AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Hospitals, University

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Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.

International journal of nursing studies
BACKGROUND: In hospitals, nurses are responsible for pressure injury risk assessment using several kinds of risk assessment scales. However, their predictive validity is insufficient to initiate targeted preventive strategy for each patient. The use ...

Development of a system to support warfarin dose decisions using deep neural networks.

Scientific reports
The first aim of this study was to develop a prothrombin time international normalized ratio (PT INR) prediction model. The second aim was to develop a warfarin maintenance dose decision support system as a precise warfarin dosing platform. Data of 1...

Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals.

The Journal of international medical research
OBJECTIVES: Early detection of coronavirus disease 2019 (COVID-19) is crucial for patients and public health to ensure pandemic control. We aimed to correlate clinical and laboratory data of patients with COVID-19 and their polymerase chain reaction ...

Evaluating diagnostic content of AI-generated chest radiography: A multi-center visual Turing test.

PloS one
BACKGROUND: Accurate interpretation of chest radiographs requires years of medical training, and many countries face a shortage of medical professionals to meet such requirements. Recent advancements in artificial intelligence (AI) have aided diagnos...

A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation.

International journal of medical informatics
BACKGROUND: Artificial intelligence aided tumor segmentation has been applied in various medical scenarios and showed effectiveness in helping physicians observe the potential malignant tissues. However, little research has been conducted for the cys...

Microbiological and Virological Knowledge-Based Alert Service.

Studies in health technology and informatics
Hospital wards need immediate information about multi-resistant pathogens and contagious viruses in their hospitalized patients. An alert service configurable with Arden-Syntax-based alert definitions passing through an ontology service to complement...

Understanding and Use of Artificial Intelligence Among Doctors in a University Hospital in Morocco.

Studies in health technology and informatics
INTRODUCTION: Research and development in artificial intelligence (AI) has increased dramatically over the past decade, with all areas of life being affected and particularly the medical field. It is with this in mind that this study focused on the p...

Performance of a multidisciplinary robotic surgery program at a university hospital (2012-2022).

Journal of robotic surgery
Robotic-assisted surgery has become widely adopted for its ability to expand the indications for minimally invasive procedures. This technology aims to improve precision, accuracy, and outcomes while reducing complications, blood loss, and recovery t...

Extracting laboratory test information from paper-based reports.

BMC medical informatics and decision making
BACKGROUND: In the healthcare domain today, despite the substantial adoption of electronic health information systems, a significant proportion of medical reports still exist in paper-based formats. As a result, there is a significant demand for the ...

Deep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest Radiographs in Intensive and Emergency Medicine: A Multicenter Retrospective Study.

Critical care medicine
OBJECTIVES: We aimed to develop a computer-aided detection (CAD) system to localize and detect the malposition of endotracheal tubes (ETTs) on portable supine chest radiographs (CXRs).