Table 1_Development and validation of interpretable machine learning models for postoperative pneumonia prediction.docx حسب Bingbing Xiang (17198547)

"…</p>Objective<p>Our study aims to develop and validate a predictive model for POP in surgical patients using nine machine learning algorithms. By evaluating the performance differences among these machine learning models, this study aims to assist clinicians in early prediction and diagnosis of POP, providing optimal interventions and treatments.…"

Table 1_Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches.docx حسب Wenjie Han (1812673)

"…Among eight machine learning algorithms evaluated, the optimal model was selected to construct a predictive framework for immunotherapy response.…"

Image 1_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif حسب Xiaobing Li (291454)

"…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. …"

Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif حسب Xiaobing Li (291454)

"…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. …"

Portable Library for Homomorphic Encrypted Machine Learning on FPGA Accelerated Cloud Cyberinfrastructure حسب Zhihan Xu (17049357)

"…This project will leverage our novel algorithmic, architectural, and memory optimizations on FPGAs to develop a portable library to enable secure and trustworthy ML inference. …"

A large open access dataset of transillumination imaging toward realization the optical computed tomography حسب To Ni Phan Van (20072530)

"…Artificial intelligence algorithms have gained prominence for enhancing transillumination images and addressing challenges such as scattering suppression, depth estimation, and three-dimensional structure reconstruction. …"

Data Sheet 1_Multidisciplinary Canadian consensus on the multimodal management of high-risk and radioactive iodine-refractory thyroid carcinoma.docx حسب Shereen Ezzat (192903)

"…We distinguish differentiated thyroid cancers associated with more aggressive behavior from thyroid cancers manifesting as poorly differentiated and/or anaplastic carcinomas. Treatment algorithms based on risk-benefit assessments of different multimodal therapy approaches are also discussed. …"

Context tree classification and clustering حسب Adriano Zanin Zambom (20448557)

"…The browsing behaviours of users from different countries can be leveraged for optimizing targeted marketing strategies and the constructed VLMCs are used to rank weblinks of the website based on the stationary distributions of the VLMCs.…"

Data Sheet 1_Assisting human annotation of marine images with foundation models.pdf حسب Eric C. Orenstein (21776879)

"…<p>Marine scientists have been leveraging supervised machine learning algorithms to analyze image and video data for nearly two decades. …"

Supplementary file 2_Educators’ reflections on AI-automated feedback in higher education: a structured integrative review of potentials, pitfalls, and ethical dimensions.docx حسب Latifah Hamdan Alghamdi (22611518)

"…Research indicates that AI can enhance customization, deliver immediate feedback, optimize repetitive processes, and increase student engagement. …"

Supplementary file 1_Educators’ reflections on AI-automated feedback in higher education: a structured integrative review of potentials, pitfalls, and ethical dimensions.docx حسب Latifah Hamdan Alghamdi (22611518)

"…Research indicates that AI can enhance customization, deliver immediate feedback, optimize repetitive processes, and increase student engagement. …"

A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data حسب Mario Beraha (11669142)

"…Departing from traditional algorithmic approaches, recent works have proposed Bayesian nonparametric (BNP) methods that can provide more informative frequency estimates by leveraging modeling assumptions about the distribution of the sketched data. …"

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patient حسب Zhuang Wang (22542833)

"…Thus, constructing EEG datasets under MI paradigms is crucial for optimizing MI-BCI systems and understanding the neural rehabilitation process. …"

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

"…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …"

Data Sheet 1_Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring.pdf حسب Changchun Lu (21710069)

"…Traditional methods, which primarily rely on rule-based algorithms or handcrafted feature extraction, face significant challenges in adaptability, scalability, and real-time processing. …"

Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study حسب Bohan Li (4869760)

"…The study evaluated two image-deep-learning algorithms’ effectiveness in predicting pregnancy within one year, using AUCs and decision curve analysis. …"

Data Sheet 1_Machine learning models integrating intracranial artery calcification to predict outcomes of mechanical thrombectomy.pdf حسب Guangzong Li (16696443)

"…Eleven ML algorithms were trained and validated using Python, and external validation and performance evaluations were conducted. …"

<b>NanoNeuroBot: Beyond Healing, Toward Human Connection</b> حسب ahmed hossam (21420446)

"…</p><p dir="ltr">2.NeuroStimAI is a wearable bioelectric patch that applies transcutaneous spinal stimulation (TSS) based on real-time muscle activity. It uses a flexible electrode array, EMG signal sensors, and a smart AI app (built on TensorFlow and Flutter) to optimize stimulation patterns. …"

Data Sheet 1_A novel lactylation-related gene signature to predict prognosis and treatment response in lung adenocarcinoma.docx حسب Hongyi Zhang (431841)

"…Additionally, various algorithms were used to explore the relationship between the risk score and immune infiltration levels, with model genes analyzed based on single-cell sequencing. …"

Table 1_Identification of routine blood derived hematological and lipid indices in ILD through machine learning; a retrospective case-control study.docx حسب Lichen Zhu (22399222)

"…Future studies will focus on further optimizing the model and validating it in larger multicenter cohorts.…"