29 results found

Niazmeen Razzaq, Najia Zulfiqar

The rapid adoption of artificial intelligence (AI) tools in higher education has raised important questions about their influence on students’ academic outcomes. However, limited research has examined...

Research Square 2026-04-21 rs-9463352
Academic performance artificial intelligence ChatGPT use critical thinking university students

Fumihiko Furuya, Keiichi Nakano, Yoshiko Matsumoto, Koki Shio, Satoshi Suzuki, Satoru Suzuki, Hiroki Shimura, Hidetoshi Ando

Background: Accurate interpretation of thyroid ultrasound requires substantial experience, and diagnostic performance among trainees remains variable. Artificial intelligence (AI) has shown promise in...

BMC Medical Education 2026-04-21 rs-9329400

Ahmed Elsayed Abdelfattah, Mohamed Seifeldin, Mohamed Mostafa Fouad

Network intrusion detection systems play a vital role in safeguarding digital infrastructure. Still, significant challenges persist due to the highly imbalanced nature of network traffic and the lack ...

Scientific Reports 2026-04-21 rs-9108130
Intrusion Detection System Deep Learning for Cybersecurity Transformer Model Class Imbalance Learning Explainable Artificial Intelligence Network Traffic Analysis

Maurice Wanyonyi, Dominic Kitavi, Faith Mueni, Zakayo Ndiku

Stroke remains a major global health burden and is a frequent and severe complication among patients with coronary heart disease (CHD). Early identification of individuals at high risk is essential fo...

Scientific Reports 2026-04-21 rs-8864270
Stroke risk prediction Coronary heart disease Machine learning Explainable artificial intelligence

Yan Ding, Juan Yu, Min Liu, Xiangyu Liu, Ling Kang, Liujing Huang, Jinze Li, Yanan Wang, Xin Xu, Min Zhao, Ping Wei, Shuangbiao Li, Zaibo Li, Yueping Liu

Background Neoadjuvant therapy (NAT) is crucial for locally advanced breast cancer, but post-NAT lymph node assessment is challenging due to histological changes. Current methods like immunohistochemi...

Breast Cancer Research 2026-04-20 rs-9159505
breast cancer neoadjuvant therapy lymph node metastasis artificial intelligence digital pathology CLAM framework

Amin Ramezani, Negin Maddah, Melina Heine, Ali Homaei, Leonard Simeth, Laura Mazuera, Asishana Osho, Jochen D. Muehlschlegel, Jakob Wollborn, Farhad R. Nezami

Background Postoperative atrial fibrillation (POAF) affects 20 ̶50% of patients undergoing cardiac surgery and is associated with prolonged hospital stays and adverse outcomes. Although several risk f...

npj Digital Medicine 2026-04-20 rs-9138384
Atrial fibrillation remote patient monitoring artificial intelligence perioperative monitoring cardiac surgery

Rajabhishek Singh, Jaiprakash Narain Dwivedi

Judicial decision-making involves complex reasoning based on legal facts, statutory interpretation, and precedent analysis. Although transformer-based language models have improved the automated analy...

Discover Applied Sciences 2026-04-20 rs-9227523
Explainable Artificial Intelligence Transformer-Based Language Models Judicial Text Analytics Bias Attribution Analysis Integrated Gradients and Attribution-Aware Retrieval-Augmented Generation.

Damien F. G. Minenna, Guillaume Dilasser, Robin Penavaire, Valerio Calvelli, Thibault de Chabannes, Thibault Lecrevisse, Thomas Achard, Jason Le Coz, Christophe Berriaud, Benoît Bolzon, Antomne Caunes, Phillipe Fazilleau, Hélène Felice, Clément Genot, Antoine Guinet, Nikola Jerance, François-Paul Juster, Thibaut Lemercier, Gilles Lenoir, Clément Lorin, Yann Perron, Camille Pucheu-Plante, Étienne Rochepault, Damien Simon, Francesco Stacchi, Michel Segreti, Vincent Trauchessec, Olivier Tuske, Hajar Zgour

Superconducting magnets for particle accelerators are particularly challenging to design because they involve a large number of coupled physical phenomena and the management of complex datasets. Artif...

EPJ Research Infrastructures 2026-04-20 rs-9367074
Superconducting Magnets Artificial Intelligence Machine Learning Evolutionary Computation Topology Optimisation Quench Anomaly detection

Ketan Dayma, Palak Patel, Kenneth Hildreth, Tamara Jamaspishvili

Importance: Adoption of FDA-cleared AI/ML-enabled devices is rising, led by Radiology, and FDA is adapting to a newer framework of Predetermined Change Control Plan (PCCP) to enable controlled post-ma...

Research Square 2026-04-15 rs-9411603
Artificial Intelligence Radiology Predetermined Change Control Plan (PCCP) Post-Market Surveillance Software as a Medical Device (SaMD)
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