Titlebook: Applications of Medical Artificial Intelligence; Second International Shandong Wu,Behrouz Shabestari,Lei Xing Conference proceedings 2024 T

Horizon

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Curmudgeon

,More Than Meets the?Eye: Physicians’ Visual Attention in?the?Operating Room,iologists’ visual attention (VA) is crucial. Moreover, the distribution of said VA and the acquisition of specific cues might directly impact patient outcomes..Recent research utilizes portable, head-mounted eye-tracking devices to gather precise and comprehensive information. Nevertheless, these te

antedate

,CNNs vs. Transformers: Performance and?Robustness in?Endoscopic Image Analysis, which pose requirements on the performance, robustness and complexity of computer-based analysis techniques. This paper poses the question whether Transformer-based architectures, which are capable to directly capture global contextual information, can handle the aforementioned endoscopic condition

火光在搖曳

Investigating the Impact of Image Quality on Endoscopic AI Model Performance, heterogeneous. Endoscopic image quality can degrade by e.g. poor lighting, motion blur, and image compression. This disparity between training, validation data, and real-world clinical practice can have a substantial impact on the performance of deep neural networks (DNNs), potentially resulting in

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Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection,pproach allows to benefit from both voxel-based and box-based predictions, thus improving the ability to accurately detect lesions. The method consists of 3 main steps: (i) semantic segmentation and object detection models are trained separately; (ii) voxel-based and box-based predictions are matche

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Keshan-disease

,Video-Based Gait Analysis for?Assessing Alzheimer’s Disease and?Dementia with?Lewy Bodies,nificant role in clinical assessments to discriminate these neurological disorders from healthy controls, to grade disease severity, and to further differentiate dementia subtypes. In this paper, we propose a deep-learning based model specifically designed to evaluate gait impairment score for asses