Alle Papers – KI in der Medizin
166.704 Papers insgesamt · Seite 64 von 400
Are Current Tort Liability Doctrines Adequate for Addressing Injury Caused by AI?
Educational Applications of the ChatGPT AI System: A Systematic Review Research
Artificial Intelligence for Healthcare in Africa
Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease
Regulatory Frameworks for Development and Evaluation of Artificial Intelligence–Based Diagnostic Imaging Algorithms: Summary and Recommendations
Online Medical Education in India – Different Challenges and Probable Solutions in the Age of COVID-19
Addressing Social Determinants of Health
The science of choosing the right decision threshold in high-stakes diagnostics.
How Does ChatGPT Perform on the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment
EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images
Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions
Sustainability of Healthcare Data Analysis IoT-Based Systems Using Deep Federated Learning
Current applications and challenges in large language models for patient care: a systematic review
A Unified Framework of Five Principles for AI in Society
Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity
A guide to artificial intelligence for cancer researchers
Early applications of ChatGPT in medical practice, education and research
Discussing ChatGPT in education: A literature review and bibliometric analysis
The Impact of Multimodal Large Language Models on Health Care’s Future
The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis
The past, present and future role of artificial intelligence in imaging
Attitudes and perceptions of dental students towards artificial intelligence
Machine Learning vs. Conventional Statistical Models for Predicting Heart Failure Readmission and Mortality
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods