Results 61 to 70 of about 70,067 (222)

Unsupervised machine learning for cardiovascular disease: A framework for future studies

European Journal of Heart Failure, EarlyView.
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso, Claire Lacomblez, Kévin Duarte, Luca Monzo, Guillaume Baudry, Jasper Tromp, Abhinav Sharma, Nicolas Girerd   +7 more
wiley   +1 more source

Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma

Journal of Cancer Research and Clinical Oncology
Purpose This study aimed to evaluate radiomic models’ ability to predict hypoxia-related biomarker expression in clear cell renal cell carcinoma (ccRCC).
Yijun Shao, Harmony S. Cen, Anu Dhananjay, S. J. Pawan, Xiaomeng Lei, Inderbir S. Gill, Anishka D’souza, Vinay A. Duddalwar   +7 more
doaj   +1 more source

A Study on Energy Consumption in AI-Driven Medical Image Segmentation

Journal of Imaging
As artificial intelligence advances in medical image analysis, its environmental impact remains largely overlooked. This study analyzes the energy demands of AI workflows for medical image segmentation using the popular Kidney Tumor Segmentation-2019 ...
R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay Duddalwar, C.-C. Jay Kuo   +6 more
doaj   +1 more source

Value of 18F-FDG-PET/CT radiomics combined with clinical variables in the differential diagnosis of malignant and benign vertebral compression fractures

EJNMMI Research, 2023
Background Vertebral compression fractures (VCFs) are common clinical problems that arise from various reasons. The differential diagnosis of benign and malignant VCFs is challenging.
Xun Wang, Dandan Zhou, Yu Kong, Nan Cheng, Ming Gao, Guqing Zhang, Junli Ma, Yueqin Chen, Shuang Ge   +8 more
doaj   +1 more source

Ultrasound-Based Radiomics Analysis for Predicting Disease-Free Survival of Invasive Breast Cancer

Frontiers in Oncology, 2021
BackgroundAccurate prediction of recurrence is crucial for personalized treatment in breast cancer, and whether the radiomics features of ultrasound (US) could be used to predict recurrence of breast cancer is still uncertain.
Lang Xiong, Haolin Chen, Haolin Chen, Haolin Chen, Xiaofeng Tang, Biyun Chen, Xinhua Jiang, Lizhi Liu, Yanqiu Feng, Yanqiu Feng, Yanqiu Feng, Longzhong Liu, Li Li   +12 more
doaj   +1 more source

Sensor, Signal, and Imaging Informatics in 2017. [PDF]

, 2018
Objective To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.Methods PubMed® and Web of Science® were searched to identify the scientific publications published in 2017 that addressed sensors ...
Deserno, Thomas M, Hsu, William, Kahn, Charles E, Section Editors for the IMIA Yearbook Section on Sensor, Signal and Imaging Informatics   +3 more
core  

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

, 2017
Quantitative extraction of high-dimensional mineable data from medical images is a process known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk assessment and the quantification of intratumoural heterogeneity. In this
Aerts, Hugo J. W. L., Furstoss, Christophe, Kay-Rivest, Emily, Khaouam, Nader, Liem, Xavier, Naqa, Issam El, Nguyen-Tan, Phuc Felix, Perrin, Léo Jean, Seuntjens, Jan, Sultanem, Khalil, Vallières, Martin, Wang, Chang-Shu   +11 more
core   +2 more sources

Sizing and concentration analysis of cfDNA using Biabooster technology: Results from a prospective plasma‐based collection of 77 patients with locally advanced unresectable esophageal cancer

International Journal of Cancer, EarlyView.
What's New? This study introduces a novel approach for detecting locally advanced esophageal carcinoma using cell‐free DNA (cfDNA) analysis through a highly sensitive fragmentome assay. Unlike traditional sequencing‐based methods that are limited by the absence of specific mutations in esophageal tumors, our method offers an alternative by quantifying ...
Anouchka Modesto, Sophie Gibert, Caroline Delmas, David Tougeron, Amaury Paumier, Alexandre Taillez, Samuel Le Sourd, Delphine Argo Leignel, Philippe Ronchin, Ariane Darut Jouve, Véronique Vendrely, Olivier Riou, Jérôme Martin‐Babau, Thomas Leroy, Laurent Quéro, Naïma Hanoun, Pierre Cordelier, Veronica Pezzella, Jean Pierre Delord, Rosine Guimbaud, Elizabeth Moyal, Catherine Seva   +21 more
wiley   +1 more source

A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?

npj Precision Oncology
The search for understanding immunotherapy response has sparked interest in diverse areas of oncology, with artificial intelligence (AI) and radiomics emerging as promising tools, capable of gathering large amounts of information to identify suitable ...
Marta Ligero, Bente Gielen, Victor Navarro, Pablo Cresta Morgado, Olivia Prior, Rodrigo Dienstmann, Paolo Nuciforo, Stefano Trebeschi, Regina Beets-Tan, Evis Sala, Elena Garralda, Raquel Perez-Lopez   +11 more
doaj   +1 more source

Cavitation of Pulmonary Metastases During Enfortumab Vedotin for Metastatic Ureteral Urothelial Carcinoma

IJU Case Reports, EarlyView.
ABSTRACT Introduction Enfortumab vedotin (EV), a Nectin‐4–targeted antibody–drug conjugate, is active in previously treated urothelial carcinoma. Cavitation of pulmonary metastases is classically linked to squamous histology or anti‐angiogenic/cytotoxic regimens; rarely reported under EV.
Fumihiro Ito, Koki Kobayashi, Gaku Hayashi, Shunsuke Kamijo, Takashi Fujita   +4 more
wiley   +1 more source