AIMC Topic: Humans

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Construction and optimization of a 'NG Morbidostat' - An automated continuous-culture device for studying the pathways towards antibiotic resistance in .

F1000Research Apr 26, 2019
To obtain a detailed picture of the dynamics of antibiotic resistance development in , we built a morbidostat according to the protocol of Toprak ., adjusted to the specific characteristics required for the growth of . In this article we describe the...
Gonorrhea Automation Drug Resistance, Bacterial Azithromycin Neisseria gonorrhoeae Humans Anti-Bacterial Agents
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Combining Haptic and Bang-Bang Braking Actions for Passive Robotic Walker Path Following.

IEEE transactions on haptics Apr 26, 2019
Robotic walkers are a promising solution for physical and cognitive support to older adults. This paper proposes a low cost path following strategy combining the advantages of a simple mechanical braking guidance, such as safety, passivity, and a low...
Touch Perception Touch Feedback, Sensory Vibration Walkers Robotics Equipment Design Walking Humans User-Computer Interface
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JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.

IEEE transactions on bio-medical engineering Apr 25, 2019
OBJECTIVE: The purpose of this paper is to propose a novel algorithm for joint optic disc and cup segmentation, which aids the glaucoma detection.
Humans Neural Networks, Computer Databases, Factual Image Interpretation, Computer-Assisted Optic Disk Glaucoma Algorithms
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ASO Author Reflections: The Role of Robot-Assisted Ivor Lewis Esophagectomy for Esophageal Cancer.

Annals of surgical oncology Apr 25, 2019
Robotics Humans Esophageal Neoplasms Carcinoma, Squamous Cell Esophagectomy
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Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.

IEEE transactions on medical imaging Apr 25, 2019
Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applications. Real-time feedback of acoustic shadows can guide sonographers to a standardized diagnostic viewing plane with minimal artifacts and can provid...
Humans Female Ultrasonography, Prenatal Deep Learning Algorithms Pregnancy Fetus Image Processing, Computer-Assisted Supervised Machine Learning
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Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound.

IEEE transactions on medical imaging Apr 25, 2019
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developing such automatic solutions remains very challenging due to the missin...
Prostatic Neoplasms Prostate Neural Networks, Computer Male Ultrasonography Imaging, Three-Dimensional Deep Learning Humans
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An unsupervised EEG decoding system for human emotion recognition.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2019
Emotion plays a vital role in human health and many aspects of life, including relationships, behaviors and decision-making. An intelligent emotion recognition system may provide a flexible method to monitor emotion changes in daily life and send war...
Electroencephalography Recognition, Psychology Emotions Humans Unsupervised Machine Learning
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Role of Artificial Intelligence within the Telehealth Domain.

Yearbook of medical informatics Apr 25, 2019
OBJECTIVES: This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, base...
Quality Improvement Monitoring, Physiologic Telemedicine Humans Artificial Intelligence
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Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications.

Yearbook of medical informatics Apr 25, 2019
OBJECTIVE: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources. The objective of this paper is to identify c...
Community-Based Participatory Research Medical Informatics Clinical Trials as Topic Artificial Intelligence Wearable Electronic Devices Social Media Telemedicine Humans
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A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.

Mathematical biosciences Apr 25, 2019
Protein-protein interactions (PPIs) play a crucial role in the life-sustaining activities of organisms. Although various methods for the prediction of PPIs have been developed in the past decades, their robustness and prediction accuracy need to be i...
Humans Animals Computational Biology Neural Networks, Computer Amino Acid Sequence Protein Interaction Mapping
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