2020
DOI: 10.1002/adtp.202000015
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Digital Medicine – The New Frontier for AI in Healthcare

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Cited by 7 publications
(9 citation statements)
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References 23 publications
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“…Artificial intelligence (AI) can also be integrated into the functioning of nanoparticle-based dressings [ 278 , 279 ]. AI avails of health benefits by automated learning and proctoring myriads of clinical records for manging wound care decision making with predictive data [ 280 ].…”
Section: Advanced Nanotechnologymentioning
confidence: 99%
“…Artificial intelligence (AI) can also be integrated into the functioning of nanoparticle-based dressings [ 278 , 279 ]. AI avails of health benefits by automated learning and proctoring myriads of clinical records for manging wound care decision making with predictive data [ 280 ].…”
Section: Advanced Nanotechnologymentioning
confidence: 99%
“…The technological significance of our novel tool and others in this space is immaterial if those commissioning and practicing medicine fail to see the relevance of its impact on both the efficiency and effectiveness of clinical care. The growth of software use in the healthcare sector has been driven in part by meeting clinical need but also through the expansion of software providers looking to exploit new markets [68]. Sometimes these tools fail to meet the basic needs of utility and usability required by clinicians and support staff [69] and there has been a previous reluctance to engage end-users in the procurement of healthcare technologies leading to a reluctance to engage with digital solutions [70][71][72][73][74].…”
Section: Winning Hearts and Mindsmentioning
confidence: 99%
“…In the future, nanoparticle-based dressings can also integrate their functionality with artificial intelligence (AI). In cancer research, AI has been developed based on a convolutional neural network to rapidly identify various tumor cells from normal mammalian cells with 96% accuracy . A novel technology named “quantitative live cell histology” has been reported using AI to identify melanoma cells and predict the spread of melanoma .…”
Section: Challenges and Perspectivesmentioning
confidence: 99%