Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…Conclusion The application of the new diagnostic framework based on AI algorithms increased the accuracy of the diagnosis compared with the traditional approach. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The model's efficacy was evaluated through its application to both large and small, differently distributed data sets. …”
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Integrating Fine-Grained Classification and Motion Relation Analysis for Face Anti-Spoofing by Ziyang Cheng, Xiafen Zhang

“…Besides, we created our own dataset PR-FASD to evaluate the model’s generalization ability, achieving good results.…”
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Intraoperative cerebral oximetry in open heart surgeries reduced postoperative complications: A retrospective study. by Norsham Juliana, Noor Anisah Abu Yazit, Suhaini Kadiman, Kamilah Muhammad Hafidz, Sahar Azmani, Nur Islami Mohd Fahmi Teng, Srijit Das

“…They were treated using a standardized algorithm to maintain rScO2 not lower than 20% of baseline rScO2. …”
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The soft computing approaches in optimising multi-objective mechanical design of a weeding robot by Afsaneh Soleimani

“…Furthermore, the maximum absolute difference between the ANN and FEM models was <6.6 %.…”
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Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning by Sijia Liu, Jiawei Luo, Chengqi He

“…Results In the application of deep reinforcement learning algorithms to treatment optimization, the BCQ algorithm achieves the highest success rate (79.1%), outperforming both DQN (68.1%) and DDPG (76.2%). …”
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Cutting guides in mandibular tumor ablation: Are we as accurate as we think? by Omar Suhaym, Loren Moles, Nicholas Callahan

“…Material and Methods: The pre and postoperative 3D models were aligned using an automated surface registration feature based on the iterative closest point algorithm. The differences in osteotomy line deviation, linear and angle measurements, and 3D volume quantification of the pre and post models were measured. …”
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A SWIN-based vision transformer for high-fidelity and high-speed imaging experiments at light sources by Songyuan Tang, Tekin Bicer, Kamel Fezzaa, Samuel Clark

“…These high data acquisition rates are often prone to noisy measurements, or in the case of slower (but less noisy) rates, the loss of scientifically significant phenomena.MethodsWe develop a Shifted Window (SWIN)-based vision transformer to reconstruct high-resolution x-ray image sequences with high fidelity and at a high frame rate and evaluate the underlying algorithmic framework on a high-performance computing (HPC) system. …”
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Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models by Mohammed Z. Damudi, Anita S. Kini

“…The original DDPM algorithm suggests an iterative sampling procedure where the model slowly reduces the noise, until we have a noise-free image. …”
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Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning models by Saeed Khorram, Nima Jehbez

“…This requires the ADPSO algorithm for parameter calibration, which elongates the computation time. …”
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Isolated Syndesmotic Fixation is Associated with Increased Risk of Arthrodesis and Arthroplasty Operations Compared to Nonoperatively Managed Syndesmotic Injury: A Propensity-Score... by Sean Sequeira MD, Heath P. Gould MD, Walter C. Hembree MD

“…Patients who underwent surgical stabilization were matched using a propensity scoring algorithm to patients who were managed nonoperatively. …”
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Synchronous Control of a Dual-Motor Driving Rack and Pinion Module for Steer-by-Wire System by Insu Chung, Sehoon Oh, Kanghyun Nam

“…The performance of synchronous control is evaluated by command tracking and synchronization between motors. …”
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Hip arthroscopy for Legg-Calvè-Perthes disease in paediatric population by Ulunay Kanatli, Tacettin Ayanoglu, Mustafa Ozer, Muhammet Baybars Ataoglu, Mehmet Cetinkaya

“…However, there was a significant difference between preoperative and postoperative mHHS (p = 0.005). …”
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Integrative multi-omics analysis and experimental validation identify molecular subtypes, prognostic signature, and CA9 as a therapeutic target in oral squamous cell carcinoma by Yun Zhao, Yun Zhao, Jing Yang, Yamei Jiang, Jingbiao Wu

“…The model’s clinical utility was assessed by evaluating immune features and immunotherapy response. …”
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Efficacy of a Waist-Mounted Sensor in Predicting Prospective Falls Among Older People Residing in Community Dwellings: A Prospective Cohort Study by Ka-Ming Lai, Kenneth N. K. Fong

“…Our findings indicate that the wearable waist-belt Sensor System may not be a sensitive tool in predicting prospective fall incidents. The algorithm for fall risk classification in the wearable sensor merits further exploration.…”
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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

“…The resulting spline-differentiation algorithm is used for mathematical modeling. …”
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A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning machine by Mustafa Ulas, Osman Altay, Turan Gurgenc, Cihan Özel

“…In this study, models have been developed by using four different machine learning algorithms (an artificial neural network (ANN), extreme learning machine (ELM), kernel-based extreme learning machine (KELM), and weighted extreme learning machine (WELM)) on the data set obtained from the wear test experiments. …”
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A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data by Barbara Cardone, Ferdinando Di Martino, Cristiano Mauriello, Vittorio Miraglia

“…This work proposes a new unsupervised method to evaluate the behavior of urban green areas in the presence of heatwave scenarios by analyzing three indices extracted from satellite data: the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST). …”
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OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

“…A total of 334 normal and 268 glaucomatous eyes (86 early, 72 moderate, 110 advanced) were included, signal processing theory was employed, and model interpretability was rigorously evaluated. Leveraging SHapley Additive exPlanations (SHAP)-based global feature ranking and partial dependency analysis (PDA) estimated decision boundary cut-offs on machine learning (ML) models, a novel algorithm was developed to implement an XAI tool. …”
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Geographic origin discrimination and quantification of phenolic compounds and moisture in Artemisia argyi folium using NIRS and chemometrics by Lifei Hu, Yifan Wang, Xin Wu, Yuanyuan Shan, Fengxiao Zhu, Fan Zhang, Qiang Yang, Mingxing Liu

“…Multivariate statistical analysis (four methods) and six machine learning algorithms were employed for origin discrimination. …”
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