Automatic matching of surgeries to predict surgeons’ next actions
نویسندگان
چکیده
منابع مشابه
Automatic matching of surgeries to predict surgeons' next actions
OBJECTIVE More than half a million surgeries are performed every day worldwide, which makes surgery one of the most important component of global health care. In this context, the objective of this paper is to introduce a new method for the prediction of the possible next task that a surgeon is going to perform during surgery. MATERIAL AND METHOD We formulate the problem as finding the optima...
متن کاملAn Approach for Automatic Matching of Descriptive Addresses
Address matching (also called geocoding) is an applied spatial analysis which is frequently used in everyday life. Almost all desktop and web-based GIS environments are equipped with a module to match the addresses expressed in pre-defined standard formats on the map. It is an essential prerequisite for many of the functionalities provided by location-based services (e.g. car navigation). Sever...
متن کاملTeaching and Training Surgery to the Next Generation of Surgeons
Training surgical residents to become the next generation of surgeons involves very significant challenges not faced by educators of a generation ago. Never before have educators had to face the unique challenges involved in surgical education that are now becoming more clearly defined. This discussion will focus on inguinal hernia repair as an index operation to illustrate the challenge faced ...
متن کاملExposure of Surgeons to Extremely Low-Frequency Magnetic Fields During Laparoscopic and Robotic Surgeries
The development of new medical electronic devices and equipment has increased the use of electrical apparatuses in surgery. Many studies have reported the association of long-term exposure to extremely low-frequency magnetic fields (ELF-MFs) with diseases or cancer. Robotic surgery has emerged as an alternative tool to overcome the disadvantages of conventional laparoscopic surgery. However, th...
متن کاملHardware Simulation of Pattern Matching and Reinforcement Learning to Predict the User next Action of Smart Home Device Usage
Future Smart-Home device usage prediction is a very important module in artificial intelligence. The technique involves analyzing the user performed actions history and apply mathematical methods to predict the most feasible next user action. Unfortunately most of the techniques tend to ignore the adaptation to the user preferred actions and the relation between the actions and the state of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence in Medicine
سال: 2017
ISSN: 0933-3657
DOI: 10.1016/j.artmed.2017.03.007