities for research

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature

ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?

Resistance to Medical Artificial Intelligence

Sparks of Artificial General Intelligence: Early experiments with GPT-4