Results 191 to 200 of about 52,862 (296)

Effects of obstructive sleep apnea on vascular structure and function in adults with obesity and type 2 diabetes: a comparative study. [PDF]

Cardiovasc Endocrinol Metab
Nithitsutthibuta K, Sonsuwan N, Uthaikhup S, Kiatwattanacharoen S, Kunritt J, Pratanaphon S.   +5 more
europepmc   +1 more source

Parallel Multimodal Language Model: Enhanced Breast Nodule Diagnosis through Parallel Multimodal Representations and Large Language Models

Advanced Intelligent Systems, EarlyView.
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng, Patrick Cheong‐Iao Pang, Ping He, Yue Sun, Hongju Yan, Xiangyu Xiong, Ligang Cui, Tao Tan, Lingyun Bao   +8 more
wiley   +1 more source

CXR-LLaVA: a multimodal large language model for interpreting chest X-ray images. [PDF]

Eur Radiol
Lee S, Youn J, Kim H, Kim M, Yoon SH.
europepmc   +1 more source

A Soft‐Tip Hydraulically Steerable Catheter for Enhanced Flexibility and Safety in Vascular Interventions

Advanced Intelligent Systems, EarlyView.
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang, Ye Wang, Jiayuan Liu, Zhuhao Wang, Xuan Yang, Jie Wang, Jian Wu, Guochen Ning, Boyu Zhang, Hongen Liao   +9 more
wiley   +1 more source

Combination of imaging features on pancreatic CT for predicting early recurrence after upfront pancreatoduodenectomy of pancreatic ductal adenocarcinoma. [PDF]

Eur J Radiol Open
Zhang S, Guo YX, Dai GX, Qi X, Wang H, Zhou Y, Zhang K, Chen FM.   +7 more
europepmc   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source

Purely cystic intraosseous meningioma of the skull: A radiologic conundrum and histologic challenge. [PDF]

Surg Neurol Int
Rojas D, Kavoussi A, Ricciardelli AR, Flores A, Gopakumar S, Carrete L, Lu HC, Brenner AW, Patel AJ.   +8 more
europepmc   +1 more source

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

Advanced Intelligent Systems, EarlyView.
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang, Lin Li, Long Cheng, Yujie Liu, Zhaoqing Liu, Jiangpeng Wu, Pengyi Zhang, Jiarui Wang, Dekui Zhang, Shuyan Li   +9 more
wiley   +1 more source

Early Clinical and Radiologic Evaluation of Endoscopic Unilateral Laminectomy for Bilateral Decompression in Degenerative Lumbar Spinal Stenosis: A Retrospective Study. [PDF]

Int J Spine Surg
Guo C, Ding T, Zheng J, Fang X, Feng Z, Xue Y.   +5 more
europepmc   +1 more source

MedVH: Toward Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Advanced Intelligent Systems, EarlyView.
MedVH introduces the first comprehensive benchmark for diagnosing hallucinations in medical vision‐language models. Across six multitask evaluations, eight state‐of‐the‐art LVLMs reveal that domain‐tuned models, while strong on routine questions, hallucinate more than general models, raising serious concerns for real‐world clinical use.
Zishan Gu, Jiayuan Chen, Fenglin Liu, Changchang Yin, Ping Zhang   +4 more
wiley   +1 more source