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Use of Artificial Intelligence in Cardiology: Where Are We in Africa?
Cardiovascular diseases are the leading cause of death. Their inherent silent nature makes them often challenging to detect very early. The...
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Interactive Process Mining Applied in a Cardiology Outpatient Department
Cardiology departments receive many outpatients from primary care services and it is necessary to differentiate which patients need special...
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Analysis of Non-imaging Data
Whilst most of this book has focused on imaging data because of the key role it plays in cardiology, non-imaging data also has an important role to...
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Digital twins in medicine
Medical digital twins, which are potentially vital for personalized medicine, have become a recent focus in medical research. Here we present an...
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Winning the IT Team’s Structure
Today, the Cleveland Clinic is an exemplary hospital for a patient-centric and employee-centric institution with world-class customer care executives...
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Negation Detection in Medical Texts
Negation detection refers to the automatic identification of linguistic expression that convey negation within a textual content. In medical and...
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AI and Machine Learning: The Basics
In this chapter the key concepts of artificial intelligence and machine learning are introduced. The importance of first identifying and defining the...
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Application of Neural Networks in Early Warning Systems for Coronary Heart Disease
This paper presents a BP neural network-based algorithm for the identification of coronary heart disease through the clinical data of cardiology for...
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Identifying patients in need of psychological treatment with language representation models
Early diagnosis of psychological disorders is very important for patients to regain their health. Research shows that many patients do not realize...
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Challenges of Machine Learning and AI (What Is Next?), Responsible and Ethical AI
Research in medical artificial intelligence (AI) is experiencing an explosive growth. This growth highlights the potential of AI to significantly...
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Magnetometric SQUID Systems and Magnetic Measurement Methods for Biomedical Research
AbstractThis article presents a review of domestic research on the development of new medical equipment and technologies using equipment and methods...
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Automatic gait analysis through computer vision: a pilot study
Kinesiologists who study people's posture during walking depend on spreadsheets and visual posture reviews. Gold-standard evaluation relies on expert...
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Hypertension risk prediction models for patients with diabetes based on machine learning approaches
To construct effective prediction models for hypertension in diabetic patients based on machine learning. This study used electronic data from 2080...
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AI in the Real World
This chapter deals with important considerations to factor in when translating technical advances in AI to real clinical workflows. The importance of...
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Impact of Hypertension on Left Ventricular Pressure-Strain Loop Characteristics and Myocardial Work
Hypertension is a major risk factor for cardiovascular disease. Pressure-strain loop analysis has recently been introduced as a clinical tool to...
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Gastric Ulcer Detection in Endoscopic Images Using MobileNetV3-Small
In modern medicine, endoscopy plays a very important role as it allows physicians to detect severe diseases in early development stages. However,...
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Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease
Electronic medical record (EMR) is an important carrier of medical health information and contains rich knowledge in medical field. Based on the text...
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Operating Room of the Future (FOR) Digital Healthcare Transformation in the Age of Artificial Intelligence
New technologies are emerging under the umbrella of digital transformation in healthcare such as artificial intelligence (AI) and medical analytics...
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Technological Solution to Optimize Outpatient Waiting Time for Medical Care Between Multiple Private Healthcare Institutions – A Preliminary Research
This article proposes a technological solution that allows optimizing the outpatient waiting time for medical care among private health care...
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Unexpected Alliance of Cardiovascular Diseases and Artificial Intelligence in Health Care
In spite of having significant advances in medical field for diagnosis and treatment purposes, still there are lack of diagnosis methods for...