AIMC Topic: Artificial Intelligence

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Comprehensive Prediction of Lipocalin Proteins Using Artificial Intelligence Strategy.

Frontiers in bioscience (Landmark edition)
BACKGROUND: Lipocalin belongs to the calcyin family, and its sequence length is generally between 165 and 200 residues. They are mainly stable and multifunctional extracellular proteins. Lipocalin plays an important role in several stress responses a...

[Artificial intelligence-based fluorescence method versus traditional flow cytometry in detection of sperm DNA fragmentation index].

Zhonghua nan ke xue = National journal of andrology
OBJECTIVE: To compare the result of the artificial intelligence (AI) recognition-based fluorescence method and that of traditional flow cytometry in the examination of the sperm DNA fragmentation index (DFI) and assess the reliability of the AI-based...

[Comparative study of two software for the detection of cephalometric landmarks by artificial intelligence].

L' Orthodontie francaise
INTRODUCTION: Manual, tedious cephalometric analyzes of a lack of productivity (errors in plotting and measurement) making the prospect of a fully automated algorithm turning out attractive. The objectives of the study were to evaluate the positionin...

Artificial Intelligence in Cardiovascular Medicine: Historical Overview, Current Status, and Future Directions.

Texas Heart Institute journal
Artificial intelligence and machine learning are rapidly gaining popularity in every aspect of our daily lives, and cardiovascular medicine is no exception. Here, we provide physicians with an overview of the past, present, and future of artificial i...

Artificial Intelligence for Education, Proctoring, and Credentialing in Cardiovascular Medicine.

Texas Heart Institute journal
Artificial intelligence and machine learning are rapidly gaining popularity in every aspect of cardiovascular medicine. This review discusses the past, present, and future of artificial intelligence in education, remote proctoring, credentialing, res...

Artificial Intelligence in Echocardiography.

Texas Heart Institute journal
Artificial intelligence in diagnostic cardiac-imaging platforms is advancing rapidly. In particular, artificial intelligence algorithms have increased the efficiency and accuracy of echocardiographic cardiovascular imaging, resulting in more complex ...

Artificial Intelligence and Machine Learning in Cardiac Electrophysiology.

Texas Heart Institute journal
Cardiac electrophysiology requires the processing of several patient-specific data points in real time to provide an accurate diagnosis and determine an optimal therapy. Expanding beyond the traditional tools that have been used to extract informatio...