… However, the long ablation time for dentin (3.5 h) precluded its clinical application. An
automatic robotic system is still an underdeveloped area of research in fixed prosthodontics. In …

… Historically, artificially intelligent systems applied handcrafted rules to the specific tasks
they were meant to solve. Each task required domain-specific knowledge, engineering and …

… artificial intelligent techniques used in the brain care domain, along with a review of important
clinical applications… of Science was carried out using “artificial intelligence” and “brain” as …

… To date, most clinical applications of AI for the COVID-19 response have focused on
diagnosis based on medical imaging, with an increasing number of studies exploring non-invasive …

… kinds of imaging and clinical characteristics to best represent … binary outcomes such as good
clinical outcome (ie, modified … we will review AI applications in stroke imaging showing that …

… therapeutic approaches and clinical management, and its AI-… from AI-based devices in
clinical practice are first of all breast … the accuracy of AI applications for clinical decision-making. …

… , and drug discovery, but has yet to show clinical value to the patients. Deep Mind is also
being looked at for applications including mobile medical assistant, diagnostics based on …

… Spider diagram of (a) clinical applications and (b) operational applications for the digital
health technology domains described in COVID-19. Scale for the radial axes of this chart are …

… Artificial intelligence (AI) is a disruptive technology that involves the use of computerised
algorithms to dissect complicated data. Among the most promising clinical applications … clinical …

… medical sensors and artificial intelligence (AI) for advanced clinical decision support systems
to … devices could enable interactive and evolving clinical decisions that could be used for …