AIMC Topic: Artificial Intelligence

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How AI Is Optimizing the Detection and Management of Prostate Cancer.

IEEE pulse
Annually, approximately 20 million men are prostate-specific-antigen screened, and 1.3 million undergo an invasive biopsy to diagnose roughly 200,000 new cases, 50% of which end up being indolent. Approximately 30,000 men die of prostate cancer (PCa)...

Imaging Intelligence: AI Is Transforming Medical Imaging Across the Imaging Spectrum.

IEEE pulse
Artificial intelligence (AI) and machine learning (ML) have influenced medicine in myriad ways, and medical imaging is at the forefront of technological transformation. Recent advances in AI/ML fields have made an impact on imaging and image analysis...

Development and Application of a System Based on Artificial Intelligence for Transcatheter Aortic Prosthesis Selection.

Brazilian journal of cardiovascular surgery
INTRODUCTION: The interest in Expert systems has increased in the medical area. Some of them are employed even for diagnosis. With the variability of transcatheter prostheses, the most appropriate choice can be complex. This scenario reveals an enabl...

Artificial intelligence in neurosciences: A clinician's perspective.

Neurology India
Even after making allowance for an unprecedented hype, it is an undeniable fact that, in the coming decade, deployment of Artificial Intelligence (AI) will cause a paradigm shift in the delivery of healthcare. This paper will review the practical uti...

Can AI Truly Transform Health Care?: A Recent IEEE Pulse on Stage Forum Offers Some Perspective.

IEEE pulse
As scholars have predicted and researchers have now shown, we are entering an age of global artificial intelligence (AI) convergence. Health care is just one area in which AI is gaining a foothold, as evidenced by two parallel conferences held in Mar...

Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography.

Studies in health technology and informatics
This paper presents a method for exploring structural risk of any artificial intelligence-based method in bioinformatics, the A-Test method. This method provides a way to not only quantitate the structural risk associated with a classification method...