Here we present deep-learning techniques for healthcare, centering our discussion on deep
learning in computer vision, natural language processing, reinforcement learning, and …

Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …

Artificial intelligence (AI)—the ability of a machine to perform cognitive tasks to achieve a
particular goal based on provided data—is revolutionizing and reshaping our health-care …

Abstract Machine learning (ML) is a burgeoning field of medicine with huge resources being
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …

Abstract Progress in Information and Communication Technologies (ICTs) is shaping more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …

Instrumented indentation has been developed and widely utilized as one of the most
versatile and practical means of extracting mechanical properties of materials. This method …

The application of artificial intelligence (AI) techniques to the monitoring and treatment of
patients in the intensive care unit (ICU) is advancing rapidly from future possibility to …

Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …

Most surgeons are skeptical as to the feasibility of autonomous actions in surgery.
Interestingly, many examples of autonomous actions already exist and have been around for …

This review is dedicated to the advanced applications of robotic technologies in the
industrial field. Robotic solutions in areas with non-intensive applications are presented, and …