Clustering by Hybrid K-Means-Based Rider Sunflower Optimization Algorithm for Medical Data by A. Jaya Mabel Rani, A. Pravin

“…Currently, medical data clustering is a very active and effective part of the research area to take proper decisions at the medical field from medical data sets. …”
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Applications, Benefits, and Risks of ChatGPT in Medical and Health Sciences Research: An Experimental Study by Yaser Mohammed Al-Worafi, Andi Hermansyah, Ching Siang Tan, Chee-Yan Choo, Abdelhakim Bouyahya, Ganesh Sritheran Paneerselvam, Kai Bin Liew, Khang Wen Goh, Long Chiau Ming

“… This article explored the potential applications, benefits, and risks of using ChatGPT in medical and health sciences research. The experimental study was performed with content analysis of the potential applications, benefits and risks of using ChatGPT in medical and health sciences research. …”
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Localized FCM Clustering with Spatial Information for Medical Image Segmentation and Bias Field Estimation by Wenchao Cui, Yi Wang, Yangyu Fan, Yan Feng, Tao Lei

“…This paper presents a novel fuzzy energy minimization method for simultaneous segmentation and bias field estimation of medical images. We first define an objective function based on a localized fuzzy c-means (FCM) clustering for the image intensities in a neighborhood around each point. …”
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Medical assistance as a decision-taking process. Pedagogical implications for the formation of the treatment hability by Luis Alberto Corona Martínez

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Prevalence of Temporomandibular Disorders Among Dental Students of College of Dentistry-Hawler Medical University. by Saeed Hameed Tutmayi, Twana Hoshyar Saleem, Sara Aswad Khoshnaw, Sana Khals Hamad, Sonya Nadir Saeed

“…Aim: The present study aims to specify the prevalence of temporomandibular joint disorder among dental students of Hawler Medical University. Method: The research conducted involved a group of 120 dental students, with an equal number of males and females from Hawler Medical University. …”
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Exploring the significance of medical humanities in shaping internship performance: insights from curriculum categories by Chao Ting Chen, Anna Y.Q. Huang, Po-Hsun Hou, Ji-Yang Lin, His-Han Chen, Shiau-Shian Huang, Stephen J. H. Yang

Subjects: “…Medical humanities…”
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Regulatory challenges in ai-based diagnostics: Legal implications of ai use in medical diagnostics by Naili Yuris Tri, Mangkunegara Iis Setiawan, Purwono, Baballe Muhammad Ahmad

“…Artificial intelligence (AI) is being used more and more in medical diagnostics, with the potential to increase operational efficiency and diagnosis accuracy. …”
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Clinicians’ user experience with health information exchange technologies during simulated medication reconciliation by Himalaya Patel, April Savoy, Steven L. Sanchez, Morgan Traylor, Khoa A. Nguyen, Kenneth S. Boockvar, Vincent S. Fan, Emily R. Locke, Bryan Gibson, Amanda S. Mixon, Susan H. Byerly, David A. Haggstrom, Teresa M. Damush, Michael Weiner, Alissa L. Russ-Jara

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Pharmacy Undergraduates’ Epistemic Cognition and Medication Beliefs as Predictors of Conceptual Learning and Academic Progress by Ilona Sodervik, Leena Hanski, Eero Laakkonen, Nina Katajavuori

“…Anti-medication beliefs hindered participants’ success in the case task and were related to weaker study progress. …”
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Digital Health Technology Interventions for Improving Medication Safety: Systematic Review of Economic Evaluations by Widya Norma Insani, Neily Zakiyah, Irma Melyani Puspitasari, Muhammad Yorga Permana, Kankan Parmikanti, Endang Rusyaman, Auliya Abdurrohim Suwantika

“…Journal of Medical Internet Research…”
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A review on surface modification of nanofibrous textiles for diverse applications: Focus on medical uses by Rasool Shabanloo, Majid Montazer, Ali Farahani, Nesa Karimi

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Applying principles of adult learning to rural health electives in a medical school curriculum by Lachlan Van Schaik, Tamekha Develyn, Kait Kelly, Anousha Yazdabadi, Cate Scarff, William Harvey, Julian Wright

“…BMC Medical Education…”
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Antiseizure medication prescribing in people with Dravet syndrome: An analysis of real‐time administrative data by Kevin Y. Xu, Binx Yezhe Lin, M. Scott Perry, Fábio A. Nascimento

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A SOFTWARE SOLUTION FOR REAL-TIME COLLECTION AND PROCESSING OF MEDICAL DATA FOR EPILEPSY PATIENTS by Andrii Kopp, Iryna Liutenko, Viktor Yamburenko, Andrii Pashniev

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Predictors of Medication Adherence in Pediatric Inflammatory Bowel Disease Patients at the Stollery Children’s Hospital by L Kitney, JM Turner, D Spady, B Malik, W El-Matary, R Persad, HQ Huynh

“…BACKGROUND: Patients with inflammatory bowel disease (IBD) often do not take their medications as prescribed.…”
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Patient education tools for chronic pain medications, AI versus traditional PILs – Clarifications by Prakash Gondode, Sakshi Duggal, Neha Garg, Surendar Sethupathy, Omshubham Asai, Pooja Lohakare

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Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

Subjects: “…Medical visual question answering…”
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Person-based design and evaluation of MIA, a digital medical interview assistant for radiology by Kerstin Denecke, Daniel Reichenpfader, Dominic Willi, Karin Kennel, Harald Bonel, Harald Bonel, Knud Nairz, Nikola Cihoric, Damien Papaux, Hendrik von Tengg-Kobligk

Subjects: “…medical history taking…”
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Uniqueness and Nonuniqueness in Inverse Problems for Elliptic Partial Differential Equations and Related Medical Imaging by Kiwoon Kwon

“…The inverse problems include medical imaging problems including electrical impedance tomography (EIT), diffuse optical tomography (DOT), and inverse scattering problem (ISP) which is an elliptic inverse problem closely related with DOT and EIT. …”
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Management of forearm ganglion: a comparative study from a medical college hospital by Yaqoob Hassan, Ajaz A. Rather, Irshad Ahmad, Ishfaq A. Wani

“…Al-Azhar Assiut Medical Journal…”
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