Evaluating artificial intelligence in medicine: phases of clinical research
Increased scrutiny of artificial intelligence (AI) applications in healthcare highlights the need
for real-world evaluations for effectiveness and unintended consequences. The complexity …
for real-world evaluations for effectiveness and unintended consequences. The complexity …
Key challenges for delivering clinical impact with artificial intelligence
Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …
potential applications being demonstrated across various domains of medicine. However …
Artificial intelligence applied to clinical trials: opportunities and challenges
S Askin, D Burkhalter, G Calado, S El Dakrouni - Health and technology, 2023 - Springer
Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …
development. Given the evolving data-driven and personalized medicine approach in …
The missing pieces of artificial intelligence in medicine
Stakeholders across the entire healthcare chain are looking to incorporate artificial
intelligence (AI) into their decision-making process. From early-stage drug discovery to …
intelligence (AI) into their decision-making process. From early-stage drug discovery to …
[HTML][HTML] Artificial intelligence in medicine: chances and challenges for wide clinical adoption
J Varghese - Visceral medicine, 2020 - karger.com
Background: Artificial intelligence (AI) applications that utilize machine learning are on the
rise in clinical research and provide highly promising applications in specific use cases …
rise in clinical research and provide highly promising applications in specific use cases …
Artificial intelligence in medicine: weighing the accomplishments, hype, and promise
EH Shortliffe - Yearbook of medical informatics, 2019 - thieme-connect.com
Introduction: Artificial Intelligence in Medicine (AIM) research is now 50 years old, having
made great progress that has tracked the corresponding evolution of computer science …
made great progress that has tracked the corresponding evolution of computer science …
Developing a delivery science for artificial intelligence in healthcare
Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly
driven by the emergence of increasingly accurate machine learning models. However, the …
driven by the emergence of increasingly accurate machine learning models. However, the …
[HTML][HTML] Artificial intelligence in healthcare: transforming the practice of medicine
Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the
potential to fundamentally transform the practice of medicine and the delivery of healthcare …
potential to fundamentally transform the practice of medicine and the delivery of healthcare …
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
[图书][B] Artificial intelligence in medicine: technical basis and clinical applications
L Xing, ML Giger, JK Min - 2020 - books.google.com
Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a
comprehensive overview of the field, ranging from its history and technical foundations, to …
comprehensive overview of the field, ranging from its history and technical foundations, to …
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