Abstract: This work presents an AI-driven language learning system that combines immersive VR technology and gamification to explore alternative approaches in language education. Developed for ...

APHE, PDPH, and other extracted radiological features were used to design a computer-aided liver cancer diagnosis framework by random forest. Results: The BERT-BiLSTM-CRF predicted the phrases of APHE ...

Objectives It remains unclear whether computer-assisted instruction (CAI) is more effective than other teaching methods in acquiring and retaining ECG competence among medical students and residents.

This study examines the integration of peer-assisted learning (PAL) and virtual reality (VR) gaming in health professions education, focusing on an occupational therapy program in Norway. While PAL is ...

cInstitute of Gastroenterology and Liver Diseases, Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel dHadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Institute of ...

Deep learning has become a popular tool for computer-aided diagnosis using medical images, sometimes matching or exceeding the performance of clinicians. However, these models can also reflect and ...

Abstract: Computer-assisted Language Learning (CALL) is a rapidly developing area accelerated by advancements in the field of AI. A well-designed and reliable CALL system allows students to practice ...

TractOracle-RL is half of TractOracle, a reinforcement learning system for tractography. TractOracle-RL is a tractography algorithm which is trained via reinforcement learning using TractOracle-Net.

Computer-assisted reporting (CAR) tools were suggested to improve radiology report quality by context-sensitively recommending key imaging biomarkers. However, studies evaluating machine learning (ML) ...

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