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A Machine Vision Perspective on Droplet-Based Microfluidics.

Adv Sci (Weinh)

January 2025

Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.

Microfluidic droplets, with their unique properties and broad applications, are essential in in chemical, biological, and materials synthesis research. Despite the flourishing studies on artificial intelligence-accelerated microfluidics, most research efforts have focused on the upstream design phase of microfluidic systems. Generating user-desired microfluidic droplets still remains laborious, inefficient, and time-consuming.

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Pattern memory cannot be completely and truly realized in deep neural networks.

Sci Rep

December 2024

School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, China.

The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. Undoubtedly, DNN-empowered AI capability is increasingly surpassing human intelligence in handling general intelligent tasks. However, the absence of DNN's interpretability and recurrent erratic behavior remain incontrovertible facts.

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Background: Integration of clinical medicine and other subjects has laid more emphasis on the cultivation of high-quality medical talents, with the increasing demand for interprofessional education (IPE). IPE has been promoted by a number of universities to create and sustain authentic IPE activities, with which students can engage. Although IPE has achieved certain results, there are still many problems.

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Introduction: Diffractive trifocal intraocular lenses (IOLs) provide good vision at distance, intermediate, and near, but can also cause positive dysphotopsias. This meta-analysis pooled published evidence on visual disturbances after bilateral implantation of the PanOptix (TFNTXX) IOL for patients undergoing cataract surgery.

Method: A systematic literature search was conducted in PubMed and congress presentations from April 2021 to December 2022 to identify studies with patient-reported outcomes on the incidence of visual disturbances (starbursts, halos, glare) post bilateral implantation of PanOptix IOL during cataract surgery.

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Purpose: We aim to assess the magnetic resonance imaging (MRI)-to-CT deformable image registration (DIR) quality of our treatment planning system in the pelvic region as the first step of an online MRI-guided particle therapy clinical workflow.

Materials And Methods: Using 2 different DIR algorithms, ANAtomically CONstrained Deformation Algorithm (ANACONDA), the DIR algorithm incorporated in RayStation, and Elastix, an open-source registration software, we retrospectively assessed the quality of the deformed CT (dCT) generation in the pelvic region for 5 patients. T1- and T2-weighted daily control MRI acquired prior to treatment delivery were used for the DIR.

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