Alle Papers – KI in der Medizin

A smarter perspective: Learning with and from AI-cases

Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment

Unpacking the Expressed Consequences of AI Research in Broader Impact Statements

Large language models could change the future of behavioral healthcare: A proposal for responsible development and evaluation

A scoping review of ethics considerations in clinical natural language processing

Towards Trustworthiness of Electronic Health Record system using Blockchain

Artificial intelligence platform for oncology could assist in treatment decisions

Evaluation of Knowledge, Attitude, and Practice (KAP) of Artificial Intelligence Among Dentists and Dental Students: A Cross-Sectional Online Survey

Egocentric recognition of handled objects: Benchmark and analysis

Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management

Balancing AI and authenticity: EFL students’ experiences with ChatGPT in academic writing

Radiologists’ perceptions on AI integration: An in-depth survey study

How common is cheating in online exams and did it increase during the COVID-19 pandemic? A Systematic Review

Why Articles in Arts and Humanities Are Being Retracted?

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems

Don’t pause giant AI for the wrong reasons

ChatGPT-3.5 and Bing Chat in ophthalmology: an updated evaluation of performance, readability, and informative sources

The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative review

Transparency in research: An analysis of ChatGPT usage acknowledgment by authors across disciplines and geographies

BBMRI-ERIC’s contributions to research and knowledge exchange on COVID-19

<p>Simulation-based education workshop: perceptions of participants</p>

Generative AI could revolutionize health care — but not if control is ceded to big tech

Development of AI-generated medical responses using the ChatGPT for cancer patients

Privacy‐preserving federated data access and federated learning: Improved data sharing and <scp>AI</scp> model development in transfusion medicine

Clinicians risk becoming “liability sinks” for artificial intelligence