Results 211 to 220 of about 65,616 (327)

Prospective Respiratory Motion Correction Using Machine Learning and Pilot Tone (PROMPT) in Cardiac MRI

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 3, Page 1583-1595, March 2026.
ABSTRACT Purpose To implement and evaluate the feasibility of a Pilot Tone (PT)‐based prospective gating and tracking technique, which uses a long short‐term memory (LSTM) neural network to predict respiratory motion from PT signals. Methods A subject‐specific calibration scan consisting of 100 ECG‐triggered single‐shot images was performed ...
Yue Pan   +9 more
wiley   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool   +7 more
wiley   +1 more source

Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms

open access: yesAdvanced Materials, Volume 38, Issue 9, 12 February 2026.
This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun   +4 more
wiley   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

open access: yesAdvanced Materials, Volume 38, Issue 9, 12 February 2026.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng   +9 more
wiley   +1 more source

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