AIMC Topic: Diagnosis, Computer-Assisted

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Using Neural Networks for Diagnosing in Dermatology.

Studies in health technology and informatics Jan 1, 2019
The paper deals with neural networks for decision support in diagnosing in dermatology. There were several iterations during development. We classified six diseases using ANN: (1) Psoriasis, (2) Seborrheic dermatitis, (3) Lichen planus, (4) Pityriasi...
Dermatology Dermatitis, Seborrheic Lichen Planus Neural Networks, Computer Diagnosis, Computer-Assisted Psoriasis Diagnosis, Differential Humans
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Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.

The journal of prevention of Alzheimer's disease Jan 1, 2019
BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (AD) remains a major challenge, with demand for trial participants at an all-time high. The AD treatment R and D pipeline includes around 112 agents. I...
Prodromal Symptoms Aged, 80 and over Male Humans Diagnosis, Computer-Assisted Machine Learning Middle Aged Patient Selection Algorithms Alzheimer Disease Female Early Diagnosis Aged
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Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene expression through post-transcriptional silencing. Differential expression observed in miRNAs, combined with advancements in deep learning (DL), have the potential to improve...
Sequence Analysis, RNA Gene Expression Regulation, Neoplastic MicroRNAs High-Throughput Nucleotide Sequencing Diagnosis, Computer-Assisted Deep Learning Computational Biology Molecular Sequence Annotation Gene Ontology Databases, Nucleic Acid Humans Neural Networks, Computer Female Male Neoplasms Gene Expression Profiling
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Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The proliferation of healthcare data has brought the opportunities of applying data-driven approaches, such as machine learning methods, to assist diagnosis. Recently, many deep learning methods have been shown with impressive successes in predicting...
Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Deep Learning Humans Medical Informatics Applications Computational Biology Medical Informatics Medical Informatics Computing
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A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: Added value for the inexperienced breast radiologist.

Medicine Jan 1, 2019
To evaluate the value of the computer-aided diagnosis (CAD) program applied to diagnostic breast ultrasonography (US) based on operator experience.US images of 100 breast masses from 91 women over 2 months (from May to June 2015) were collected and r...
ROC Curve Female Aged Follow-Up Studies Diagnosis, Computer-Assisted Young Adult Breast Humans Radiologists Adult Clinical Competence Artificial Intelligence Observer Variation Ultrasonography, Mammary Retrospective Studies Adolescent Sensitivity and Specificity Breast Neoplasms Middle Aged
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Applications of Deep Learning and Artificial Intelligence in Retina.

International ophthalmology clinics Jan 1, 2019
Deep Learning Retina Retinal Diseases Diagnostic Techniques, Ophthalmological Humans Diagnosis, Computer-Assisted
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Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy.

World journal of gastroenterology Dec 7, 2018
Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many years, and recent developments in computer hardware have enabled the narrower area of machine learning to equip clinicians with potentially useful too...
Endoscopy, Gastrointestinal Observer Variation Colorectal Neoplasms Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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Machine learning methods for automatic pain assessment using facial expression information: Protocol for a systematic review and meta-analysis.

Medicine Dec 1, 2018
INTRODUCTION: Prediction of pain using machine learning algorithms is an emerging field in both computer science and clinical medicine. Several machine algorithms were developed and validated in recent years. However, the majority of studies in this ...
Humans Machine Learning Pattern Recognition, Automated Diagnosis, Computer-Assisted Facial Expression Pain Measurement Systematic Reviews as Topic Meta-Analysis as Topic
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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.

The American journal of surgical pathology Dec 1, 2018
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises the possibility for computer-assisted diagnostics in pathology ...
Predictive Value of Tests Biopsy Humans Workflow Pathology, Clinical Reproducibility of Results Female Deep Learning Image Interpretation, Computer-Assisted Neoplasm Micrometastasis Breast Neoplasms Observer Variation Time Factors Pattern Recognition, Automated Diagnosis, Computer-Assisted Proof of Concept Study Lymph Nodes Lymphatic Metastasis
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Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration.

JAMA ophthalmology Nov 1, 2018
This study uses fundus images from a national data set to assess 2 deep learning methods for referability classification of age-related macular degeneration.
Predictive Value of Tests Macular Degeneration Aged Ophthalmologists Humans False Positive Reactions Sensitivity and Specificity Neural Networks, Computer Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning
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