A multi-dimensional student performance prediction model (MSPP): An advanced framework for accurate academic classification and analysis by V. Balachandar, K. Venkatesh

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Dynamic Graph-Based Clustering for Non-Stationary Spatio-Temporal Event Prediction by Vasavi M., Murugan A., Sharma K. Venkatesh

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Idiopathic Calcinosis Cutis over Elbow in a 12-Year Old Child by S. K. Venkatesh Gupta, Ramana Rao Balaga, Suman Kumar Banik

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Advanced Imaging Techniques for Assessing Fat, Iron, and Fibrosis in Chronic Liver Disease by Sabarish Narayanasamy, Manuela Franca, Ilkay S. Idilman, Meng Yin, Sudhakar K. Venkatesh

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Pediatric mental health visits with prolonged length of stay in community emergency departments during COVID‐19 by Alexander T. Janke, Katherine A. Nash, Pawan Goyal, Marc Auerbach, Arjun K. Venkatesh

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Systematic review of emergency medicine clinical practice guidelines: Implications for research and policy. by Arjun K Venkatesh, Dan Savage, Benjamin Sandefur, Kenneth R Bernard, Craig Rothenberg, Jeremiah D Schuur

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Correlation between Postdialysis Serum Magnesium Levels and Atherosclerosis Risk among Chronic Kidney Disease Patients: A Cross-sectional Study by M Suresh, Dhivya Manickam, N Monika, Madhav Venkatesan, K Venkatesh, Ishwarya Annamalai, P Sabari Arasu

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Development of a qualified clinical data registry for emergency medicine by Stephen K. Epstein, Richard T. Griffey, Michelle P. Lin, James J. Augustine, Pawan Goyal, Arjun K. Venkatesh

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Describing the performance of U.S. hospitals by applying big data analytics. by Nicholas S Downing, Alexander Cloninger, Arjun K Venkatesh, Angela Hsieh, Elizabeth E Drye, Ronald R Coifman, Harlan M Krumholz

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Development and testing of data infrastructure in the American College of Emergency Physicians’ Clinical Emergency Data Registry for opioid‐related research by Andrew Taylor, Jeremiah Kinsman, Kathryn Hawk, Gail D'Onofrio, Caitlin Malicki, Bill Malcom, Pawan Goyal, Arjun K. Venkatesh

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Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

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A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx by Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

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Emergency department visits among rural and urban older adults: disparities in ambulatory and emergency care sensitive conditions by Cameron J. Gettel, Courtney Kitchen, Craig Rothenberg, Yuxiao Song, Ryan Koski-Vacirca, Katherine Schaffer, Alexander T. Janke, Nicholas M. Mohr, Margaret Greenwood-Ericksen, Arjun K. Venkatesh

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Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition by Akella Subrahmanya Narasimha Raju, K. Venkatesh, B. Padmaja, CH. N. Santhosh Kumar, Pattabhi Rama Mohan Patnala, Ayodele Lasisi, Saiful Islam, Abdul Razak, Wahaj Ahmad Khan

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Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis by Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

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Pre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hos... by Michelle Schreiber, Jing Zhang, Yongfei Wang, Zhenqiu Lin, Arjun K Venkatesh, Lee A Fleisher, Elizabeth W Triche, Lisa G Suter, Doris Peter, Shu-Xia Li, Jacqueline Grady, Kerry McDowell, Erica Norton, Susannah Bernheim

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Using machine learning to predict the risk of developing hypertensive disorders of pregnancy using a contemporary nulliparous cohortAJOG Global Reports at a Glance by Jonathan S. Schor, PhD, Adesh Kadambi, BEng, Isabel Fulcher, PhD, Kartik K. Venkatesh, MD, PhD, Mark A. Clapp, MD, MPH, Senan Ebrahim, MD, PhD, Ali Ebrahim, PhD, Timothy Wen, MD, MPH

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A survey of stroke‐related capabilities among a sample of US community emergency departments by Kori S. Zachrison, Latha Ganti, Dhruv Sharma, Pawan Goyal, Marquita Decker‐Palmer, Opeolu Adeoye, Joshua N. Goldstein, Edward C. Jauch, Bruce M. Lo, Tracy E. Madsen, William Meurer, John A. Oostema, Cindy Mendez‐Hernandez, Arjun K. Venkatesh

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Effects of long COVID on healthcare utilization by Michael Gottlieb, Erica S. Spatz, Huihui Yu, Imtiaz Ebna Mannan, Michelle Santangelo, Caitlin Malicki, Nicole L. Gentile, Rachel E. Geyer, Alex Charlton, Jonathan W. Dyal, Joann G. Elmore, Kristyn Gatling, Mandy J. Hill, Juan Carlos C. Montoy, Kelli N. O’Laughlin, Kristin L. Rising, Sharon Saydah, Kari A. Stephens, Ralph C. Wang, Lauren E. Wisk, Arjun K. Venkatesh, Robert A. Weinstein

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