Alle Papers – KI in der Medizin

ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

Scalable and accurate deep learning with electronic health records

Key challenges for delivering clinical impact with artificial intelligence

A Survey on Evaluation of Large Language Models

Privacy-Preserving Deep Learning

Artificial intelligence in medicine

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

The Nature of Expertise

The practical implementation of artificial intelligence technologies in medicine

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

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

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?

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

Artificial Intelligence: A Modern Approach

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

Artificial intelligence in cancer imaging: Clinical challenges and applications

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

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

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

Resistance to Medical Artificial Intelligence