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AI System for Anatomic Recognition & Lesion Detection in Nasopharyngolaryngoscopy: A Prospective Study N/A An artificial intelligence-assisted system is trained and validated by coll...
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Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
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Novel Subtypes and Treatment Strategies of Patients with Unresectable Combined Hepatocellular Cholangiocarcinoma Based on Multimodal Data N/A This study focused on exploring new comprehensive treatment strategies for ...
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Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge N/A The PI-CAI challenge aims to validate the diagnostic performance of artific...
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Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease N/A The goal of this observational study is to develop an AI-based early warnin...
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Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine
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Development of an AI-Agent for Urological Disease Diagnosis and Treatment N/A Urological diseases such as urinary stones, prostate cancer, and bladder ca...
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Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Development and Prospective Validation of an AI Model for Prognosis in ITP Patients Undergoing Coronary Revascularization N/A This study employs a dual-cohort design to develop and validate a prognosti...
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Multiple Locations
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2D Video Gait Analysis Platform Applying to AI Model for Adjustment of the Shoes' Sole N/A Artificial intelligence (AI) technology makes gait analysis based on two-di...
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Enrolling By Invitation
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China Medical University, Department of Physical Therapy
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Data Collection Protocol for the Development of CHLOE-OQ, an AI Model for Assessing Oocytes Quality. N/A This data collection protocol is aimed to allow the reliable and robust dev...
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The World Egg and Sperm Bank
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AI-Based Dysphagia Rehabilitation Program: Development and Validation NA The goal of this clinical study is to learn if an artificial intelligence (...
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Multiple Locations
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Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs NA The aim of this study is to develop and evaluate an artificial intelligence...
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Multiple Locations
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