Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review
Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …
insights from Electronic Health Records (EHRs). However, the lack of annotated data …
Artificial intelligence in orthopedic surgery: evolution, current state and future directions
AP Kurmis, JR Ianunzio - Arthroplasty, 2022 - Springer
Technological advances continue to evolve at a breath-taking pace. Computer-navigation,
robot-assistance and three-dimensional digital planning have become commonplace in …
robot-assistance and three-dimensional digital planning have become commonplace in …
Machine learning and artificial intelligence in research and healthcare
Artificial intelligence (AI) is a broad term referring to the application of computational
algorithms that can analyze large data sets to classify, predict, or gain useful conclusions …
algorithms that can analyze large data sets to classify, predict, or gain useful conclusions …
Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
Artificial intelligence in orthopaedic surgery: exploring its applications, limitations, and future direction
AB Lisacek-Kiosoglous, AS Powling… - Bone & joint …, 2023 - boneandjoint.org.uk
The use of artificial intelligence (AI) is rapidly growing across many domains, of which the
medical field is no exception. AI is an umbrella term defining the practical application of …
medical field is no exception. AI is an umbrella term defining the practical application of …
Applying deep learning to establish a total hip arthroplasty radiography registry: a stepwise approach
Background: Establishing imaging registries for large patient cohorts is challenging because
manual labeling is tedious and relying solely on DICOM (digital imaging and …
manual labeling is tedious and relying solely on DICOM (digital imaging and …
Recommended practices and ethical considerations for natural language processing‐assisted observational research: a scoping review
An increasing number of studies have reported using natural language processing (NLP) to
assist observational research by extracting clinical information from electronic health records …
assist observational research by extracting clinical information from electronic health records …
Profiling the immune response to periprosthetic joint infection and non-infectious arthroplasty failure
Arthroplasty failure is a major complication of joint replacement surgery. It can be caused by
periprosthetic joint infection (PJI) or non-infectious etiologies, and often requires surgical …
periprosthetic joint infection (PJI) or non-infectious etiologies, and often requires surgical …
[HTML][HTML] Machine understanding surgical actions from intervention procedure textbooks
The automatic extraction of procedural surgical knowledge from surgery manuals, academic
papers or other high-quality textual resources, is of the utmost importance to develop …
papers or other high-quality textual resources, is of the utmost importance to develop …
Application of natural language processing in total joint arthroplasty: opportunities and challenges
Total joint arthroplasty is becoming one of the most common surgeries within the United
States, creating an abundance of analyzable data to improve patient experience and …
States, creating an abundance of analyzable data to improve patient experience and …