Results 31 to 40 of about 14,533 (161)

Artificial Intelligence for Language Learning: A Systematic Review of its Design, Theoretical Foundations, Implementation, and Impact

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao, Michelle Mingyue Gu, Chaoqun Lu   +2 more
wiley   +1 more source

Prognostic value of serum growth differentiation factor-15, brain natriuretic peptide and adiponectin in patients with acute myocardial infarction [PDF]

Objective To investigate the expression levels of serum growth differentiation factor-15 (GDF-15), brain natriuretic peptide (BNP), and adiponectin (APN) in patients with acute myocardial infarction (AMI) and their prognostic evaluation value.
GU Peipei*, WANG Haitao, WEI Xiaohui
core   +2 more sources

Machine Learning Model for an App‐Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis

Veterinary Dermatology, Volume 37, Issue 2, Page 236-246, April 2026.
Canine atopic dermatitis (cAD) is a chronic condition requiring life‐long management. Accurate diagnosis can be challenging, with no reliable diagnostic test. This study aimed to generate a simple diagnostic model for cAD. This model is a relevant prototype for an app‐based tool to support general practitioners in the diagnosis of cAD alongside ...
Xavier Langon, Mathieu Montoya, Isabelle Gourdon   +2 more
wiley   +1 more source

Expression, clinical significance and biological function of CDC7 in osteosarcoma [PDF]

Objective To investigate the expression and clinical significance of cell division cycle 7 (CDC7) in osteosarcoma (OS) and its effect on the proliferation, migration and invasion of OS cells.
CHEN Peijun, HE Maolin, HE Mingwei, LIANG Bumin, MAN Yunan   +4 more
core   +1 more source

Randomised, Double‐Blinded, Placebo‐Controlled Challenge Test With Single Food Items in Dogs With Atopic Dermatitis and Adverse Food Reactions

Veterinary Dermatology, Volume 37, Issue 2, Page 247-256, April 2026.
ABSTRACT Background Identification of offending foods in dogs with adverse food reactions is usually based on “deterioration” during open food challenges. Objectives To examine the placebo effect during double‐blinded, placebo‐controlled food challenges using a predefined set of criteria for relapse.
Evi I. Sofou, Elisa Samuel, Svetlina Aleksandrova, Manolis Chatzis, Manolis N. Saridomichelakis   +4 more
wiley   +1 more source

Application of machine learning in hepatocellular carcinoma [PDF]

Hepatocellular carcinoma (HCC) is a common solid tumor. In recent years, although significant researches have been focused on diagnostic and therapeutic strategies for HCC, the overall prognosis for patients remains challenging.
LI Chengzhong, LIU Dingjing, NIU Riyu, WANG Xin   +3 more
core   +2 more sources

Multiple pregnancy with complete hydatidiform mole and coexisting normal fetus: systematic review and meta‐analysis of clinical outcomes from non‐randomized studies

Ultrasound in Obstetrics &Gynecology, Volume 67, Issue 3, Page 272-282, March 2026.
ABSTRACT Objective Complete hydatidiform mole and coexisting normal fetus (CHMCF) is a rare condition for which there is significant heterogeneity in diagnosis, counseling and management of complications. The objective of this study was to summarize the prevalence of clinical outcomes in reported cases of CHMCF.
N. Salmeri, A. Pizzetti, E. Grassi, R. Cioffi, G. Mangili, M. Seckl, A. Sotiriadis, M. Candiani, P. I. Cavoretto   +8 more
wiley   +1 more source

Evaluation of early blood inflammation indicators on the prognosis of patients with severe community-acquired pneumonia [PDF]

Objective To evaluate the prognostic value of early blood inflammatory indicators in patients with respiratory failure caused by severe community-acquired pneumonia.
Sun Shiyu, Zhu Miao, Li Tiantian, Wang Haibo, Zuo Huaqin, Wang Xuejie
core   +1 more source

Ultrasound features in early pregnancy for predicting abnormal karyotype in first‐trimester miscarriage

Ultrasound in Obstetrics &Gynecology, Volume 67, Issue 3, Page 376-384, March 2026.
ABSTRACT Objective To investigate whether combining abnormal morphological features observed on ultrasound in live pregnancies that ended in a first‐trimester miscarriage can predict an abnormal karyotype. Methods This retrospective observational cohort study was conducted at the early‐pregnancy assessment unit at University College London Hospital ...
T. Setty, S. L. Kastora, T. Tellum, J. Farren, E. Jauniaux, D. Jurkovic   +5 more
wiley   +1 more source

Research of Esophagus Disease-aided diagnosis Based on Ultrasonic Endoscope Image [PDF]

, 2015
食管疾病是常见疾病之一，对人们的健康产生了严重的威胁。随着超声内镜(EUS)应用的发展和普及，提高了食管成像清晰度，成为临床诊治的必要诊断工具。超声内镜可为食管疫病的诊断及给出合理的治疗方案给予非常大的帮助，但是国内外对EUS诊断主要依靠内镜医师个人经验，缺乏客观诊断依据，因此使得EUS的应用受到限制。由此看来利用计算机技术对食管疾病进行辅助诊断是非常有意义的。 本文主要研究三类食管EUS图像分类的问题，包括食管早癌、食管平滑肌瘤以及正常食管。首先对EUS图像进行去噪处理，之后提取EUS图像的特征点 ...
魏倩倩
core