AIMC Topic: Odds Ratio

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Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis.

BMC oral health Dec 19, 2023
BACKGROUND: The development of deep learning (DL) algorithms for use in dentistry is an emerging trend. Periodontitis is one of the most prevalent oral diseases, which has a notable impact on the life quality of patients. Therefore, it is crucial to ...
Sensitivity and Specificity Deep Learning ROC Curve Odds Ratio Humans Algorithms
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Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias : A Randomized Trial.

Annals of internal medicine Aug 29, 2023
BACKGROUND: The role of computer-aided detection in identifying advanced colorectal neoplasia is unknown.
Humans Artificial Intelligence Colorectal Neoplasms Colonoscopy Radiopharmaceuticals Odds Ratio
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Systematic review with meta-analysis: artificial intelligence in the diagnosis of oesophageal diseases.

Alimentary pharmacology & therapeutics Jan 30, 2022
BACKGROUND: Artificial intelligence (AI) has recently been applied to endoscopy and questionnaires for the evaluation of oesophageal diseases (ODs).
Endoscopy Humans ROC Curve Artificial Intelligence Odds Ratio Gastroesophageal Reflux
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Development and validation of a practical machine-learning triage algorithm for the detection of patients in need of critical care in the emergency department.

Scientific reports Dec 15, 2021
Identifying critically ill patients is a key challenge in emergency department (ED) triage. Mis-triage errors are still widespread in triage systems around the world. Here, we present a machine learning system (MLS) to assist ED triage officers bette...
Humans Machine Learning Algorithms Critical Illness Area Under Curve Male Odds Ratio Emergency Service, Hospital Clinical Decision-Making Middle Aged Disease Susceptibility Critical Care Female ROC Curve Disease Management Aged Triage Adult
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Risk factor assessments of temporomandibular disorders via machine learning.

Scientific reports Oct 5, 2021
This study aimed to use artificial intelligence to determine whether biological and psychosocial factors, such as stress, socioeconomic status, and working conditions, were major risk factors for temporomandibular disorders (TMDs). Data were retrieve...
Male Middle Aged Risk Assessment Models, Theoretical Female Risk Factors Aged Adult Public Health Surveillance Temporomandibular Joint Disorders Odds Ratio Disease Susceptibility Humans Artificial Intelligence Machine Learning Republic of Korea
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Sociodemographic risk factors of under-five stunting in Bangladesh: Assessing the role of interactions using a machine learning method.

PloS one Aug 31, 2021
This paper aims to demonstrate the importance of studying interactions among various sociodemographic risk factors of childhood stunting in Bangladesh with the help of an interpretable machine learning method. Data used for the analyses are extracted...
Infant Growth Disorders Child, Preschool Sociodemographic Factors Logistic Models Humans Infant, Newborn Bangladesh Machine Learning Reproducibility of Results Odds Ratio Female Risk Factors Male
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Diagnostic performance of deep-learning-based screening methods for diabetic retinopathy in primary care-A meta-analysis.

PloS one Aug 10, 2021
BACKGROUND: Diabetic retinopathy (DR) affects 10-24% of patients with diabetes mellitus type 1 or 2 in the primary care (PC) sector. As early detection is crucial for treatment, deep learning screening methods in PC setting could potentially aid in a...
Mass Screening Predictive Value of Tests Humans Odds Ratio Diabetic Retinopathy Publication Bias Deep Learning ROC Curve Primary Health Care
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Machine Learning Approaches to Predict Hepatotoxicity Risk in Patients Receiving Nilotinib.

Molecules (Basel, Switzerland) May 31, 2021
Although nilotinib hepatotoxicity can cause severe clinical conditions and may alter treatment plans, risk factors affecting nilotinib-induced hepatotoxicity have not been investigated. This study aimed to elucidate the factors affecting nilotinib-i...
Risk Protein Kinase Inhibitors Pyrimidines Chemical and Drug Induced Liver Injury Antineoplastic Agents Machine Learning Liver Male Retrospective Studies Area Under Curve Middle Aged Female Odds Ratio Risk Assessment Risk Factors Humans Aged Aged, 80 and over Young Adult Adult
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Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging.

Scientific reports Mar 23, 2021
The goal of this study was to develop a deep learning-based algorithm to predict temporomandibular joint (TMJ) disc perforation based on the findings of magnetic resonance imaging (MRI) and to validate its performance through comparison with previous...
Humans Algorithms Female Male Odds Ratio Temporomandibular Joint Deep Learning Temporomandibular Joint Disc ROC Curve Magnetic Resonance Imaging Area Under Curve
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Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk.

JNCI cancer spectrum Feb 6, 2021
BACKGROUND: Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge.
Confidence Intervals Odds Ratio Breast Density Breast Diseases Mammography Biopsy Breast Supervised Machine Learning Aged, 80 and over Middle Aged Young Adult Case-Control Studies Adult Diagnosis, Computer-Assisted Breast Neoplasms Humans Age Factors Female Risk Factors Aged
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