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 …
[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 …
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 …
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 …
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 …
[HTML][HTML] Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
D Van de Sande, ME Van Genderen… - BMJ health & care …, 2022 - ncbi.nlm.nih.gov
Objective Although the role of artificial intelligence (AI) in medicine is increasingly studied,
most patients do not benefit because the majority of AI models remain in the testing and …
most patients do not benefit because the majority of AI models remain in the testing and …
The integration of artificial intelligence into clinical practice
VD Karalis - Applied Biosciences, 2024 - mdpi.com
The purpose of this literature review is to provide a fundamental synopsis of current research
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …
Artificial intelligence and machine learning for clinical pharmacology
DK Ryan, RH Maclean, A Balston… - British Journal of …, 2024 - Wiley Online Library
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …
discovery and development, clinical trials, personalized medicine, pharmacogenomics …
Artificial intelligence-enabled healthcare delivery
In recent years, there has been massive progress in artificial intelligence (AI) with the
development of deep neural networks, natural language processing, computer vision and …
development of deep neural networks, natural language processing, computer vision and …
Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines
Background The application of artificial intelligence (AI) in healthcare is an area of immense
interest. The high profile of 'AI in health'means that there are unusually strong drivers to …
interest. The high profile of 'AI in health'means that there are unusually strong drivers to …