Alle Papers – KI in der Medizin

Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis

The privacy paradox and its implications for learning analytics

Grounded in reality: artificial intelligence in medical education

ChatGPT: The brightest student in the class

Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19

AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat

Methods to assess research misconduct in health-related research: A scoping review

Artificial intelligence, drug repurposing and peer review

Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction

Artificial Intelligence and Robots in Libraries: Opportunities in LIS Curriculum for Preparing the Librarians of Tomorrow

Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study

ChatGPT in academic writing: Maximizing its benefits and minimizing the risks

Disentangle domain features for cross-modality cardiac image segmentation

Assessment of Length and Readability of Informed Consent Documents for COVID-19 Vaccine Trials

Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis

Evaluating the use of large language models to provide clinical recommendations in the Emergency Department

Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies

A matter of trust: Higher education institutions as information fiduciaries in an age of educational data mining and learning analytics

Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients

Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data

A visual analytic study of retracted articles in scientific literature

Educating PhD Students in Research Integrity in Europe

Exploring and Promoting Diagnostic Transparency and Explainability in Online Symptom Checkers

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

<p>Attitudes Of Chinese Cancer Patients Toward The Clinical Use Of Artificial Intelligence</p>