AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Physics

Showing 101 to 110 of 143 articles

Clear Filters

Is Machine Translation a Reliable Tool for Reading German Scientific Databases and Research Articles?

Journal of chemical information and modeling
A significant number of published databases and research papers exist in foreign languages and remain untranslated to date. Important sources of primary scientific information in German are Beilstein Handbuch der Organischen Chemie, Gmelin Handbuch d...

Radiomics in radiooncology - Challenging the medical physicist.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: Noticing the fast growing translation of artificial intelligence (AI) technologies to medical image analysis this paper emphasizes the future role of the medical physicist in this evolving field. Specific challenges are addressed when implem...

Mind Games: Game Engines as an Architecture for Intuitive Physics.

Trends in cognitive sciences
We explore the hypothesis that many intuitive physical inferences are based on a mental physics engine that is analogous in many ways to the machine physics engines used in building interactive video games. We describe the key features of game physic...

Neural Representations of Physics Concepts.

Psychological science
We used functional MRI (fMRI) to assess neural representations of physics concepts (momentum, energy, etc.) in juniors, seniors, and graduate students majoring in physics or engineering. Our goal was to identify the underlying neural dimensions of th...

Complete characterization of the stability of cluster synchronization in complex dynamical networks.

Science advances
Synchronization is an important and prevalent phenomenon in natural and engineered systems. In many dynamical networks, the coupling is balanced or adjusted to admit global synchronization, a condition called Laplacian coupling. Many networks exhibit...

A self-taught artificial agent for multi-physics computational model personalization.

Medical image analysis
Personalization is the process of fitting a model to patient data, a critical step towards application of multi-physics computational models in clinical practice. Designing robust personalization algorithms is often a tedious, time-consuming, model- ...

Inference of other's internal neural models from active observation.

Bio Systems
Recently, there have been several attempts to replicate theory of mind, which explains how humans infer the mental states of other people using multiple sensory input, with artificial systems. One example of this is a robot that observes the behavior...

[Artificial intelligence-enhanced physics-based computational modeling technologies for proteins].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Computational modeling is an invaluable tool for mechanism analysis, directed engineering, and rational design of biological parts, metabolic networks, and even cellular systems. It can provide new technological solutions to address biological challe...

Unsupervised Denoising and Super-Resolution of Vascular Flow Data by Physics-Informed Machine Learning.

Journal of biomechanical engineering
We present an unsupervised deep learning method to perform flow denoising and super-resolution without high-resolution labels. We demonstrate the ability of a single model to reconstruct three-dimensional stenosis and aneurysm flows, with varying geo...