Alle Papers – KI in der Medizin
151.607 Papers insgesamt · Seite 43 von 400
Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review
A critic evaluation of methods for COVID-19 automatic detection from X-ray images
The importance of being external. methodological insights for the external validation of machine learning models in medicine
Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review
Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review
Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction
A literature survey of the robotic technologies during the COVID-19 pandemic
Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient
Time to reality check the promises of machine learning-powered precision medicine
Impact of ChatGPT on ESL students’ academic writing skills: a mixed methods intervention study
ChatGPT and other artificial intelligence applications speed up scientific writing
Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review
Innovation and Entrepreneurship
Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery
ChatGPT improves creative problem-solving performance in university students: An experimental study
Digital twin for healthcare systems
Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence
Exploring students’ perspectives on Generative AI-assisted academic writing
Holy or Unholy? Interview with Open AI’s ChatGPT
ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design
Measuring plagiarism: researching what students do, not what they say they do
In principle obstacles for empathic AI: why we can’t replace human empathy in healthcare
Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms
Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future
Structured Reporting in Radiology