AIMC Topic: Case-Control Studies

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Deep learning can predict lymph node status directly from histology in colorectal cancer.

European journal of cancer (Oxford, England : 1990) Oct 11, 2021
BACKGROUND: Lymph node status is a prognostic marker and strongly influences therapeutic decisions in colorectal cancer (CRC).
Humans Prognosis Female Aged Aged, 80 and over Lymph Nodes Lymphatic Metastasis Neoplasm Staging Rectum Case-Control Studies Deep Learning Cohort Studies ROC Curve Image Processing, Computer-Assisted Colorectal Neoplasms Male Middle Aged Colon
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Global processing provides malignancy evidence complementary to the information captured by humans or machines following detailed mammogram inspection.

Scientific reports Oct 11, 2021
The information captured by the gist signal, which refers to radiologists' first impression arising from an initial global image processing, is poorly understood. We examined whether the gist signal can provide complementary information to data captu...
Breast Deep Learning Image Processing, Computer-Assisted Mammography Radiologists Humans Algorithms Female Breast Neoplasms Case-Control Studies
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A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department.

BMC emergency medicine Oct 7, 2021
BACKGROUND: Currently, the risk stratification of critically ill patient with chest pain is a challenge. We aimed to use machine learning approach to predict the critical care outcomes in patients with chest pain, and simultaneously compare its perfo...
Humans Machine Learning Retrospective Studies Female Triage Emergency Service, Hospital Percutaneous Coronary Intervention Chest Pain Critical Care Outcomes Aged Male Middle Aged Case-Control Studies
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Classification of Alzheimer's Disease Using Gaussian-Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network.

Computational and mathematical methods in medicine Oct 4, 2021
Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people, and it is often challenging to use traditional manual procedures when diagnosing a disease in the early stages. The successful implementation of machine lear...
Magnetic Resonance Imaging Multimodal Imaging Bayes Theorem Alzheimer Disease Early Diagnosis Neuroimaging Normal Distribution Humans Deep Learning Neural Networks, Computer Cognitive Dysfunction Prognosis Imaging, Three-Dimensional Case-Control Studies Computational Biology
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Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial.

Scientific reports Sep 13, 2021
Artificial intelligence technology is becoming more prevalent in health care as a tool to improve practice patterns and patient outcomes. This study assessed ability of a commercialized artificial intelligence (AI) mobile application to identify and ...
Male Case-Control Studies Mobile Applications Quality Improvement Practice Patterns, Physicians' Physical Therapy Modalities Formative Feedback Rehabilitation Physical Therapists Humans Artificial Intelligence Female Adult
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Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears.

Leukemia Sep 8, 2021
The evaluation of bone marrow morphology by experienced hematopathologists is essential in the diagnosis of acute myeloid leukemia (AML); however, it suffers from a lack of standardization and inter-observer variability. Deep learning (DL) can proces...
Middle Aged Aged Case-Control Studies Adult Deep Learning Mutation Follow-Up Studies Biomarkers, Tumor Bone Marrow Humans Leukemia, Myeloid, Acute Nucleophosmin Prognosis Male Retrospective Studies Female
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Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women.

Radiology Sep 7, 2021
Background The ability of deep learning (DL) models to classify women as at risk for either screening mammography-detected or interval cancer (not detected at mammography) has not yet been explored in the literature. Purpose To examine the ability of...
Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Case-Control Studies Humans Deep Learning Female Prospective Studies United States Reproducibility of Results Breast Neoplasms Mass Screening Middle Aged Mammography
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Detection of sarcopenic obesity and prediction of long-term survival in patients with gastric cancer using preoperative computed tomography and machine learning.

Journal of surgical oncology Sep 7, 2021
BACKGROUND: Previous studies evaluating the prognostic value of computed tomography (CT)-derived body composition data have included few patients. Thus, we assessed the prevalence and prognostic value of sarcopenic obesity in a large population of ga...
Middle Aged Case-Control Studies Body Mass Index Follow-Up Studies Obesity Stomach Neoplasms Survival Rate Cross-Sectional Studies Male Sarcopenia Muscle, Skeletal Body Composition Gastrectomy Humans Machine Learning Prognosis Tomography, X-Ray Computed Female Risk Factors
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Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data.

Diabetes & metabolic syndrome Aug 28, 2021
AIMS: This research work presented a comparative study of machine learning (ML), including two objectives: (i) determination of the risk factors of diabetic nephropathy (DN) based on principal component analysis (PCA) via different cutoffs; (ii) pred...
Middle Aged Risk Assessment Humans Prognosis Machine Learning Case-Control Studies Bayes Theorem Diabetic Nephropathies Female Pilot Projects Reproducibility of Results Support Vector Machine Diabetes Mellitus, Type 2 Male Follow-Up Studies Principal Component Analysis
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An approach to rapidly assess sepsis through multi-biomarker host response using machine learning algorithm.

Scientific reports Aug 19, 2021
Sepsis is a life-threatening condition and understanding the disease pathophysiology through the use of host immune response biomarkers is critical for patient stratification. Lack of accurate sepsis endotyping impedes clinicians from making timely d...
Bayes Theorem Clinical Decision-Making Reproducibility of Results Case-Control Studies Sepsis Humans Machine Learning Algorithms Biomarkers
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