AIMC Topic: Diagnosis, Computer-Assisted

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[Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
The rapid development of computer technologies brings us great changes in daily life and work. Artificial intelligence is a branch of computer science, which is to allow computers to exercise activities that are normally confined to intelligent life....

Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Methodist DeBakey cardiovascular journal
Cardiovascular disease is the leading cause of mortality in Western countries and leads to a spectrum of complications that can complicate patient management. The emergence of artificial intelligence (AI) has garnered significant interest in many ind...

[AI-based computer-aided diagnosis (AI-CAD): The latest review to read first].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics

Contribution of neural networks in the diagnosis and treatment of cardiac arrhythmia.

Discovery medicine
Arrhythmia is a dangerous disease in which the heart rhythm varies and it may be very fast or very slow. Rapid heartbeats can lead to shortness of breath, chest pain, and sudden weakness, whereas slow heartbeats can lead to dizziness, problems with c...

A Survey on Machine Learning Algorithms for the Diagnosis of Breast Masses with Mammograms.

Current medical imaging
Breast cancer is leading cancer among women for the past 60 years. There are no effective mechanisms for completely preventing breast cancer. Rather it can be detected at its earlier stages so that unnecessary biopsy can be reduced. Although there ar...

Artificial Intelligence in Cardiovascular Imaging.

Methodist DeBakey cardiovascular journal
The number of cardiovascular imaging studies is growing exponentially, and so is the need to improve clinical workflow efficiency and avoid missed diagnoses. With the availability and use of large datasets, artificial intelligence (AI) has the potent...

Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.

Advances in experimental medicine and biology
There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagnostic biomarkers. Like the majority of diseases, the earlier the diagnosis, the most effective the treatment. (Semi)-automated structural magnetic res...

Toward an Automatic System for Computer-Aided Assessment in Facial Palsy.

Facial plastic surgery & aesthetic medicine
Quantitative assessment of facial function is challenging, and subjective grading scales such as House-Brackmann, Sunnybrook, and eFACE have well-recognized limitations. Machine learning (ML) approaches to facial landmark localization carry great cl...

Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.

Advances in experimental medicine and biology
For computer-aided diagnosis (CAD), detection, segmentation, and classification from medical imagery are three key components to efficiently assist physicians for accurate diagnosis. In this chapter, a completely integrated CAD system based on deep l...