AIMC Topic: Research
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Machine learning on microbiome research in gastrointestinal cancer.
Journal of gastroenterology and hepatology
Apr 1, 2021
Gastrointestinal cancer maintains the highest incidence and mortality rate among all cancers globally. In addition to genetic causes, it has been reported that individuals' diet and composition of the gastrointestinal microbiome have profound impacts...
Artificial Intelligence in Cancer Research and Precision Medicine.
Cancer discovery
Apr 1, 2021
Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has...
Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: The study sought to describe the prevalence and nature of clinical expert involvement in the development, evaluation, and implementation of clinical decision support systems (CDSSs) that utilize machine learning to analyze electronic healt...
Social Robot Interventions for People with Dementia: A Systematic Review on Effects and Quality of Reporting.
Journal of Alzheimer's disease : JAD
Jan 1, 2021
BACKGROUND: Using non-pharmacological interventions is a current approach in dementia care to manage responsive behaviors, to maintain functional capacity, and to reduce emotional stress. Novel technologies such as social robot interventions might be...
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.
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
Chest radiographs are primarily employed for the screening of cardio, thoracic and pulmonary conditions. Machine learning based automated solutions are being developed to reduce the burden of routine screening on Radiologists, allowing them to focus ...
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.
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
Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditions. Being undertaken at primary healthcare centers, they require the presence of an on-premise reporting Radiologist, which is a challenge in low and...
Machine Learning Assisted Citation Screening for Systematic Reviews.
Studies in health technology and informatics
Jun 16, 2020
Evidence-based practice is highly dependent upon up-to-date systematic reviews (SR) for decision making. However, conducting and updating systematic reviews, especially the citation screening for identification of relevant studies, requires much huma...
Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis.
In vivo (Athens, Greece)
Jun 1, 2020
BACKGROUND/AIM: To evaluate the research trends in coronavirus disease (COVID-19).
[The History and Current Status of Artificial Intelligence in Radiation Technology].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jan 1, 2020
Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review.
Journal of primary care & community health
Jan 1, 2020
BACKGROUND: In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine...
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