Alle Papers – KI in der Medizin
166.704 Papers insgesamt · Seite 63 von 400
A tale of two citations
Artificial intelligence (3rd ed.)
Machine Learning in Healthcare Communication
Marketing with ChatGPT: Navigating the Ethical Terrain of GPT-Based Chatbot Technology
A systematic review and economic evaluation of epoetin alfa, epoetin beta and darbepoetin alfa in anaemia associated with cancer, especially that attributable to cancer treatment
Can ChatGPT be used in oral and maxillofacial surgery?
Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases
Artificial Intelligence & Human Rights: Opportunities & Risks
Efficient Neural Network Robustness Certification with General Activation Functions
Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions
Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation
Machine learning and artificial intelligence in research and healthcare
The Potential and Concerns of Using AI in Scientific Research: ChatGPT Performance Evaluation
Few-shot is enough: exploring ChatGPT prompt engineering method for automatic question generation in english education
Large language models in medical and healthcare fields: applications, advances, and challenges
Whither research integrity? Plagiarism, self-plagiarism and coercive citation in an age of research assessment
Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis
The role of telemedicine in postoperative care
The attributes of medical event-reporting systems: experience with a prototype medical event-reporting system for transfusion medicine.
CardioVerse: The cardiovascular medicine in the era of Metaverse
Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots
Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications
Human-Centered Design to Address Biases in Artificial Intelligence
Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care