Prediction of solid pseudopapillary tumor invasiveness of the pancreas based on multiphase contrast-enhanced CT radiomics nomogram by Dabin Ren, Liqiu Liu, Aiyun Sun, Yuguo Wei, Tingfan Wu, Yongtao Wang, Xiaxia He, Zishan Liu, Jie Zhu, Guoyu Wang

Get full text

Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder by Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah, Ghulam Mustafa

Get full text

A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images by Sahar Faraji, Bita Abbasi, Amin Amiri Tehranizadeh, Zeinab Naseri, Lida Jarahi, Fatemeh Khojasteh Rahimi, shahrokh Nasseri, Azadeh Hashemi

Get full text

Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

“…Patients were stratified into colon and rectal cancer groups to account for biological and prognostic differences. Three models were developed and compared: a conventional artificial neural network (ANN), a basic convolutional neural network (CNN), and a transfer learning–based Visual Geometry Group (VGG)16 model. …”
Get full text

Face Spoofing Detection with Stacking Ensembles in Work Time Registration System by Rafał Klinowski, Mirosław Kordos

Get full text

Explainable Artificial Intelligence Driven Segmentation for Cervical Cancer Screening by Niruthikka Sritharan, Nishaanthini Gnanavel, Prathushan Inparaj, Dulani Meedeniya, Pratheepan Yogarajah

Get full text

Advanced machine learning techniques reveal multidimensional EEG abnormalities in children with ADHD: a framework for automatic diagnosis by Ying Mao, Ying Mao, Xuchen Qi, Xuchen Qi, Xuchen Qi, Lingyan He, Shan Wang, Zhaowei Wang, Fang Wang, Fang Wang

Get full text

Identifying Changes and Their Drivers in Paddy Fields of Northeast China: Past and Future by Xuhua Hu, Yang Xu, Peng Huang, Dan Yuan, Changhong Song, Yingtao Wang, Yuanlai Cui, Yufeng Luo

“…The findings revealed that the kappa coefficients of land use classification from 2000 to 2020 reached 0.761–0.825, with an overall accuracy of 80.5–87.3%. …”
Get full text

Radiomics analysis based on T2-weighed imaging and T2 mapping for staging endometrial fibrosis by Huanhuan Liang, Huanhuan Wang, Yucan Chen, Kaibo Sun, Nan Zhou, Hui Zhu, Peipei Jiang, Ke Ma, Kefeng Zhou, Yali Hu, Zhengyang Zhou

“…Radiomic features were extracted from the volume of interest of endometrium on T2WI images and T2 maps to generate three models: T2WI, T2 mapping, and both T2WI and T2 mapping (merged). …”
Get full text

Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection by Ahmed Alzahrani, Muhammad Ali Raza, Muhammad Zubair Asghar

“…However, traditional AI models frequently conceal their decision-making processes and are mainly tailored for classification tasks. …”
Get full text

BoneCLIP-XGBoost: A Multimodal Approach for Bone Fracture Diagnosis by Zhihao Su, Yuhuai Zhou, Jianqun Zhou, Hanhua Cao, Huanping Zhang

“…Our ablation study highlights the model’s exceptional performance, demonstrating an accuracy of 88.5%, precision of 87.3%, recall of 86.8%, and an F1 score of 87.0% when both image and text data are utilized. …”
Get full text

Nomogram establishment for short-term survival prediction in ICU patients with aplastic anemia based on the MIMIC-IV database by Yan Tu, Jingcheng Zhang, Mingzhe Zhao, Fang He

“…Objective To establish an efficient nomogram model to predict short-term survival in ICU patients with aplastic anemia (AA).Methods The data of AA patients in the MIMIC-IV database were obtained and randomly assigned to the training set and testing set in a ratio of 7:3. …”
Get full text

State Financial Support Measures and Risk Factors Affecting the Cost of Investment Projects for the Introduction of Industrial Robotic Complex by O. V. Borisova, S. R. Dreving, O. V. Loseva, M. A. Fedotova

Get full text

A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events by Muhammad Salman Pathan, Pardhu Nadella, Yasin Ul Haq, Soumini Chaudhury, Jiantao Wu, Avishek Nag, Soumyabrata Dev

“…As a result, this method improves understanding of meteorological conditions, which act as accurate forecasters of rainfall outcomes and can help to develop accurate decision-support systems. The study also conducts a thorough assessment of prediction performance of various ML and deep learning (DL) techniques such as Classification and Regression Trees (CART), Support Vector Machine (SVM) and Dense Neural Networks (DNN).The findings show that the models using only the important meteorological features in the dataset perform better than using all the features. …”
Get full text

Exploring and Predicting HIV Preexposure Prophylaxis Adherence Patterns Among Men Who Have Sex With Men: Randomized Controlled Longitudinal Study of an mHealth Intervention in West... by Bing Lin, Jiayan Li, Jiaxiu Liu, Wei He, Haiying Pan, Xiaoni Zhong

“…After 10-fold cross-validation, the final prediction model had an accuracy of 75%, and the classification accuracy of low and intermediate adherence was 78.12%. …”
Get full text

From Science to Sovereignty: Indigenizing Western Scientific Approaches for Culturally Appropriate Wildfire Recovery by Virginia Oeggerli, Jennifer Grenz

Get full text

A comprehensive approach to Queue Waiting Time Prediction using Tree-Based Ensembles with Data Balancing and Explainable AI by Tapodhir Karmakar Taton, Bipin Saha, Md. Johirul Islam, Shaikh Khaled Mostaque

Get full text

Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

Get full text

MRI-based quantification of intratumoral heterogeneity for intrahepatic mass-forming cholangiocarcinoma grading: a multicenter study by Liyong Zhuo, Wenjing Chen, Lihong Xing, Xiaomeng Li, Zijun Song, Jinghui Dong, Yanyan Zhang, Hongjun Li, Jingjing Cui, Yuxiao Han, Jiawei Hao, Jianing Wang, Xiaoping Yin, Caiying Li

Get full text

An explainable RoBERTa approach to analyzing panic and anxiety sentiment in oral health education YouTube comments by Pradeep Kumar Yadalam, Mohamed Thaha, Prabhu Manickam Natarajan, Carlos M. Ardila

Get full text