Artificial intelligence and machine learning (AI/ML), as outlined in this book, promise to assist with certain empirical uncertainties, but may also produce new and vexing ethical questions in the context of cl
Artificial Intelligence in Medicine: The Virtual Branch The application of AI in medicine has two main branches: virtual and physical. The virtual component is represented by Machine Learning, (also called Deep Learning) that is represented by mathematical algorithms that improve learning through experie...
Artificial intelligence (AI) has rapidly become a key driver of innovation in medical diagnosis and patient care. There has been a sharp rise in clinical research incorporating AI in recent years (Shi et al.), underscoring its potential across healthcare. Early applications range from machine lear...
The artificial intelligence (AI) in clinical trials market size is expected to see exponential growth in the next few years. It will grow to$38.03 billion in 2029 at a compound annual growth rate (CAGR) of 39.2%.The growth in the forecast period can be attributed to personalized...
The development of artificial intelligence (AI)-based technologies in medicine is advancing rapidly, but real-world clinical implementation has not yet become a reality. Here we review some of the key practical issues surrounding the implementation of AI
Haug CJ, and Drazen JM. Artificial intelligence and machine learning in clinical medicine, 2023. N Engl J Med 2023;388:1201-8. 版权信息 本文由《NEJM医学前沿》编辑部负责翻译、编写或约稿。对于源自NEJM集团旗下英文产品的翻译和编写文章,内容请以英文原版...
Current Contents - Clinical Medicine 期刊简介: Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, medically-oriented human biology, and health care. Artificial ...
The transformative role of artificial intelligence (AI) in health care has been forecast for decades,1 but only recently have technological advances appeared to capture some of the complexity of health and disease and how health care is delivered.2 Recent emergence of large language models (LLMs)...
Artificial Intelligence in Medicine considers for publication manuscripts that have both: • Potential high impact in some medical or healthcare domain; • Strong novelty of method and theory related to AI and computer science techniques. Artificial Intelligence in Medicine papers must refer to real...
In the third wave, trials will be conducted without any risks to patients, as AI algorithms will model clinical outcomes. Fully automating clinical trials with artificial intelligence is still far in the future, but we already witness attempts of AI-based in vitro testing. ...