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Artificial Intelligence in Medicine

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  1. Fundamentals of clinical methodology: 2. Etiology.

    Artificial Intelligence in Medicine 12(3):227 (1998) PMID 9626958

    The concept of etiology is analyzed and the possibilities and limitations of deterministic, probabilistic, and fuzzy etiology are explored. Different kinds of formal structures for the relation of causation are introduced which enable us to explicate the notion of cause on qualitative, comparative,...
  2. Distributed cognition and knowledge-based controlled medical terminologies.

    Artificial Intelligence in Medicine 12(2):153 (1998) PMID 9520222

    Controlled medical terminologies (CMTs) are playing central roles in clinical information systems and medical knowledge resource applications. As these terminologies grow, they are able to support more complex tasks but require more intensive efforts to create and maintain them. Several terminologie...
  3. Dependency parsing for medical language and concept representation.

    Artificial Intelligence in Medicine 12(1):77 (1998) PMID 9475953

    We present a PROLOG-based formalization of dependency grammar that can accommodate conceptual structures in its dependency rules. First results indicate that this formalization provides an operational basis for the implementation of medical language parsers and for the design of medical concept repr...
  4. Cross-hospital portability of information extraction of cancer staging information.

    Artificial Intelligence in Medicine 62(1):11 (2014) PMID 25001545

    We address the task of extracting information from free-text pathology reports, focusing on staging information encoded by the TNM (tumour-node-metastases) and ACPS (Australian clinico-pathological stage) systems. Staging information is critical for diagnosing the extent of cancer in a patient and f...
  5. Recommendations for the ethical use and design of artificial intelligent care providers.

    Artificial Intelligence in Medicine 62(1):1 (2014) PMID 25059820

    This paper identifies and reviews ethical issues associated with artificial intelligent care providers (AICPs) in mental health care and other helping professions. Specific recommendations are made for the development of ethical codes, guidelines, and the design of AICPs. Current developments in the...
  6. Adaptation of machine translation for multilingual information retrieval in the medical domain.

    Artificial Intelligence in Medicine 61(3):165 (2014) PMID 24680188

    We investigate machine translation (MT) of user search queries in the context of cross-lingual information retrieval (IR) in the medical domain. The main focus is on techniques to adapt MT to increase translation quality; however, we also explore MT adaptation to improve effectiveness of cross-lingu...
  7. Advanced portable remote monitoring system for the regulation of treadmill running exercises.

    Artificial Intelligence in Medicine 61(2):119 (2014) PMID 24877618

    This study aims to develop an advanced portable remote monitoring system to supervise high intensity treadmill exercises. The supervisory level of the developed hierarchical system is implemented on a portable monitoring device (iPhone/iPad) as a client application, while the real-time control of tr...
  8. The readiness of SNOMED problem list concepts for meaningful use of electronic health records.

    Artificial Intelligence in Medicine 58(2):73 (2013) PMID 23602702

    We wish to determine if inconsistencies appearing in SCT, in general, occur as frequently in the PL, and whether further quality-assurance (QA) efforts on the PL are required. A study is conducted where two random samples of SCT concepts are compared. The first consists of concepts strictly from the...
  9. Inconsistency as a diagnostic tool in a society of intelligent agents.

    Artificial Intelligence in Medicine 55(3):137 (2012) PMID 22622270

    We are developing a cognitive architecture, OntoAgent, that supports the creation and deployment of intelligent agents capable of simulating human-like abilities. The agents, which have a simulated mind and, if applicable, a simulated body, are intended to operate as members of multi-agent teams fea...
  10. Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples

    Artificial Intelligence in Medicine 45(1):63 (2009) PMID 19185475

    We propose a new method to build scoring functions able to make reliable predictions, though functions whose induction only requires records from a small set of patients described by a few variables....