AIMC Topic: Early Diagnosis

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Early Detection of Ureteropelvic Junction Obstruction Using Signal Analysis and Machine Learning: A Dynamic Solution to a Dynamic Problem.

The Journal of urology Oct 21, 2017
PURPOSE: We sought to define features that describe the dynamic information in diuresis renograms for the early detection of clinically significant hydronephrosis caused by ureteropelvic junction obstruction.
Humans Machine Learning Hydronephrosis Ureteral Obstruction Systems Analysis Multicystic Dysplastic Kidney Radioisotope Renography Retrospective Studies Sensitivity and Specificity Infant Early Diagnosis Diuresis
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Homecare Robots to Improve Health and Well-Being in Mild Cognitive Impairment and Early Stage Dementia: Results From a Scoping Study.

Journal of the American Medical Directors Association Sep 30, 2017
OBJECTIVES: This scoping study is the first step of a multiphase, international project aimed at designing a homecare robot that can provide functional support, track physical and psychological well-being, and deliver therapeutic intervention specifi...
Treatment Outcome Robotics New Zealand Activities of Daily Living Early Diagnosis Severity of Illness Index Interviews as Topic Cognitive Dysfunction Cohort Studies Caregivers Home Care Services Patient Acceptance of Health Care Humans Prognosis Female Aged Male Risk Assessment Quality of Life
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Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review.

Tuberculosis (Edinburgh, Scotland) Sep 20, 2017
Tuberculosis [TB] has afflicted numerous nations in the world. As per a report by the World Health Organization [WHO], an estimated 1.4 million TB deaths in 2015 and an additional 0.4 million deaths resulting from TB disease among people living with ...
Mycobacterium tuberculosis Early Diagnosis Reproducibility of Results Humans Diagnosis, Computer-Assisted Host-Pathogen Interactions Neural Networks, Computer Fuzzy Logic Decision Support Techniques Predictive Value of Tests Biomarkers Tuberculosis
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Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals.

Computer methods and programs in biomedicine Sep 20, 2017
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative dise...
Nonlinear Dynamics Early Diagnosis Dementia ROC Curve Age Factors Regression Analysis Sex Factors Sensitivity and Specificity Male Middle Aged Cognitive Dysfunction Humans Neural Networks, Computer Machine Learning Prognosis Female Aged Aged, 80 and over
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Individualized prediction of psychosis in subjects with an at-risk mental state.

Schizophrenia research Sep 19, 2017
Early intervention strategies in psychosis would significantly benefit from the identification of reliable prognostic biomarkers. Pattern classification methods have shown the feasibility of an early diagnosis of psychosis onset both in clinical and ...
Brain Female Young Adult Adult Male Humans Prospective Studies Family Image Interpretation, Computer-Assisted Early Diagnosis Pattern Recognition, Automated Proof of Concept Study Risk Genetic Predisposition to Disease Support Vector Machine Magnetic Resonance Imaging Psychotic Disorders
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Early Identification of Patients With Acute Decompensated Heart Failure.

Journal of cardiac failure Sep 5, 2017
BACKGROUND: Interventions to reduce readmissions after acute heart failure hospitalization require early identification of patients. The purpose of this study was to develop and test accuracies of various approaches to identify patients with acute de...
Heart Failure Quality Improvement Early Diagnosis Male Humans Retrospective Studies Middle Aged Machine Learning Electronic Health Records Acute Disease Algorithms Female Registries Hospitalization Aged
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Artificial intelligence in healthcare: past, present and future.

Stroke and vascular neurology Jun 21, 2017
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI ...
Early Diagnosis History, 21st Century History, 20th Century Therapy, Computer-Assisted Predictive Value of Tests Artificial Intelligence Humans Stroke Forecasting Data Mining Delivery of Health Care Diffusion of Innovation Prognosis Diagnosis, Computer-Assisted
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Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.

Artificial intelligence in medicine Mar 18, 2017
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the pred...
Humans Machine Learning Radiation Exposure Tomography, X-Ray Computed Cranial Irradiation Risk Factors Xerostomia Time Factors Radiographic Image Interpretation, Computer-Assisted Parotid Gland Early Diagnosis Radiotherapy Dosage Head and Neck Neoplasms Radiation Injuries Fuzzy Logic Predictive Value of Tests Bayes Theorem
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Early recognition of multiple sclerosis using natural language processing of the electronic health record.

BMC medical informatics and decision making Feb 28, 2017
BACKGROUND: Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if ...
Cohort Studies Natural Language Processing Multiple Sclerosis Early Diagnosis Aged Adult Male Middle Aged Diagnosis, Computer-Assisted Humans Electronic Health Records Female
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Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis.

Computers in biology and medicine Jan 27, 2017
BACKGROUND: When left untreated, age-related macular degeneration (AMD) is the leading cause of vision loss in people over fifty in the US. Currently it is estimated that about eight million US individuals have the intermediate stage of AMD that is o...
Humans Fluorescein Angiography Macular Degeneration Image Interpretation, Computer-Assisted Observer Variation Early Diagnosis Machine Learning Pattern Recognition, Automated Algorithms Reproducibility of Results Sensitivity and Specificity Severity of Illness Index
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