AIMC Topic: Decision Support Systems, Clinical

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Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.

Journal of medical imaging and radiation sciences
Progress in computing power and advances in medical imaging over recent decades have culminated in new opportunities for artificial intelligence (AI), computer vision, and using radiomics to facilitate clinical decision-making. These opportunities ar...

Artificial intelligence: Implications for the future of work.

American journal of industrial medicine
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics, cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer engineering. The modern field of AI began at a small summer w...

The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Artificial intelligence in medicine
Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently available AI systems do not interact with a patient, e.g., for anamnesis, and thus are only used by the physicians for predictions in diagnosis or prognosis. ...

Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.

BMC medical informatics and decision making
BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to automate the identification o...

Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review.

Neurosurgical review
Machine learning (ML) involves algorithms learning patterns in large, complex datasets to predict and classify. Algorithms include neural networks (NN), logistic regression (LR), and support vector machines (SVM). ML may generate substantial improvem...

Contributions on Clinical Decision Support from the 2018 Literature.

Yearbook of medical informatics
OBJECTIVES: To summarize recent research and select the best papers published in 2018 in the field of computerized clinical decision support for the Decision Support section of the International Medical Informatics Association (IMIA) yearbook.

Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey.

Yearbook of medical informatics
OBJECTIVES: This survey analyses the latest literature contributions to clinical decision support systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt Artificial Intelligence (AI) techniques in a broad sense. The goa...

Clinical Information Systems and Artificial Intelligence: Recent Research Trends.

Yearbook of medical informatics
OBJECTIVES: This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI)...