AIMC Topic: Follow-Up Studies

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Early and accurate detection and diagnosis of heart disease using intelligent computational model.

Scientific reports Nov 12, 2020
Heart disease is a fatal human disease, rapidly increases globally in both developed and undeveloped countries and consequently, causes death. Normally, in this disease, the heart fails to supply a sufficient amount of blood to other parts of the bod...
Humans Artificial Intelligence Machine Learning Prognosis Female Models, Statistical Heart Diseases Middle Aged ROC Curve Computational Biology Follow-Up Studies Aged Aged, 80 and over Adult Male
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Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.

BMC endocrine disorders Nov 12, 2020
BACKGROUND: Metabolic syndrome (MetS) is a major public health concern due to its high prevalence and association with heart disease and diabetes. Artificial neural networks (ANN) are emerging as a reliable means of modelling relationships towards un...
Humans Metabolic Syndrome Neural Networks, Computer Predictive Value of Tests Female Sleep Apnea, Obstructive Risk Factors Occupational Stress Adult Male Follow-Up Studies
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Formal robotic training diminishes the learning curve for robotic pancreatoduodenectomy: Implications for new programs in complex robotic surgery.

Journal of surgical oncology Nov 2, 2020
INTRODUCTION: The learning curve associated with robotic pancreatoduodenectomy (RPD) is a hurdle for new programs to achieve optimal results. Since early analysis, robotic training has recently expanded, and the RPD approach has been refined. The pur...
Humans Prognosis Retrospective Studies Female Male Operative Time Surgeons Pancreatic Neoplasms Middle Aged Robotics Length of Stay Pancreaticoduodenectomy Follow-Up Studies Learning Curve
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Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital.

Asian Pacific journal of cancer prevention : APJCP Nov 1, 2020
BACKGROUND: Acute Lymphoblastic Leukemia (ALL) is the most common blood disease in children and is responsible for the most deaths amongst children. Due to major improvements in the treatment protocols in the 50-years period, the survivability of thi...
Hospitals Adolescent Child, Preschool Child Follow-Up Studies Female Infant, Newborn Male Infant Radiation Oncology Iran Precursor Cell Lymphoblastic Leukemia-Lymphoma Cranial Irradiation Humans Machine Learning Prognosis
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Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale.

Ophthalmology Oct 27, 2020
PURPOSE: To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severity score for retinopathy of prematurity (ROP) by assessing its correlation with clinical ROP diagnosis and by measuring clinician agreement in applyin...
Follow-Up Studies Gestational Age Ophthalmoscopy Retinopathy of Prematurity Retinal Vessels Humans Retrospective Studies Algorithms Infant, Newborn Severity of Illness Index Deep Learning
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Using Machine Learning to Predict Suicide Attempts in Military Personnel.

Psychiatry research Oct 22, 2020
Identifying predictors of suicide attempts is critical in intervention and prevention efforts, yet finding predictors has proven difficult due to the low base rate and underpowered statistical approaches. The objective of the current study was to use...
Self Report Military Personnel Male Cognitive Behavioral Therapy Suicide, Attempted Humans Suicidal Ideation Machine Learning Follow-Up Studies Female Predictive Value of Tests Adult
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Volumetric breast density estimation on MRI using explainable deep learning regression.

Scientific reports Oct 22, 2020
To purpose of this paper was to assess the feasibility of volumetric breast density estimations on MRI without segmentations accompanied with an explainability step. A total of 615 patients with breast cancer were included for volumetric breast densi...
Female Aged Aged, 80 and over Adult Breast Neoplasms Middle Aged Deep Learning Image Processing, Computer-Assisted Follow-Up Studies Neural Networks, Computer Carcinoma, Lobular Algorithms Prospective Studies Prognosis Magnetic Resonance Imaging Neoplasm Invasiveness Humans Carcinoma, Ductal, Breast Breast Density
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Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer.

Frontiers in endocrinology Oct 21, 2020
BACKGROUND: Central lymph node metastasis (CLNM) occurs frequently in patients with papillary thyroid cancer (PTC), but performing prophylactic central lymph node dissection is still controversial. There are no reliable models for predicting CLNM. Th...
Male Middle Aged Thyroid Neoplasms Retrospective Studies Humans ROC Curve Follow-Up Studies Female Machine Learning Lymphatic Metastasis Risk Factors Algorithms Thyroid Cancer, Papillary Adult Prognosis
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Lung Shrinkage: An Additional CT Marker in the Follow-up of Fibrotic Interstitial Lung Disease.

Radiology Oct 20, 2020
Follow-Up Studies Lung Diseases, Interstitial Scleroderma, Systemic Humans Tomography, X-Ray Computed Lung Deep Learning
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Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment.

Human brain mapping Oct 8, 2020
Subjective cognitive decline (SCD) is a high-risk yet less understood status before developing Alzheimer's disease (AD). This work included 76 SCD individuals with two (baseline and 7 years later) neuropsychological evaluations and a baseline T1-weig...
Disease Progression Self Report Humans Educational Status White Matter Amygdala Cognitive Dysfunction Aged Neuropsychological Tests Amnesia Machine Learning Follow-Up Studies Diagnostic Self Evaluation Male Brain Magnetic Resonance Imaging Middle Aged Prognosis Retrospective Studies Female
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