AIMC Topic: Cardiology
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Designing medical artificial intelligence systems for global use: focus on interoperability, scalability, and accessibility.
Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese
Jul 16, 2024
Advances in artificial intelligence (AI) and machine learning systems promise faster, more efficient, and more personalized care. While many of these models are built on the premise of improving access to the timely screening, diagnosis, and treatmen...
Current status and future directions in artificial intelligence for nuclear cardiology.
Expert review of cardiovascular therapy
Jul 16, 2024
INTRODUCTION: Myocardial perfusion imaging (MPI) is one of the most commonly ordered cardiac imaging tests. Accurate motion correction, image registration, and reconstruction are critical for high-quality imaging, but this can be technically challeng...
Assessing GPT-4's Performance in Delivering Medical Advice: Comparative Analysis With Human Experts.
JMIR medical education
Jul 8, 2024
BACKGROUND: Accurate medical advice is paramount in ensuring optimal patient care, and misinformation can lead to misguided decisions with potentially detrimental health outcomes. The emergence of large language models (LLMs) such as OpenAI's GPT-4 h...
The premise, promise, and perils of artificial intelligence in critical care cardiology.
Progress in cardiovascular diseases
Jun 25, 2024
Artificial intelligence (AI) is an emerging technology with numerous healthcare applications. AI could prove particularly useful in the cardiac intensive care unit (CICU) where its capacity to analyze large datasets in real-time would assist clinicia...
[Artificial intelligence in cardiovascular radiology : Image acquisition, image reconstruction and workflow optimization].
Radiologie (Heidelberg, Germany)
Jun 24, 2024
BACKGROUND: Artificial intelligence (AI) has the potential to fundamentally change radiology workflow.
Exploring the Integration of Artificial Intelligence in Cardiovascular Medical Education: Unveiling Opportunities and Advancements.
The Canadian journal of cardiology
Jun 20, 2024
Revolutionizing Cardiology With Words: Unveiling the Impact of Large Language Models in Medical Science Writing.
The Canadian journal of cardiology
May 31, 2024
Large language models (LLMs) are a unique form of machine learning that facilitates inputs of unstructured text/numerical information for meaningful interpretation and prediction. Recently, LLMs have become commercialized, allowing the average person...
Ethical Concerns for Remote Computer Perception in Cardiology: New Stages for Digital Health Technologies, Artificial Intelligence, and Machine Learning.
Circulation. Cardiovascular quality and outcomes
May 21, 2024
Advancing Fairness in Cardiac Care: Strategies for Mitigating Bias in Artificial Intelligence Models Within Cardiology.
The Canadian journal of cardiology
May 11, 2024
In the dynamic field of medical artificial intelligence (AI), cardiology stands out as a key area for its technological advancements and clinical application. In this review we explore the complex issue of data bias, specifically addressing those enc...
An Artificial Intelligence-Driven Approach for Automatic Evaluation of Right-to-Left Shunt Grades in Saline-Contrasted Transthoracic Echocardiography.
Ultrasound in medicine & biology
May 1, 2024
BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorders, specifically cryptogenic stroke. Saline-contrasted transthoracic echocardiography (scTTE) is ofte...
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