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Prediction of surfactant requirement in Indian preterm infants by lung ultrasound scores: a diagnostic accuracy study from a develo** country
The purpose of this study is to validate lung ultrasound score (LUS) for prediction of surfactant replacement therapy (SRT) in Indian infants of 27–33
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Multi-risk factors joint prediction model for risk prediction of retinopathy of prematurity
PurposeRetinopathy of prematurity (ROP) is a retinal vascular proliferative disease common in low birth weight and premature infants and is one of...
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Support vector machine prediction of individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact
Social difficulties during interactions with others are central to autism spectrum disorder (ASD). Understanding the links between these social...
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Benign and Malignant Cancer Prediction Using Deep Learning and Generating Pathologist Diagnostic Report
The genesis of the proposition to employ deep learning methods for the identification of cancer images stems from the pressing need to augment the...
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Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy
Oral cancer ranks as the sixth most prevalent form of cancer worldwide, presenting a significant public health concern. According to the World Health...
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Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms
Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related deaths in women. Despite several limitations, histopathological...
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Diagnostic Neuroimaging and Laboratory Tests
The current diagnosis for psychiatric disorders largely relies on clinical symptoms, and therefore the accuracy of diagnosis is often affected by...
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Individualized prediction models in ADHD: a systematic review and meta-regression
There have been increasing efforts to develop prediction models supporting personalised detection, prediction, or treatment of ADHD. We overviewed...
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Development and external validation of a machine learning-based prediction model for the cancer-related fatigue diagnostic screening in adult cancer patients: a cross-sectional study in China
PurposeCancer-related fatigue (CRF) is the most common symptom in cancer patients and may interfere with patients’ daily activities and decrease...
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Diagnostic Testing: Assessing the Value of Studies of Diagnostic Tests
Diagnostic testing is a core domain in any evidence-based medicine curriculum and is also a place where the concepts typically tested in early health...
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A non-invasive diagnostic nomogram for CHB-related early cirrhosis: a prospective study
This study aimed to construct a non-invasive diagnostic nomogram based on high-frequency ultrasound and magnetic resonance imaging results for early...
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Whole genomes from bacteria collected at diagnostic units around the world 2020
The Two Weeks in the World research project has resulted in a dataset of 3087 clinically relevant bacterial genomes with pertaining metadata,...
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Diagnostic Performance of Artificial Intelligence in Detection of Hepatocellular Carcinoma: A Meta-analysis
Due to the increasing interest in the use of artificial intelligence (AI) algorithms in hepatocellular carcinoma detection, we performed a systematic...
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PM2.5-bound polycyclic aromatic hydrocarbons (PAHs): quantification and source prediction studies in the ambient air of automobile workshop using the molecular diagnostic ratio
The presence of polycyclic aromatic hydrocarbons (PAHs) in the atmosphere has been linked to health concerns, including cancer. Automobile workshops...
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CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study
BackgroundStratification of DNA mismatch repair (MMR) status in patients with colorectal cancer (CRC) enables individual clinical treatment decision...
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Diagnostic Accuracy and Reliability of Deep Learning-Based Human Papillomavirus Status Prediction in Oropharyngeal Cancer
Oropharyngeal cancer (OPC) patients with associated human papillomavirus (HPV) infection generally present more favorable outcomes than HPV-negative...
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Imprinted gene detection effectively improves the diagnostic accuracy for papillary thyroid carcinoma
BackgroundPapillary thyroid carcinoma (PTC) is the most frequent histological type of thyroid carcinoma. Although an increasing number of diagnostic...
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Identification and validation of a blood- based diagnostic lipidomic signature of pediatric inflammatory bowel disease
Improved biomarkers are needed for pediatric inflammatory bowel disease. Here we identify a diagnostic lipidomic signature for pediatric inflammatory...
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The value of adding DWI and FLAIR signal changes in the resection cavity on the diagnostic performance of BT-RADS category 3 for tumor progression prediction in post-treated glioma patients: a prospective pilot study
BackgroundBT-RADS is a structured reporting system of post-treatment glioma. BT-RADS category 3 carries a probability of recurrent malignancy versus...
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Expression of Fascin-1 and its diagnostic value in liver cancer
Although some studies have reported on the expression and clinical significance of Fascin-1 (FSCN1) in liver cancer, the clinical application and...
