Results 111 to 120 of about 44,389 (247)

Machine learning versus traditional formulas for fetal weight estimation: An international multicenter study evaluating prediction accuracy across birth weight percentiles

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To assess whether machine learning (ML) offers improved birth weight prediction accuracy, since despite numerous models, the Hadlock formula remains the clinical standard. Methods A multicenter retrospective study analyzed data from 9674 singleton pregnancies with estimated fetal weight (EFW) within 7 days of delivery.
Omer Dor, Eran Ashwal, May Cohen, Ori Rottenstreich, Yariv Yogev, Noam Shomron, Misgav Rottenstreich   +6 more
wiley   +1 more source

Medical students' perceptions of AI-based feedback and feedforward on communication skills in doctor-patient consultation - an acceptance study in a video-based simulation. [PDF]

Med Educ Online
Bauermann M, Rotthoff T, Hallmen T, Kunz M, André E, Schindler AK.   +5 more
europepmc   +1 more source

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

InfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim, Shao‐Xiang Go, Qiang Wang, Dong‐Gwan Kim, Chan‐Hwi Baek, Qishen Wang, Tae Hoon Lee, Desmond K. Loke   +7 more
wiley   +1 more source

Application of key link nursing based on feedforward control theory in the emergency rescue of multiple trauma patients. [PDF]

Front Public Health
Huang Y, Yin F, Ni Y, Zhang Y, Dai C.
europepmc   +1 more source

General‐Purpose Hexagonal Programmable Photonic Integrated Circuit with a >30 GHz Free Spectral Range

Laser &Photonics Reviews, EarlyView.
A compact and low insertion loss programmable photonic circuit is demonstrated based on a 7‐cell hexagonal waveguide mesh with a large free spectral range (FSR) of 31 GHz for a 6‐gate ring resonator configuration. Vernier rings and a dual‐injected ring configuration are demonstrated on this circuit with a further improved FSR of 93 GHz.
Yu Zhang, Xiangfeng Chen, Lukas Van Iseghem, Iman Zand, Hasan Salmanian, Antonio Ribeiro, Wim Bogaerts   +6 more
wiley   +1 more source

Conditions for replay of neuronal assemblies. [PDF]

PLoS Comput Biol
Cano G, Kempter R.
europepmc   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Separating feedforward and feedback dynamics using time-frequency resolved connectivity: A hybrid model of left ventral occipitotemporal cortex in word reading. [PDF]

Imaging Neurosci (Camb)
You J, Hauk O, Salmelin R, van Vliet M.
europepmc   +1 more source

Prediction of the Mechanical Properties of the Additive Friction Stir‐Deposited Al2219 Using Machine Learning

Materials Genome Engineering Advances, EarlyView.
In this work, three prediction machine learning (ML) models (MLP, RBF, BP) are developed to predict the ultimate tensile strength (UTS) and elongation (EL) of the AFSDed Al2219 samples. ABSTRACT Additive friction stir deposition (AFSD) is an effective method for fabricating high‐performance deposits, with process parameters directly influencing the ...
Chan Wa Tam, Qian Qiao, Xiaowei Chen, Wai I Lam, Xiumei Gong, Yongyong Lin, Hongchang Qian, Dawei Guo, Dawei Zhang, Chi Tat Kwok, Lap Mou Tam   +10 more
wiley   +1 more source

Modulatory feedback determines attentional object segmentation in a model of the ventral stream. [PDF]

PLoS One
Papale P, Williford JR, Balk S, Roelfsema PR.   +3 more
europepmc   +1 more source