Results 41 to 50 of about 363,783 (284)
Insights into Imaging, 2023 Key points Computer-aided diagnostics has potential to predict the nature of ovarian tumors. Literature shows heterogeneous sensitivity and specificity of machine learning on ultrasound images, CT-scan images and MRI-scan images. More prospective studies
Anna H. Koch +8 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adverse childhood experiences (ACEs) are stressful or traumatic events prior to age 18 that are known to have a lasting impact on individuals’ health and well‐being. There is a gap in understanding the relationship between ACEs and Other Life Stressors and health status for adults with sickle cell disease (SCD).
Marsha Treadwell +8 more
wiley +1 more source
Mobile Information Systems, 2019 Diabetic retinopathy (DR) is a complication of long-standing diabetes, which is hard to detect in its early stage because it only shows a few symptoms. Nowadays, the diagnosis of DR usually requires taking digital fundus images, as well as images using ...
Yung-Hui Li +3 more
semanticscholar +1 more source
International Journal of Environmental Research and Public Health, 2022 Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical scenarios and augment work efficiency and accuracy. However, factors influencing healthcare workers’ adoption intention of AI-assisted diagnosis and treatment are not ...
Mengting Cheng, Xianmiao Li, Jicheng Xu
semanticscholar +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Computational and Structural Biotechnology Journal, 2023 Recent studies of automatic diagnosis of vertebral compression fractures (VCFs) using deep learning mainly focus on segmentation and vertebral level detection in lumbar spine lateral radiographs (LSLRs).
Seung Min Ryu +7 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Computer-assisted diagnosis to improve diagnostic pathology: A review
Indian Journal of Pathology and MicrobiologyWith an increasing demand for accuracy and efficiency in diagnostic pathology, computer-assisted diagnosis (CAD) emerges as a prominent and transformative solution.
Alessandro Caputo +8 more
doaj +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source