Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

“…Deep learning algorithms learn by processing the data with increasing levels of abstraction in each layer. …”
Get full text

A new representation in genetic programming with hybrid feature ranking criterion for high-dimensional feature selection by Jiayi Li, Fan Zhang, Jianbin Ma

“…Abstract Feature selection is a common method for improving classification performance. Selecting features for high-dimensional data is challenging due to the large search space. …”
Get full text

The Relationship Between Stiff Knee Gait Runner’s Dystonia and Musculoskeletal Knee Pathology: A Case Series by Jared A. Stowers, Derek S. Day, Steven Jow, Sarah Heins, Euan Forrest, Yonathan M. Assefa, Paige M. Lind, Afreen Mushtaheed, Frances T. Sheehan, Katharine E. Alter

“…Treatment of RD is challenging and often confounded by significant diagnostic delays due to overlapping symptomatology with other conditions. …”
Get full text

 Who Benefits from AI? Examining Different Demographics' Fairness Perceptions across Personal, Work, and Public Life by Sejin Paik, Ekaterina Novozhilova, Kate K. Mays, James E. Katz

“…These disparities highlight the need for AI development and policy frameworks that account for demographic differences in perception to ensure equitable access and benefits across diverse populations. …”
Get full text

AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes by David B. Olawade, Navami Leena, Eghosasere Egbon, Jeniya Rai, Aysha P. E. K. Mohammed, Bankole I. Oladapo, Stergios Boussios

“…AI-driven aligners and braces are designed to apply optimal forces to teeth, reducing treatment time and discomfort. …”
Get full text

Predicting emergency department visits for non-traumatic dental-related conditions among Medicaid beneficiaries by Sung Eun Choi, Rindala Fayyad, Daniel Nolte, Christine Riedy, Sharon-Lise Normand

“…Abstract Patients who use the emergency department (ED) for non-traumatic dental-related conditions are likely to return for multiple visits, accounting for a disproportionate share of healthcare cost. …”
Get full text

Diagnosis and treatment of synthetic mid-urethral sling complications by Helen E. O’Connell, Christopher K. Harding, Gaurav Khatri, Phyllis Glanc, Eric Bautrant, Sarah Love-Jones, Karen Ward, Henry H. Yao, Ventia Hoe, Charlotte Korte, Nicolle Germano, Sanjeevan Kalavampara, Sherif Mourad, Hashim Hashim

“…Due to a retrospective design, low cohort numbers, short follow-up and inconsistent definitions, all the studies were at high risk of bias (Figure 1). …”
Get full text

Diagnostic value of leukocytosis in patients presenting to the emergency department with abdominal pain: A retrospective observational study by Erkan Boğa

“…Background: Abdominal pain is one of the most common complaints in emergency departments (EDs) and poses diagnostic challenges due to its broad differential diagnosis. …”
Get full text

A Monocyte-Driven Prognostic Model for Multiple Myeloma: Multi-Omics and Machine Learning Insights by Xie L, Gao M, Tan S, Zhou Y, Liu J, Wang L, Li X

“…Subsequently, based on 482 prognostic moDEGs, we developed and validated an optimal model, termed the Monocyte-related Gene Prognostic Signature (MGPS), by integrating 101 predictive models generated from 10 machine learning algorithms across multiple transcriptome sequencing datasets. …”
Get full text

Spatiotemporal Analysis and Anomalous Trends of Asia AOD (2001–2024): Insights from a Deep Learning Fusion Model and EOF Decomposition by Yu Ding, Wenjia Ni, Jiaxin Dong, Jie Yang, Shiyao Meng, Siwei Li

“…However, satellite-derived AOD datasets frequently suffer from missing values due to factors such as cloud cover, algorithmic limitations, and various atmospheric conditions. …”
Get full text

Real-World Safety Profile of Proton Pump Inhibitors in Infants as Reported in the FDA Adverse Event Reporting System (FAERS): Tiny Tummies, Key Decisions by Hülya Tezel Yalçın, Nadir Yalçın, Karel Allegaert

“…Integrating neonatal-specific algorithms could enhance drug safety evaluations, strengthen evidence-based decision-making, and improve risk–benefit assessments in neonates and infants.…”
Get full text

Electrophysiological changes in the acute phase after deep brain stimulation surgery by Lucia K. Feldmann, Diogo Coutinho Soriano, Jeroen Habets, Valentina D'Onofrio, Jonathan Kaplan, Varvara Mathiopoulou, Katharina Faust, Gerd-Helge Schneider, Doreen Gruber, Georg Ebersbach, Hayriye Cagnan, Andrea A. Kühn

“…Background: With the introduction of sensing-enabled deep brain stimulation devices, characterization of long-term biomarker dynamics is of growing importance for treatment optimization. …”
Get full text

Evaluating the performance of herd-specific long short-term memory models to identify automated health alerts associated with a ketosis diagnosis in early-lactation cows by N. Taechachokevivat, B. Kou, T. Zhang, M.E. Montes, J.P. Boerman, J.S. Doucette, R.C. Neves

“…ABSTRACT: The growing use of automated systems in the dairy industry generates a vast amount of cow-level data daily, creating opportunities for using these data to support real-time decision-making. …”
Get full text

Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals by Behnam Javanmardi, Rebekah L. Waikel, Tinatin Tkemaladze, Shahida Moosa, Alexander Küsshauer, Jean Tori Pantel, Minu Fardipour, Peter Krawitz, Benjamin D. Solomon, Klaus Mohnike

“…The survey was performed online and the link was disseminated via direct email, newsletters, and flyers at scientific talks and conferences. …”
Get full text

Research progress on shale gas productivity evaluation: concepts, methods and future directions by ZHU Suyang, PENG Zhen, DI Yunting, PENG Xiaolong, LIU Dongchen, GUAN Wenjie

“…The results revealed that shale gas productivity was highly stage-dependent, with substantial variations in dominant controlling factors, flow mechanisms, and flow regimes across different production stages. …”
Get full text

Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational... by Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

“…Structured data collection tables will be developed to extract the clinical characteristics of those who experience decompensation events (DEs). …”
Get full text

Advanced High Switching-Frequency Cascaded H-Bridge Multilevel Inverter Based Shunt Active Filter for PV Generation: A Case Study by Nabil Karania, Mohamad Alaaeddin Alali, Stefano Di Gennaro, Jean Pierre Barbot

“…The <inline-formula><tex-math notation="LaTeX">$p - q$</tex-math></inline-formula> current identification algorithm is adapted/modified to include a P&amp;O algorithm for MPPT detection and a developed PLL to ensure reliable operation under grid distortion conditions. …”
Get full text

Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms by Eike Petersen, Julia Sauer, Jan GraBhoff, Philipp Rostalski

“…Different algorithms perform well with respect to different performance measures. …”
Get full text

A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments by Jun Zou, Zihan Wang, Haitong Huang, Xiaohua Huang, Mingming Shi

“…The lighting system, which combines red (655–665 nm) and full-spectrum white LEDs, was optimized using a particle swarm optimization (PSO) algorithm to enhance spatial light distribution. The uniformity of photosynthetic photon flux density (PPFD) improved from 71% to 85%, and the standard deviation decreased from 75 to 15. …”
Get full text

A low-cost autonomous portable poultry egg freshness machine using majority voting-based ensemble machine learning classifiers by Jirayut Hansot, Wongsakorn Wongsaroj, Thaksin Sangsuwan, Natee Thong-un

“…This study presents that egg freshness can be determined through yolk dimension without using water to test for water displacement which has future potential as a measuring machine for the poultry industry.…”
Get full text