AIMC Topic: Humans

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Governance of automated image analysis and artificial intelligence analytics in healthcare.

Clinical radiology Mar 19, 2019
The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly radiologists) will become redundant. It is still moot as to whether AI will replace radiologists in day-to-day clinical practice, but more AI applications are...
Humans Radiology Radiologists Artificial Intelligence Image Processing, Computer-Assisted Professional Role
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Elucidating the druggability of the human proteome with eFindSite.

Journal of computer-aided molecular design Mar 19, 2019
Identifying the viability of protein targets is one of the preliminary steps of drug discovery. Determining the ability of a protein to bind drugs in order to modulate its function, termed the druggability, requires a non-trivial amount of time and r...
Humans Software Drug Design Drug Discovery 5-Aminolevulinate Synthetase Supervised Machine Learning Serine Proteases Binding Sites Protein Binding Proteome Proteins
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Comparison of long-term outcomes of laparoscopic and robot-assisted laparoscopic partial nephrectomy.

The Kaohsiung journal of medical sciences Mar 19, 2019
In this study, we compared the long-term oncological and functional outcomes of laparoscopic partial nephrectomy (LPN) and robot-assisted laparoscopic partial nephrectomy (RAPN) performed in the treatment of renal tumors. The data of 142 patients (RA...
Middle Aged Time Factors Treatment Outcome Humans Female Male Laparoscopy Kidney Neoplasms Multivariate Analysis Nephrectomy Follow-Up Studies Regression Analysis Robotics
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Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning.

Molecules (Basel, Switzerland) Mar 19, 2019
BACKGROUND: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and effective care to paediatric patients with Ewing sarcoma-the second most common paediatric malignant bone tumour. Fourier transform infrared (FTIR) sp...
Bone Neoplasms Spectrophotometry, Infrared Sarcoma, Ewing Adult Adolescent Child, Preschool Prognosis Neoadjuvant Therapy Retrospective Studies Humans Spectroscopy, Fourier Transform Infrared Young Adult Child Machine Learning Treatment Outcome
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Machine learning in medicine: a practical introduction.

BMC medical research methodology Mar 19, 2019
BACKGROUND: Following visible successes on a wide range of predictive tasks, machine learning techniques are attracting substantial interest from medical researchers and clinicians. We address the need for capacity development in this area by providi...
Algorithms Female Sensitivity and Specificity Neural Networks, Computer Machine Learning Software Breast Neoplasms Diagnosis, Computer-Assisted Support Vector Machine Humans
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LSTM Model for Prediction of Heart Failure in Big Data.

Journal of medical systems Mar 19, 2019
The combination of big data and deep learning is a world-shattering technology that can make a great impact on any industry if used in a proper way. With the availability of large volume of health care datasets and progressions in deep learning techn...
Humans Neural Networks, Computer Big Data Heart Failure Electronic Health Records Deep Learning
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Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users.

NeuroImage. Clinical Mar 19, 2019
BACKGROUND: In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Most studies examining the neurobiology of AUD treat individuals with this disorder as a homogeneous group; however, the theories of the neurocircuitry ...
Nerve Net Middle Aged Humans Severity of Illness Index Young Adult Models, Neurological Machine Learning Magnetic Resonance Imaging Adult Alcoholism Female Male Connectome
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Augmented Intelligence in Dermatology: Fantasy or Future?

Dermatology (Basel, Switzerland) Mar 19, 2019
Algorithms Skin Diseases Dermatology Humans Artificial Intelligence
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A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data.

PloS one Mar 19, 2019
In this paper, we introduce a scalable machine learning approach accompanied by open-source software for identifying violent and peaceful forms of political protest participation using social media data. While violent political protests are statistic...
Politics Social Participation Female Social Media Humans Young Adult Male Data Interpretation, Statistical Aged Machine Learning Adult Violence Middle Aged Software Adolescent
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Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN.

IEEE journal of biomedical and health informatics Mar 18, 2019
Cell classification, especially that of white blood cells, plays a very important role in the field of diagnosis and control of major diseases. Compared to traditional optical microscopic imaging, hyperspectral imagery, combined with both spatial and...
Image Processing, Computer-Assisted Cytological Techniques Microscopy Blood Cells Wavelet Analysis Humans Neural Networks, Computer Algorithms
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