Validation of a deep learning–based AI system for HER2-targeted breast cancer assessment using ultrasound imaging in a clinical setting by Kathryn Malherbe

“…BackgroundThis study evaluates the performance of a deep learning–based artificial intelligence (AI) system developed under the Stradexa (a branded form of doxorubicin used regionally in South Africa) initiative, designed for real-time risk stratification and treatment monitoring in HER2-positive breast cancer. …”
Get full text

The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Methods: This research utilizes canopy image data acquired from the 2023–2024 rice full-cycle multi-view RGB imaging system (with dual front and side camera positions). …”
Get full text

SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI by Ami Tsuchida, Martin Goubet, Philippe Boutinaud, Iana Astafeva, Victor Nozais, Pierre-Yves Hervé, Thomas Tourdias, Stéphanie Debette, Marc Joliot

“…An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL). …”
Get full text

An retrospective study on the effects of deep learning model-based optimization emergency nursing on treatment compliance and curative effect of patients with acute left heart fail... by Qian Dai, Jing Huang, Hui Huang, Lin Song

Get full text

Data augmentation based on the WGAN-GP with data block to enhance the prediction of genes associated with RNA methylation pathways by Tuo Jiang, Cong Shen, Pingjian Ding, Lingyun Luo

Get full text

Weibo public opinion analysis of emergencies using lexicon-based and deep learning approaches: a case study of the 12.18 Jishishan Seismic Event by Yaohui Liu, Xinyu Zhang, Xinkai Wang, Jian Cui, Fei Su

Get full text

Family History of Hypertension Predicts Thyroid Cancer Risk in Women: A Population‐Based Cross‐Sectional Study With Integrative Machine Learning and Genomic Analyses by Zijin Wang, Yanhui Lin, Fanke Meng, Yuxin Sun, Ziran Zhang, Tong Wu, Min Fu, Fanye Wu, Zhengran Li, Zejun Chen

Get full text

Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

“…ObjectiveThis study aimed to develop a machine learning model using 24 routine blood parameters to predict influenza A and B infections and validate a deployable diagnostic tool for low-resource clinical settings. …”
Get full text

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study by Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

“…Traditional diagnostic tools are often limited, and machine learning techniques offer promising solutions for predicting adverse outcomes in patients with sepsis. …”
Get full text

Versatile kinematics-based constraint identification applied to robot task reproduction by Alex H. G. Overbeek, Douwe Dresscher, Herman van der Kooij, Mark Vlutters

Get full text

Bolt Loosening and Preload Loss Detection Technology Based on Machine Vision by Zhiqiang Shang, Xi Qin, Zejun Zhang, Hongtao Jiang

“…This study proposes a high-precision bolt key point positioning and recognition method based on deep learning to address the high cost, low efficiency, and poor safety of current bolt loosening identification methods. …”
Get full text

Bayesian Optimized GridDehazeNet for Adaptive Haze Removal in Real-World Applications by Sungkwan Youm

Get full text

Determination of Pear Cultivars (Pyrus communis L.) Based on Colour Change Levels by Using Data Mining by Dilara Gerdan, Abdullah Beyaz, Mustafa Vatandaş

Get full text

How employees can break out of their learning comfort zone in green innovation scenarios: a nudging experiment based on the pressures of sustainable development in China by Shuming Li, Chuanxi Yang, Guangyu Zhai

“…Designing and implementing effective nudging strategies to push employees out of their comfort zones and actively learning green knowledge can bridge the research gap based on the expectancy theory. …”
Get full text

IMPLEMENTING EDUCATIONAL DIGITAL GAMES INTO TEACHER-TRAINING PRO- GRAMMES: A CASE-STUDY BASED ON GERMAN EXPERIENCE by Amélia Lopes, Anasatasiia Tokarieva, Іnna Chyzhykova

“…The work is also based on a constructivist theory of learning that emphasises how games generate meaning and reflect broader social and cultural discourses and a participatory seminar organisation, based on the reflective exploration of games. …”
Get full text

Perceptions of supervision and feedback in PaedCompenda, the competency-based, post-graduate curriculum in pediatrics (www.paedcompenda.de) by Somm, Irene, Hajart, Marco, Fehr, Folkert, Weiß-Becker, Christoph

“…This paper investigates the different perceptions of the physicians undergoing specialist training () and elucidates these differences.Method: The following data were collected as part of the research on the three-year-long implementation (2019-2023):1) Four focus group discussions (N=28) with physician trainees who had no experience in primary care pediatrics or with the post-graduate curriculum;2) Problem-oriented interviews, one at the beginning and again at the end, with physician trainees (N=28) undergoing specialist training at 19 participating medical practices belonging to two post-graduate education networks;3) Videos of patient consultations with the physician trainees (N=23);4) Videos of feedback conferences regarding the videotaped patient consultations (N=7).This data was evaluated using reconstructive grounded theory.Results: A distinctly more positive perception of the benefits of supervision and feedback as a teaching and learning method was seen in the physicians who received specialist training at the practices following the PaedCompenda curriculum. …”
Get full text

Buoyant Flow and Thermal Analysis in a Nanofluid-Filled Cylindrical Porous Annulus with a Circular Baffle: A Computational and Machine Learning-Based Approach by Pushpa Gowda, Sankar Mani, Ahmad Salah, Sebastian A. Altmeyer

“…An implicit finite difference methodology by considering time-splitting methods for transient equations and relaxation-based techniques is chosen for the steady-state model equations. …”
Get full text

Healthcare staff acceptance and satisfaction with automated medication dispensing cabinets: a neural network-based analysis by Abbas Al Mutair, Kawther Taleb, Kawthar Alsaleh, Chandni Saha, Batool Mohammed Alhassan, Mohamed Alsalim, Horia Alduriahem, Adel Alfehaid, Muhammad Daniyal

Get full text

Teaching opportunities for anamnesis interviews through AI based teaching role plays: a survey with online learning students from health study programs by Katharina Rädel-Ablass, Klaus Schliz, Cornelia Schlick, Benjamin Meindl, Sandra Pahr-Hosbach, Hanna Schwendemann, Stephanie Rupp, Marion Roddewig, Claudia Miersch

“…Abstract Background This study presents a novel approach to educational role-playing through an AI-based bot, leveraging GPT-4 to simulate anamnesis interviews in various learning scenarios. …”
Get full text

A network-based approach to discover diagnostic metabolite markers associated with depressive features for major depressive disorder by Yuzhen Zheng, Duan Zeng, Ying Tian, Siyuan Li, Shen He, Huafang Li, Huafang Li, Huafang Li

“…Diagnostic models were developed based on the identified hub metabolites, using six supervised machine-learning algorithms. …”
Get full text