Results 151 to 160 of about 9,929 (258)

An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling Study. [PDF]

J Med Internet Res
Huet-Dastarac M, Dankar FK, Liu D, El Kababji S, Pilgram L, El Emam K.   +5 more
europepmc   +1 more source

MultiRobot Motion Planning Based on Diffusion and Time–Space Path Planning

Artificial Intelligence for Engineering, EarlyView.
This diffusion‐based framework for multirobot motion planning reuses a pretrained single‐robot Motion Planning Diffusion model, employing an alternating trajectory generation scheme guided by inter‐robot collision costs, resulting in coordinated planning without additional multi‐robot training.
Tianle Zhang, Sheng‐Jen Hsieh, Cheng Niu   +2 more
wiley   +1 more source

Fully Automated AI-Based Lymph Node Measurements in Chest CT: Accuracy and Reproducibility Compared with Multi-Reader Assessment. [PDF]

Diagnostics (Basel)
Iuga AI, Carolus H, Caldeira LL, Kottlors J, Rinneburger M, Weisthoff M, Fervers P, Rauen P, Fichter F, Goertz L, Niederau P, Siedek F, Heneweer C, Gietzen C, Pennig L, Dobrostal A, Laqua F, Woznicki P, Maintz D, Baessler B, Persigehl T.   +20 more
europepmc   +1 more source

A parallel magnetic tunnel junction-based probabilistic Ising processor for efficient quadratic optimization. [PDF]

Nat Commun
Yang S, Bao Y, Humianto E, Prabhakar A, Yang H.   +4 more
europepmc   +1 more source

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study. [PDF]

JMIR Med Inform
Huang ST, Liu LR, Tsai MF, Huang MY, Chiu HW.   +4 more
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection. [PDF]

Sci Rep
Suchý I, Turčaník M.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Guided sparse decomposition with anisotropic fusion for medical image enhancement. [PDF]

Quant Imaging Med Surg
Bian W, Gu Q, Yang Y.
europepmc   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source