AI Medical Compendium Topic

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On the compression of neural networks using ℓ-norm regularization and weight pruning.

Neural networks : the official journal of the International Neural Network Society
Despite the growing availability of high-capacity computational platforms, implementation complexity still has been a great concern for the real-world deployment of neural networks. This concern is not exclusively due to the huge costs of state-of-th...

A magnetic multi-layer soft robot for on-demand targeted adhesion.

Nature communications
Magnetic soft robots have shown great potential for biomedical applications due to their high shape reconfigurability, motion agility, and multi-functionality in physiological environments. Magnetic soft robots with multi-layer structures can enhance...

Tradeoff analysis between time cost and energy cost for fixed-time synchronization of discontinuous neural networks.

Neural networks : the official journal of the International Neural Network Society
This article focuses on the tradeoff analysis between time and energy costs for fixed-time synchronization (FXTS) of discontinuous neural networks (DNNs) with time-varying delays and mismatched parameters. First, a more comprehensive lemma is systema...

Human robotic surgery with intraoperative tissue identification using rapid evaporation ionisation mass spectrometry.

Scientific reports
Instantaneous, continuous, and reliable information on the molecular biology of surgical target tissue could significantly contribute to the precision, safety, and speed of the intervention. In this work, we introduced a methodology for chemical tiss...

Using AI/ML to predict blending performance and process sensitivity for Continuous Direct Compression (CDC).

International journal of pharmaceutics
Utilising three artificial intelligence (AI)/machine learning (ML) tools, this study explores the prediction of fill level in inclined linear blenders at steady state by mapping a wide range of bulk powder characteristics to processing parameters. Pr...

Programmable adhesion and morphing of protein hydrogels for underwater robots.

Nature communications
Soft robots capable of efficiently implementing tasks in fluid-immersed environments hold great promise for diverse applications. However, it remains challenging to achieve robotization that relies on dynamic underwater adhesion and morphing capabili...

Lie-Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries.

Neural networks : the official journal of the International Neural Network Society
An accurate data-based prediction of the long-term evolution of Hamiltonian systems requires a network that preserves the appropriate structure under each time step. Every Hamiltonian system contains two essential ingredients: the Poisson bracket and...

Effects of caudal fin stiffness on optimized forward swimming and turning maneuver in a robotic swimmer.

Bioinspiration & biomimetics
In animal and robot swimmers of body and caudal fin (BCF) form, hydrodynamic thrust is mainly produced by their caudal fins, the stiffness of which has profound effects on both thrust and efficiency of swimming. Caudal fin stiffness also affects the ...

High-resolution hemodynamic estimation from ultrafast ultrasound image velocimetry using a physics-informed neural network.

Physics in medicine and biology
Estimating the high-resolution (HR) blood flow velocity and pressure fields for the diagnosis and treatment of vascular diseases remains challenging.. In this study, a physics-informed neural network (PINN) with a refined mapping capability was combi...