Suchergebnisse - "artificial Intelligence"

Development of a patients' satisfaction analysis system using machine learning and lexicon-based methods von Shiva Khaleghparast, Majid Maleki, Ghasem Hajianfar, Esmaeil Soumari, Mehrdad Oveisi, Hassan Maleki Golandouz, Feridoun Noohi, Maziar Gholampour dehaki, Reza Golpira, Saeideh Mazloomzadeh, Maedeh Arabian, Samira Kalayinia

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تحسين عملية التعرف على إشارات المرور باستخدام التعلم العميق باعتماد على شبكة SqueezeNet von ماجدولين عبد المجيد حسين

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Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study von Usha Lokala, Francois Lamy, Raminta Daniulaityte, Manas Gaur, Amelie Gyrard, Krishnaprasad Thirunarayan, Ugur Kursuncu, Amit Sheth

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An omni-channel, outcomes-focused approach to scale digital health interventions in resource-limited populations: a case study von Aditi Hazra-Ganju, Schenelle Dayna Dlima, Sonia Rebecca Menezes, Aakash Ganju, Anjali Mer

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Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technolog... von Julius Dingel, Anne-Kathrin Kleine, Julia Cecil, Anna Leonie Sigl, Eva Lermer, Susanne Gaube

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Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals von Avishek Choudhury, Zaira Chaudhry

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Application of machine learning to predict aneuploidy and mosaicism in embryos from in vitro fertilization cyclesAJOG Global Reports at a Glance von José A. Ortiz, PhD, Ruth Morales, PhD, Belén Lledó, PhD, Juan A. Vicente, PhD, Julio González, PhD, Eva M. García-Hernández, PhD, Alba Cascales, MSc, Jorge Ten, PhD, Andrea Bernabeu, PhD, MD, Rafael Bernabeu, PhD, MD

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Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study von Hyung Min Kim, Hyoeun Kang, Chaeyoon Lee, Jong Hyuk Park, Mi Kyung Chung, Miran Kim, Na Young Kim, Hye Jun Lee

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Mastering the Art of Penalty Kick Defence: An Exploratory Study on the Key Factors Influencing Goalkeepers' Success von Daniel Annes, Alexandre Aleixo, Jorge Mendes, Francisco Chaves, Paulo Ferreira, Luis Bragança

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An Accurate Deep Learning-Based System for Automatic Pill Identification: Model Development and Validation von Junyeong Heo, Youjin Kang, SangKeun Lee, Dong-Hwa Jeong, Kang-Min Kim

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Evaluation of chest X-ray with automated interpretation algorithms for mass tuberculosis screening in prisons: a cross-sectional studyResearch in context von Thiego Ramon Soares, Roberto Dias de Oliveira, Yiran E. Liu, Andrea da Silva Santos, Paulo Cesar Pereira dos Santos, Luma Ravena Soares Monte, Lissandra Maia de Oliveira, Chang Min Park, Eui Jin Hwang, Jason R. Andrews, Julio Croda

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A novel integrated molecular and serological analysis method to predict new cases of leprosy amongst household contacts. von Rafael Silva Gama, Márcio Luís Moreira de Souza, Euzenir Nunes Sarno, Milton Ozório de Moraes, Aline Gonçalves, Mariane M A Stefani, Raúl Marcel González Garcia, Lucia Alves de Oliveira Fraga

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Developing an LMS-Based Cross-Platform Web Application for Improving Vocational High School Students' Competitiveness in ASEAN Economic Community von Hary Suswanto, Ahmad Mursyidun Nidhom, Andika Bagus Nur Rahma Putra, Jehad A.H. Hammad

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Analyzing predictive approaches in martial arts research von Yrui Tropin, Leonid Podrigalo, Natalya Boychenko, Olha Podrihalo, Oleksandr Volodchenko, Denis Volskyi, Mariia Roztorhui

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Predicting hospital length of stay using machine learning on a large open health dataset von Raunak Jain, Mrityunjai Singh, A. Ravishankar Rao, Rahul Garg

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Microcomputed tomography as a diagnostic tool for detection of lymph node metastasis in non-small cell lung cancer: A decision-support approach for pathological examination "A pilo... von Ayten Kayı Cangır, Süleyman Gökalp Güneş, Kaan Orhan, Hilal Özakıncı, Yusuf Kahya, Duru Karasoy, Serpil Dizbay Sak

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The Role of AI in Serious Games and Gamification for Health: Scoping Review von Daniel Tolks, Johannes Jeremy Schmidt, Sebastian Kuhn

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Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video von Zhengliang Xia, Bradley M. Cornish, Daniel Devaprakash, Rod S. Barrett, David G. Lloyd, Andrea H. Hams, Claudio Pizzolato

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AI Quality Standards in Health Care: Rapid Umbrella Review von Craig E Kuziemsky, Dillon Chrimes, Simon Minshall, Michael Mannerow, Francis Lau

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Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Process... von Izquierdo, Jose Luis, Ancochea, Julio, Soriano, Joan B

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