AIMC Topic: United States

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Discovery of moiety preference by Shapley value in protein kinase family using random forest models.

BMC bioinformatics
BACKGROUND: Human protein kinases play important roles in cancers, are highly co-regulated by kinase families rather than a single kinase, and complementarily regulate signaling pathways. Even though there are > 100,000 protein kinase inhibitors, onl...

A scholarly network of AI research with an information science focus: Global North and Global South perspectives.

PloS one
This paper primarily aims to provide a citation-based method for exploring the scholarly network of artificial intelligence (AI)-related research in the information science (IS) domain, especially from Global North (GN) and Global South (GS) perspect...

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.

IEEE journal of biomedical and health informatics
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical for public health, especially during the COVID-19 pandemic, as institutions and government a...

The Atlantic divide: contrasting surgical robotics training in the USA, UK and Ireland.

Journal of robotic surgery
The uptake of robotic surgery is rapidly increasing worldwide across surgical specialties. However, there is currently a much higher use of robotic surgery in the United States of America (USA) compared to the United Kingdom (UK) and Ireland. Reduced...

Explaining spatial accessibility to high-quality nursing home care in the US using machine learning.

Spatial and spatio-temporal epidemiology
In this study we measure and map the system-wide spatial accessibility to good quality nursing home care for all counties in the contiguous United States, and use an 'imputed post-lasso' machine learning technique to systematically examine this acces...

Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Journal of the American Heart Association
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk factors using natural language processing (NLP) and machine learning could improve risk prediction ...

The current status of breakthrough devices designation in the United States and innovative medical devices designation in Korea for digital health software.

Expert review of medical devices
INTRODUCTION: Artificial Intelligence (AI) is becoming increasingly utilized in the medical device industry as it can address unmet demands in clinical sites and provide more patient treatment options. This study aims to analyze the FDA's Breakthroug...

A comparative study of regulatory perspectives on innovative medical devices in Korea and the United States.

Expert review of medical devices
INTRODUCTION: As the 4th Industrial Revolution era emerges, medical devices that apply technologies such as big data, artificial intelligence, and 3D printers are on the rise. In April 2019, Korea introduced the Act on Nurturing Medical Devices Indus...

Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis.

BMC cancer
BACKGROUND: We collected information on patients with rectal adenocarcinoma in the United States from the Surveillance, Epidemiology, and EndResults (SEER) database. We used this information to establish a model that combined deep learning with a mul...