Results 251 to 260 of about 229,925 (327)

Clinical Application of Using Diffusion-Based Wasserstein Generative Adversarial Network for Morphologic Analysis of Blood Cells. [PDF]

J Clin Lab Anal
Kim HY, Ngasa EE, Kim HJ, Kim B, Lim G, Park CH, Kwon HJ, Jang MA, Woo J.   +8 more
europepmc   +1 more source

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, EarlyView.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +1 more source

Adversarial prompt and fine-tuning attacks threaten medical large language models. [PDF]

Nat Commun
Yang Y, Jin Q, Huang F, Lu Z.
europepmc   +1 more source

Automatic Foreign Matter Segmentation System for Superabsorbent Polymer Powder: Application of Diffusion Adversarial Representation Learning

Ssu‐Han Chen, Meng-Jey Youh, Yanru Chen, Jer‐Huan Jang, Hung-Yi Chen, Hoang-Giang Cao, Yang-Shen Hsueh, Chuanfu Liu, Kevin Fong-Rey Liu   +8 more
openalex   +1 more source

Is orthopaedics entering the age of generative AI?—A narrative review of current applications, challenges, and future directions

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Artificial intelligence (AI) in medicine is undergoing a pivotal transformation, evolving from discriminative models that classify data to generative AI systems capable of creating novel content. Generative AI is a type of artificial intelligence that can learn from and mimic large amounts of data to create content such as text, images, music,
Felix C. Oettl, James A. Pruneski, Balint Zsidai, Yinan Yu, Ting Cong, Thomas Tischer, Michael T. Hirschmann, Kristian Samuelsson   +7 more
wiley   +1 more source

An efficient data driven framework for intrusion detection in wireless sensor networks using deep learning. [PDF]

Sci Rep
Sinha P, Sahu D, Prakash S, Rathore RS, Dixit P, Pandey VK, Hunko I.   +6 more
europepmc   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

Laser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

D2S-DiffGAN: a novel image classification model under limited labeled samples. [PDF]

Sci Rep
Li Y, Long W, Zhang L, Ren Y.
europepmc   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Editorial: Advances and challenges in AI-driven visual intelligence: bridging theory and practice. [PDF]

Front Artif Intell
Huang B, Zhang D, Liu Q.
europepmc   +1 more source