Results 221 to 230 of about 5,389,393 (319)

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

AB jailbreaking - a novel hybrid framework for exploitation of adversarial vulnerabilities in LLMs. [PDF]

Sci Rep
Ahmad A, Naseer M, Qamar U, Alfuraidan M.   +3 more
europepmc   +1 more source

Closing the Loop in Precision Oncology: A Digital Twin‐Driven Paradigm for Dynamic Decision‐Making

iMetaMed, EarlyView.
This review introduces the Closed‐Loop Intelligent Oncology System (CIOS), a five‐layer framework integrating digital twins and AI to enable adaptive, data‐driven cancer treatment. By synthesizing advances in multimodal perception, mechanistic simulation, and safe reinforcement learning, CIOS charts a roadmap toward dynamic, personalized oncology ...
Junye Zhu, Mengqi Yang, Chenxi Ouyang, Lin Zhang   +3 more
wiley   +1 more source

Threats and vulnerabilities in artificial intelligence and agentic AI models. [PDF]

Front Artif Intell
Radanliev P, Santos O, Maple C.
europepmc   +1 more source

Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective

While adversarial training is an effective defense method against adversarial attacks, it notably increases the training cost. To this end, fast adversarial training (FAT) is presented for efficient training and has become a hot research topic.
Gui, Jie, Tao, Dacheng, Dong, Minjing, Jiang, Chengze, Shi, Xinli, Tang, Yuan Yan, Tong, Kun   +6 more
core  

PET/CT and PET/MRI in Cancer Diagnosis and Management: A Comparative Clinical Perspective

iMetaMed, EarlyView.
This review compares PET/CT and PET/MRI in cancer imaging, highlighting their complementary roles for precise diagnosis and staging. It evaluates their technical strengths, clinical performance across various cancers, and future directions, including AI and novel tracers.
Zijian Ding, Ran Xue, Qianxi Jin, Wangzheqi Zhang, Yali Wu, Baixuan Xu   +5 more
wiley   +1 more source

Adversarial robustness of LLM-based multi-agent systems for engineering problems. [PDF]

Front Artif Intell
Wiesmeier L, Busch M, Tacke M, Linka K, Cyron C, Aydin R.   +5 more
europepmc   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source

Symmetry-Driven Multimodal Adversarial Attacks: An Information-Theoretic Perspective on Cross-Modal Invariance and Robustness. [PDF]

Entropy (Basel)
Wei J, Wang X, Xu L, Li Y.
europepmc   +1 more source

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

iNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng   +6 more
wiley   +1 more source