Revolutionizing Lung Segmentation with Machine Learning: A Critical Review of Techniques in Medical Imaging by Momina Aisha, Moazma Ijaz, Nimra Tariq, Sehar Anjum, Sidra Siddiqui, Usman Hashmi

“…Consequently, automated lung segmentation methods utilizing Machine Learning (ML) and Deep Learning (DL) have emerged as essential alternatives. …”
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A study on predicting the risk of coronary artery disease in OSAHS patients based on a four-variable screening tool potential predictive model and its correlation with the severity... by Yanli Yao, Yu Li, Yulan Chen, Xuan Qiu, Gulimire Aimaiti, Ayiguzaili Maimaitimin

“…A random forest machine learning algorithm was used to evaluate the importance of each risk factor. …”
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Impact of Chronic Intermittent Hypoxia on Cognitive Function and Hippocampal Neurons in Mice: A Study of Inflammatory and Oxidative Stress Pathways by Zhang K, Ma D, Wu Y, Xu Z

“…Further studies are needed to validate these findings in clinical settings and to explore the regulatory relationships between the key genes involved.Keywords: obstructive sleep apnea, chronic intermittent hypoxia, cognitive impairment, hippocampal neurons, RNA sequencing, oxidative stress, inflammation…”
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Learning From a Missed Diagnosis: Complete Agenesis of the Corpus Callosum With Benign Hydrocephalus by J. E. Samaranayake, S. M. Kankanamge, P. Pirakash, U. A. Liyanage, Y. Mathangasinghe, D. G. Gonsalvez, N. Gunasekera

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Managing airway emergencies on the Ward: Lessons learned from Rapid Rhino pack herniation by Alicia Wong, James Davies, Ra'ed Al-Ashqar

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Robust Drone Video Analysis for Occluded Urban Traffic Monitoring Based on Deep Learning by Carlos Gellida-Coutino, Reyes Rios-Cabrera, Alan Maldonado-Ramirez, Anand Sanchez-Orta

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Deep Learning-Based Emergency Rescue Positioning Technology Using Matching-Map Images by Juil Jeon, Myungin Ji, Jungho Lee, Kyeong-Soo Han, Youngsu Cho

“…These generated matching-map images were applied to a deep learning model, enabling highly accurate and stable location estimates even in challenging emergency rescue situations. …”
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Semantic communication aware reinforcement learning for communication fault-tolerant UAV collaborative control by ZHANG Yang, GU Hongyu, FENG Bohao, WANG Ran

“…This information was then used autonomously to predict the future flight paths of the leading UAV. By integrating the learned and predicted behavior patterns of the leader, the follower UAV was able to make informed decisions. …”
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SAR remote sensing for monitoring harmful algal blooms using deep learning models by Kritnipit Phetanan, Do Hyuck Kwon, Jinmyeong Lee, Heewon Jeong, Gibeom Nam, Euiho Hwang, JongCheol Pyo, Kyung Hwa Cho

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Optimized deep learning model for diagnosing tonsil and adenoid hypertrophy through X-rays by Zhiqing Wu, Ran Zhuo, Yali Yang, Xiaobo Liu, Bin Wu, Jian Wang

“…ObjectiveTo explore the application of a deep learning model based on lateral nasopharyngeal X-rays in diagnosing tonsillar and adenoid hypertrophy.MethodsA retrospective study was conducted using DICOM images of lateral nasopharyngeal X-rays from pediatric outpatients aged 2-12 at our hospital from July 2014 to July 2024. …”
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Real time counting method for coal mine drill pipes based on deep learning by Fukai ZHANG, Yiran SUN, Xufeng WU, Aijun LI, Peiyang LI, Dengke WANG, Guan YUAN, Shan ZHAO, Haiyan ZHANG

“…A real-time counting method for coal mine drill pipes based on deep learning technology is proposed to address the above issues. …”
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From open to robotic surgery in pediatric ureteral reimplantation: overcoming the learning curve for improved outcomes by G. Mattioli, G. Mattioli, F. Fanti, F. Fanti, M. Carlucci, S. Parodi, V. Fiorenza

“…The increasing success rate reflects the robotic learning curve and growing surgical expertise.…”
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An enhanced machine learning-based prognostic prediction model for patients with AECOPD on invasive mechanical ventilation by Yujie Fu, Yining Liu, Chuyue Zhong, Ali Asghar Heidari, Lei Liu, Sudan Yu, Huiling Chen, Peiliang Wu

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Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures by Yiqun Chen, Mingxuan Ma, Dandan Qu, Chunxiang Xu

“…To forecast the likelihood of postoperative pneumonia occurrence, both machine learning and deep learning algorithms were employed. …”
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Chronic liver disease detection using ranking and projection-based feature optimization with deep learning by Sumaiya Noor, Salman A. AlQahtani, Salman Khan

“…Early detection of liver conditions is crucial, and recent advancements in machine learning (ML) have proven highly effective in predicting diseases like chronic obstructive pulmonary disease (COPD), hypertension, and diabetes. …”
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Predictive machine learning algorithm for COPD exacerbations using a digital inhaler with integrated sensors by Michael Reich, Njira Lugogo, Laurie D Snyder, Megan L Neely, Guilherme Safioti, Randall Brown, Michael DePietro, Roy Pleasants, Thomas Li, Lena Granovsky

“…Purpose By using data obtained with digital inhalers, machine learning models have the potential to detect early signs of deterioration and predict impending exacerbations of chronic obstructive pulmonary disease (COPD) for individual patients. …”
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Erratum to ‘Model-Based Cost-Utility Analysis of Combined Low-Dose Computed Tomography Screening for Lung Cancer, Chronic Obstructive Pulmonary Disease, and Cardiovascular Disease’... by Carina M. Behr, PhD, Maarten J. IJzerman, PhD, Michelle M.A. Kip, PhD, Harry J.M. Groen, MD, PhD, Marjolein A. Heuvelmans, MD, PhD, Maarten van den Berge, MD, PhD, Pim van der Harst, MD, PhD, Marleen Vonder, PhD, Rozemarijn Vliegenthart, MD, PhD, Hendrik Koffijberg, PhD

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Nonlinear signal processing, spectral, and fractal based stridor auscultation: A machine learning approach by VIMAL RAJ, A RENJINI, M S SWAPNA, S SREEJYOTHI, S SANKARARAMAN

“…The appearance of B and C in the PSD plot of ST is due to the obstructions in the trachea and upper airways caused by lesions. …”
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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting by Abdulwhab Alkharashi, Gaganjot Kaur, Hadeel Alsolai, Hatim Dafaalla, Somia Asklany, Othman Alrusaini, Ali Alqazzaz, Menwa Alshammeri

“…Our model combines participatory learning (PL) and Kernel Recursive Least Squares (KRLS) for online learning, an Adaptive reduced rule strategy to eliminate repeating rules and gain computational efficiency. …”
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Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data by Ayesha Irfan, Yu Li, Xinhua E, Guangmin Sun

“…To address this gap, we propose a multimodal deep-learning framework that systematically integrates SAR and optical imagery. …”
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