Results 161 to 170 of about 3,318,021 (296)

Development of Radiology Information System for Information Desk

Japanese Journal of Radiological Technology, 1997
openaire   +4 more sources

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation. [PDF]

JMIR Med Inform
Kim S, Lee S, Lee SY, Kim J, Kan K, Lee H, Yoon D.   +6 more
europepmc   +1 more source

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

Advanced Science, EarlyView.
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang, Weinuo Qu, Wenwen Cai, Chuhuai Wang, Chenxi Lyu, Qingguo Xie, Qian Chu, Yaqi Shen, Peng Xiao, Feng Li, Qingpeng Zhang, Jiali Li, Jeong Min Lee, Zhen Li   +13 more
wiley   +1 more source

Retrieval-Augmented Generation in Oncology: Promises, Pitfalls, and Early Applications. [PDF]

AI Precis Oncol
Thaker NG, Liu W, Waddle M, Showalter T, Mastroleo F, Luh J, Levitt C, Ning M, Loaiza-Bonilla A, Hong J.   +9 more
europepmc   +1 more source

Full Customization of the Radiology Information System

Japanese Journal of Radiological Technology, 1998
Takeshi Takahashi, Takeo Hikichi, Hiroyuki Kodama, Kohji Abe   +3 more
openaire   +2 more sources

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

Advanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen, Rui Liu, Yuan Zhou, Yin Xiao, Chengmin Feng, Lin Chen, Yanshi Li, Mengna Wang, Zhaobo Cheng, Yuxi Luo, Long Liu, Lijing Niu, Yue Xiang, Juan Peng, Guohua Hu, Min Pan   +15 more
wiley   +1 more source

Clinical AI in Radiology: Foundations, Trends, Applications, and Emerging Directions. [PDF]

Cancers (Basel)
Hartsock I, Koutsoubis N, Ahmed S, Parker N, Schabath MB, Araujo C, Qayyum A, Lam C, Gatenby RA, Rasool G.   +9 more
europepmc   +1 more source

Improving report turnaround time: an integrated method using data from a radiology information system.

AJR. American journal of roentgenology, 1994
J. Crabbe, C. L. Frank, W. Nye
semanticscholar   +1 more source

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

Advanced Science, EarlyView.
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li, Tingting Liu, Qian Yang, Zhiqing Zhang, Xiaofang Guo, Xiang Wang, Yihan Zhang, Limin Ge, Yu Su, Wenjun Wu, Weihua Guo, Zheng Wang, Lian Yang, Yanfeng Niu   +13 more
wiley   +1 more source

Optimising the prostate cancer diagnostic pathway in a tertiary hospital in Karachi: a two-cycle quality improvement project. [PDF]

BMJ Open Qual
Samad S, Samad H.
europepmc   +1 more source