Results 31 to 40 of about 98,125 (260)
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
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
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
ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source
Computer-Assisted Tomography in Ophthalmology Diagnosis
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Zeki Çıkman
doaj
Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study
ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig +13 more
wiley +1 more source
Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez +14 more
wiley +1 more source
Computer-assisted diagnosis to improve diagnostic pathology: A review
With 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
ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba +11 more
wiley +1 more source
Easy Diagnosis of Asthma: Computer-Assisted, Symptom-Based Diagnosis [PDF]
Diagnosis of asthma is often challenging in primary-care physicians due to lack of tools measuring airway obstruction and variability. Symptom-based diagnosis of asthma utilizing objective diagnostic parameters and appropriate software would be useful in clinical practice.
Choi, Byoung Whui +13 more
openaire +2 more sources

