A guide to deep learning in healthcare
Here we present deep-learning techniques for healthcare, centering our discussion on deep
learning in computer vision, natural language processing, reinforcement learning, and …
learning in computer vision, natural language processing, reinforcement learning, and …
[HTML][HTML] Machine learning for surgical phase recognition: a systematic review
CR Garrow, KF Kowalewski, L Li, M Wagner… - Annals of …, 2021 - journals.lww.com
Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …
surgical phase recognition. Background: Phase recognition identifies different steps and …
A new era: artificial intelligence and machine learning in prostate cancer
SL Goldenberg, G Nir, SE Salcudean - Nature Reviews Urology, 2019 - nature.com
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 …
particular goal based on provided data—is revolutionizing and reshaping our health-care …
eD octor: machine learning and the future of medicine
GS Handelman, HK Kok, RV Chandra… - Journal of internal …, 2018 - Wiley Online Library
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 …
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges
Abstract Progress in Information and Communication Technologies (ICTs) is shaping more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
Extraction of mechanical properties of materials through deep learning from instrumented indentation
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 …
versatile and practical means of extracting mechanical properties of materials. This method …
Artificial intelligence in the intensive care unit
G Gutierrez - Annual Update in Intensive Care and Emergency …, 2020 - Springer
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 …
patients in the intensive care unit (ICU) is advancing rapidly from future possibility to …
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
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 …
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
Artificial intelligence surgery: How do we get to autonomous actions in surgery?
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 …
Interestingly, many examples of autonomous actions already exist and have been around for …
Advanced applications of industrial robotics: New trends and possibilities
A Dzedzickis, J Subačiūtė-Žemaitienė, E Šutinys… - Applied Sciences, 2021 - mdpi.com
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 …
industrial field. Robotic solutions in areas with non-intensive applications are presented, and …