Alle Papers – KI in der Medizin

Ultrasound-based radiomics XGBoost model to assess the risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual application of SHAP

The Need for a Machine Learning Curriculum for Radiologists

University Students’ Attitudes toward Artificial Intelligence: An Exploratory Study of the Cognitive, Emotional, and Behavioural Dimensions of AI Attitudes

An Anatomy Massive Open Online Course as a Continuing Professional Development Tool for Healthcare Professionals

Explainer: Algorithmic Management in the Workplace

Evaluation of Large Language Model Performance and Reliability for Citations and References in Scholarly Writing: Cross-Disciplinary Study

From Human to Machine: Investigating the Effectiveness of the Conversational AI ChatGPT in Historical Thinking

The role of digital transformation in improving the efficacy of healthcare: A systematic review

Transforming Educational Assessment: Insights Into the Use of ChatGPT and Large Language Models in Grading

Moving towards vertically integrated artificial intelligence development

Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance

Designing a course for pre-service science teachers using ChatGPT: what ChatGPT brings to the table

Professional Certification Benchmark Dataset: The First 500 Jobs for Large Language Models

Human-centered explainability for life sciences, healthcare, and medical informatics

Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)

<p>Mapping Intellectual Structure and Research Performance for the Nanoparticles in Pancreatic Cancer Field</p>

Artificial intelligence in paediatric radiology: international survey of health care professionals’ opinions

From concept to practice: a scoping review of the application of AI to aphasia diagnosis and management

Navigating the Landscape of Personalized Medicine: The Relevance of ChatGPT, BingChat, and Bard AI in Nephrology Literature Searches

Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery

Addressing the use of generative AI in academic writing

AI, Health, and Health Care Today and Tomorrow

Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations

Improving ChatGPT Prompt for Code Generation

Licensing high-risk artificial intelligence: Toward ex ante justification for a disruptive technology