AI Medical Compendium Topic

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Knowledge

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The epistemological wheel turns: AI's tipping point is here.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology

Converting disease maps into heavyweight ontologies: general methodology and application to Alzheimer's disease.

Database : the journal of biological databases and curation
Omics technologies offer great promises for improving our understanding of diseases. The integration and interpretation of such data pose major challenges, calling for adequate knowledge models. Disease maps provide curated knowledge about disorders'...

COVID-19 and the epistemology of epidemiological models at the dawn of AI.

Annals of human biology
The models used to estimate disease transmission, susceptibility and severity determine what epidemiology can (and cannot tell) us about COVID-19. These include: 'model organisms' chosen for their phylogenetic/aetiological similarities; multivariable...

Searching for Models for Psychological Science: A Possible Contribution of Simulation.

Integrative psychological & behavioral science
The problem of the theoretical precariousness of psychology requires defining, at an epistemological level, its concepts and languages and the use of models for finding core concepts and building more or less 'hard' theories. After reviewing some mai...

An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model.

Studies in health technology and informatics
A diagnostic model of general diseases could help general practitioners to decrease misdiagnoses and reduce workload. In this paper, we developed a neural network model that can classify potential diagnoses among 100 selected common diseases based on...

Evaluating the Validity of a Knowledge-Based System for Proactive Knowledge Transfer for Caregiving Relatives.

Studies in health technology and informatics
The evaluation of the validity of a knowledge-based system is of great importance during its development. It determines whether the system represents the experts' knowledge correctly. This is highly important, but also particularly difficult, if the ...

Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.

The Hastings Center report
Although decision-making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of quest...

Leveraging prior knowledge for protein-protein interaction extraction with memory network.

Database : the journal of biological databases and curation
Automatically extracting protein-protein interactions (PPIs) from biomedical literature provides additional support for precision medicine efforts. This paper proposes a novel memory network-based model (MNM) for PPI extraction, which leverages prior...

The Role of Axiomatically-Rich Ontologies in Transforming Medical Data to Knowledge.

Studies in health technology and informatics
In the biomedical domain, there exist a number of common data models (CDM) that have experienced wide uptake. However, none of these has emerged as the common model. Recently, the demand for integrating and analyzing increasingly large data sets in c...