Alle Papers – KI in der Medizin
151.607 Papers insgesamt · Seite 95 von 400
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
A Systematic Review of Generative AI for Teaching and Learning Practice
Machine Learning and Artificial Intelligence in Disease Prediction
ChatGPT: The cognitive effects on learning and memory
Challenges and Opportunities of AI-Assisted Learning: A Systematic Literature Review on the Impact of ChatGPT Usage in Higher Education
Digital technologies, healthcare and Covid-19: insights from developing and emerging nations
Semi-automated detection of anterior cruciate ligament injury from MRI
Artificial intelligence in emergency medicine: A scoping review
Preferring the devil you know: Potential applicant reactions to artificial intelligence evaluation of interviews
Would ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study
How to use generative AI as a human resource management assistant
Integrating artificial intelligence into health care through data access: can the GDPR act as a beacon for policymakers?
Security Implications of AI Chatbots in Health Care
Big data analytics in medical engineering and healthcare: methods, advances and challenges
Deep Learning and Medical Image Analysis for COVID-19 Diagnosis and Prediction
Cyber Resilience in Healthcare Digital Twin on Lung Cancer
Health Equity and Ethical Considerations in Using Artificial Intelligence in Public Health and Medicine
Comparison of GPT-3.5, GPT-4, and human user performance on a practice ophthalmology written examination
Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making
An evaluation framework for clinical use of large language models in patient interaction tasks
Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
Trustworthy AI and robotics: Implications for the AEC industry
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions
Machine Learning in Fetal Cardiology: What to Expect
Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning