[HTML][HTML] Assessing the economic value of clinical artificial intelligence: challenges and opportunities

N Hendrix, DL Veenstra, M Cheng, NC Anderson… - Value in Health, 2022 - Elsevier
Artificial intelligence (AI) is increasingly being used in clinical applications. Nevertheless,
its flexibility and difficulties around collecting data on its clinical impacts make value …

A survey of deep-learning applications in ultrasound: Artificial intelligence–powered ultrasound for improving clinical workflow

Z Akkus, J Cai, A Boonrod, A Zeinoddini… - Journal of the American …, 2019 - Elsevier
Artificial intelligence (AI)–powered ultrasound is becoming more mature and getting closer
to routine clinical applications … of classical machine learning methods to clinical applications

Artificial intelligence in ophthalmology: accuracy, challenges, and clinical application

Z Tan, J Scheetz, M He - The Asia-Pacific Journal of …, 2019 - journals.lww.com
Artificial intelligence (AI) technologies promise a revolution in the way we … “artificial
intelligence” was first coined by John McCarthy in 1955 to describe the science of creating intelligent

Artificial intelligence, bias and clinical safety

R Challen, J Denny, M Pitt, L Gompels… - BMJ quality & …, 2019 - qualitysafety.bmj.com
… , artificial intelligence (AI) research is becoming increasingly focused on applying machine
learning (ML… A general framework for considering clinical artificial intelligence (AI) quality and …

Artificial intelligence and machine learning in clinical development: a translational perspective

P Shah, F Kendall, S Khozin, R Goosen, J Hu… - NPJ digital …, 2019 - nature.com
… Future of clinical development is on the verge of a major … efficient artificial intelligence and
machine-learning algorithms, … computational evidence into clinical development and health …

Applications of artificial intelligence in clinical microbiology diagnostic testing

KP Smith, H Wang, TJS Durant, BA Mathison… - Clinical Microbiology …, 2020 - Elsevier
clinical applications are discovered and developed and as sequencing costs continue to
decrease, WGS and ML-based tools will likely move into more routine clinical use in our clinical

[HTML][HTML] Delivering personalized medicine in retinal care: from artificial intelligence algorithms to clinical application

JJ Hopkins, PA Keane, K Balaskas - Current opinion in …, 2020 - journals.lww.com
… As the artificial intelligence field continues to evolve and … clinical applications (often termed
‘use cases’) will greatly expand. In the coming years, we are likely to see clinical applications

Artificial intelligence in clinical and translational science: Successes, challenges and opportunities

EV Bernstam, PK Shireman… - Clinical and …, 2022 - Wiley Online Library
… can meaningfully impact clinical care. This may be one reason why multiple research and
clinical applications have been developed, but relatively few applications have successfully …

Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application?

KH Kim, JM Kwon, T Pereira, ZI Attia… - Current cardiology …, 2022 - Springer
… Toward replacing late gadolinium enhancement with artificial intelligence virtual native …
In this study, artificial intelligence was used to develop a CMR virtual native enhancement (…

Inclusion of clinicians in the development and evaluation of clinical artificial intelligence tools: a systematic literature review

S Tulk Jesso, A Kelliher, H Sanghavi, T Martin… - Frontiers in …, 2022 - frontiersin.org
… (1) how designers and developers of clinical AI interact with clinical end users during the …
products to clinicians once they are implemented into clinical practice. This work extends that of …