Hospital-Based Medicine

Surveillance

Latest AI and machine learning research in surveillance for healthcare professionals.

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CT angiography prior to endovascular procedures: can artificial intelligence improve reporting?

CT angiography prior to endovascular aortic surgery is the standard non-invasive imaging method for ...

Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques.

In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database...

Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models.

This work puts forth and demonstrates the utility of a reporting framework for collecting and evalua...

Deep Learning Enables Automatic Correction of Experimental HDX-MS Data with Applications in Protein Modeling.

Observed mass shifts associated with deuterium incorporation in hydrogen-deuterium exchange mass spe...

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.

BACKGROUND: Diabetes mellitus (DM) is a major health concern among children with the widespread adop...

A checklist for reporting, reading and evaluating Artificial Intelligence Technology Enhanced Learning (AITEL) research in medical education.

Advances in Artificial Intelligence (AI) have led to AI systems' being used increasingly in medical ...

characterization and molecular epidemiology of spp. isolates from non-HIV patients in Guangdong, China.

BACKGROUND: The burden of cryptococcosis in mainland China is enormous. However, the characterizati...

From Data to Decisions: How Artificial Intelligence Is Revolutionizing Clinical Prediction Models in Plastic Surgery.

The impact of clinical prediction models within artificial intelligence (AI) and machine learning is...

An integration of hybrid MCDA framework to the statistical analysis of computer-based health monitoring applications.

The surge in computer-based health surveillance applications, leveraging technologies like big data ...

A primer on the use of machine learning to distil knowledge from data in biological psychiatry.

Applications of machine learning in the biomedical sciences are growing rapidly. This growth has bee...

Artificial intelligence in oral health surveillance among under-served communities.

A sizable percentage of the population in India still does not have easy access to dental facilities...

Homicide among Indigenous females in North Carolina: a comparison of publicly generated data and violent death reporting system.

Like other minoritized populations, American Indian/Alaska Native (AI/AN) females experience dispara...

Enhancing Pressure Injury Surveillance Using Natural Language Processing.

OBJECTIVE: This study assessed the feasibility of nursing handoff notes to identify underreported ho...

Monitoring the Epidemiology of Otitis Using Free-Text Pediatric Medical Notes: A Deep Learning Approach.

Free-text information represents a valuable resource for epidemiological surveillance. Its unstructu...

Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018.

Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic W...

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