AIMC Topic: Computers

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A Survey on Machine Learning and Deep Learning-based Computer-Aided Methods for Detection of Polyps in CT Colonography.

Current medical imaging Jan 1, 2021
BACKGROUND: Colon cancer generally begins as a neoplastic growth of tissue, called polyps, originating from the inner lining of the colon wall. Most colon polyps are considered harmless but over the time, they can evolve into colon cancer, which, whe...
Machine Learning Deep Learning Early Detection of Cancer Colonography, Computed Tomographic Computers Sensitivity and Specificity
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Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography.

BMJ health & care informatics Nov 1, 2020
BACKGROUND: Up to half of all musculoskeletal injuries are investigated with plain radiographs. However, high rates of image interpretation error mean that novel solutions such as artificial intelligence (AI) are being explored.
Perception Radiography Patients Computers Tomography, X-Ray Computed Male Surveys and Questionnaires Female Humans Artificial Intelligence
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Artificial immune intelligence-inspired dynamic real-time computer forensics model.

Mathematical biosciences and engineering : MBE Oct 22, 2020
Dynamic computer forensics is a popular area in computer forensics that combines network intrusion technology with computer forensics technology. A novel dynamic computer forensics model is proposed based on an artificial immune system. Simulating th...
Computer Simulation Computer Systems Algorithms Computers Memory Artificial Intelligence
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Using high-dimensional features for high-accuracy pulse diagnosis.

Mathematical biosciences and engineering : MBE Oct 9, 2020
Accurate pulse diagnosis is often based on extensive clinical experience. Recently, modern computer-aided pulse diagnostic methods have been developed to help doctors to quickly determine patients' physiological conditions. Most pulse diagnostic meth...
Neural Networks, Computer Algorithms Computers Humans Principal Component Analysis Heart Rate
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Can computers conceive the complexity of cancer to cure it? Using artificial intelligence technology in cancer modelling and drug discovery.

Mathematical biosciences and engineering : MBE Sep 25, 2020
Drug discovery and the development of safe and effective therapeutics is an intricate procedure, further complicated in the context of cancer research by the inherent heterogeneity and complexity of the disease. To address the difficulties of identif...
Machine Learning Computers Neoplasms Drug Discovery Technology Artificial Intelligence
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Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population.

Chinese medical journal Sep 5, 2020
BACKGROUND: Diagnoses of Skin diseases are frequently delayed in China due to lack of dermatologists. A deep learning-based diagnosis supporting system can facilitate pre-screening patients to prioritize dermatologists' efforts. We aimed to evaluate ...
Dermoscopy Deep Learning Dermatologists China Melanoma Skin Neoplasms Humans Computers
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Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual Explanations.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Detection, diagnosis, and removal of colorectal neoplasms are well-accepted colorectal cancer prevention methods. Although promising endoscopic imaging techniques including narrow-band imaging have been developed, these techniques are operator-depend...
Colorectal Neoplasms Colonoscopy Deep Learning Neural Networks, Computer Computers Humans
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[Not Available].

Praxis Jul 1, 2020
Humans Artificial Intelligence Intelligence Computers Physicians
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Computer vision's potential to improve health care.

Lancet (London, England) May 16, 2020
Patient Harm Electronic Health Records Clinical Decision-Making Humans Delivery of Health Care Intensive Care Units Algorithms Computers Artificial Intelligence Medicare Surgeons Video Recording United States Vision, Ocular
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MUFold-SSW: a new web server for predicting protein secondary structures, torsion angles and turns.

Bioinformatics (Oxford, England) Feb 15, 2020
MOTIVATION: Protein secondary structure and backbone torsion angle prediction can provide important information for predicting protein 3D structures and protein functions. Our new methods MUFold-SS, MUFold-Angle, MUFold-BetaTurn and MUFold-GammaTurn,...
Protein Structure, Secondary Proteins Neural Networks, Computer Amino Acid Sequence Computers
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