Generative adversarial networks in medicine: important considerations for this emerging innovation in artificial intelligence
The advent of artificial intelligence (AI) and machine learning (ML) has revolutionized the
field of medicine. Although highly effective, the rapid expansion of this technology has …
field of medicine. Although highly effective, the rapid expansion of this technology has …
Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function
S Yu, S Han, M Shi, M Harada, J Ge, X Li, X Cai… - Metabolites, 2024 - mdpi.com
Accurate risk prediction for myocardial infarction (MI) is crucial for preventive strategies,
given its significant impact on global mortality and morbidity. Here, we propose a novel deep …
given its significant impact on global mortality and morbidity. Here, we propose a novel deep …
DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content
W Wang, X Huang, SK Roy - arXiv preprint arXiv:2312.10407, 2023 - arxiv.org
This paper explores the image synthesis capabilities of GPT-4, a leading multi-modal large
language model. We establish a benchmark for evaluating the fidelity of texture features in …
language model. We establish a benchmark for evaluating the fidelity of texture features in …
MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug–Target Interactions Prediction
YL Zhang, WT Wang, JH Guan, DK Jain… - International Journal of …, 2024 - Springer
Drug–target interactions is essential for advancing pharmaceuticals. Traditional drug–target
interaction studies rely on labor-intensive laboratory techniques. Still, recent advancements …
interaction studies rely on labor-intensive laboratory techniques. Still, recent advancements …
Optimizing Parkinson's Disease Diagnosis with Multimodal Data Fusion Techniques
CMT Karthigeyan, C Rani - Information Technology and Control, 2024 - itc.ktu.lt
Parkinson's disease (PD) is a central nervous system neurodegenerative illness. Its
symptoms include poor motor skills, speech, cognition, and memory. The condition is …
symptoms include poor motor skills, speech, cognition, and memory. The condition is …
Realistic adversarial machine learning to improve network intrusion detection
JPM Vitorino - 2023 - recipp.ipp.pt
Modern organizations can significantly benefit from the use of Artificial Intelligence (AI), and
more specifically Machine Learning (ML), to tackle the growing number and increasing …
more specifically Machine Learning (ML), to tackle the growing number and increasing …