AIMC Topic: Artificial Intelligence

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Deep Learning for Cardiovascular Imaging: A Review.

JAMA cardiology
IMPORTANCE: Artificial intelligence (AI), driven by advances in deep learning (DL), has the potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its infancy, research is accelerating to aid in the acquisition, ...

The Evolution of Conformity, Malleability, and Influence in Simulated Online Agents.

Artificial life
The prevalence of artificial intelligence (AI) tools that filter the information given to internet users, such as recommender systems and diverse personalizers, may be creating troubling long-term side effects to the obvious short-term conveniences. ...

Does the Field of Nature-Inspired Computing Contribute to Achieving Lifelike Features?

Artificial life
The main idea behind artificial intelligence was simple: what if we study living systems to develop new, practical computing systems that possess "lifelike" properties? And that's exactly how evolutionary computing emerged. Researchers came up with i...

Artificial Collective Intelligence Engineering: A Survey of Concepts and Perspectives.

Artificial life
Collectiveness is an important property of many systems-both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smartest individuals or even to produ...

Applications of artificial intelligence and machine learning in dynamic pathway engineering.

Biochemical Society transactions
Dynamic pathway engineering aims to build metabolic production systems embedded with intracellular control mechanisms for improved performance. These control systems enable host cells to self-regulate the temporal activity of a production pathway in ...

COVID-19 studies involving machine learning methods: A bibliometric study.

Medicine
BACKGROUND: Machine learning (ML) and artificial intelligence (AI) techniques are gaining popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These strategies can be used in diagnosis, prognosis, therapy, and public hea...

Multi-modality imaging in aortic stenosis: an EACVI clinical consensus document.

European heart journal. Cardiovascular Imaging
In this EACVI clinical scientific update, we will explore the current use of multi-modality imaging in the diagnosis, risk stratification, and follow-up of patients with aortic stenosis, with a particular focus on recent developments and future direc...

dm-GAN: Distributed multi-latent code inversion enhanced GAN for fast and accurate breast X-ray image automatic generation.

Mathematical biosciences and engineering : MBE
Breast cancer seriously threatens women's physical and mental health. Mammography is one of the most effective methods for breast cancer diagnosis via artificial intelligence algorithms to identify diverse breast masses. The popular intelligent diagn...