Literature DB >> 18790621

The coming of age of artificial intelligence in medicine.

Vimla L Patel1, Edward H Shortliffe, Mario Stefanelli, Peter Szolovits, Michael R Berthold, Riccardo Bellazzi, Ameen Abu-Hanna.   

Abstract

This paper is based on a panel discussion held at the Artificial Intelligence in Medicine Europe (AIME) conference in Amsterdam, The Netherlands, in July 2007. It had been more than 15 years since Edward Shortliffe gave a talk at AIME in which he characterized artificial intelligence (AI) in medicine as being in its "adolescence" (Shortliffe EH. The adolescence of AI in medicine: will the field come of age in the '90s? Artificial Intelligence in Medicine 1993;5:93-106). In this article, the discussants reflect on medical AI research during the subsequent years and characterize the maturity and influence that has been achieved to date. Participants focus on their personal areas of expertise, ranging from clinical decision-making, reasoning under uncertainty, and knowledge representation to systems integration, translational bioinformatics, and cognitive issues in both the modeling of expertise and the creation of acceptable systems.

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Mesh:

Year:  2008        PMID: 18790621      PMCID: PMC2752210          DOI: 10.1016/j.artmed.2008.07.017

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  23 in total

Review 1.  Predictive data mining in clinical medicine: current issues and guidelines.

Authors:  Riccardo Bellazzi; Blaz Zupan
Journal:  Int J Med Inform       Date:  2006-12-26       Impact factor: 4.046

2.  Creation and implications of a phenome-genome network.

Authors:  Atul J Butte; Isaac S Kohane
Journal:  Nat Biotechnol       Date:  2006-01       Impact factor: 54.908

3.  Knowledge-based data analysis and interpretation.

Authors:  Blaz Zupan; John H Holmes; Riccardo Bellazzi
Journal:  Artif Intell Med       Date:  2006-05-11       Impact factor: 5.326

4.  Interacting agents through a web-based health serviceflow management system.

Authors:  Giorgio Leonardi; Silvia Panzarasa; Silvana Quaglini; Mario Stefanelli; Wil M P van der Aalst
Journal:  J Biomed Inform       Date:  2006-12-19       Impact factor: 6.317

5.  Preparing for change: medical informatics international initiatives for health care and biomedical research.

Authors:  Reinhold Haux
Journal:  Comput Methods Programs Biomed       Date:  2007-12       Impact factor: 5.428

6.  Intelligent data analysis in biomedicine.

Authors:  John H Holmes; Niels Peek
Journal:  J Biomed Inform       Date:  2007-10-12       Impact factor: 6.317

Review 7.  Translational cognition for decision support in critical care environments: a review.

Authors:  Vimla L Patel; Jiajie Zhang; Nicole A Yoskowitz; Robert Green; Osman R Sayan
Journal:  J Biomed Inform       Date:  2008-02-12       Impact factor: 6.317

Review 8.  The socio-organizational age of artificial intelligence in medicine.

Authors:  M Stefanelli
Journal:  Artif Intell Med       Date:  2001-08       Impact factor: 5.326

9.  Guideline-based careflow systems.

Authors:  S Quaglini; M Stefanelli; A Cavallini; G Micieli; C Fassino; C Mossa
Journal:  Artif Intell Med       Date:  2000-08       Impact factor: 5.326

10.  Improving compliance to guidelines through workflow technology: implementation and results in a stroke unit.

Authors:  Silvia Panzarasa; Silvana Quaglini; Giuseppe Micieli; Simona Marcheselli; Mauro Pessina; Corrado Pernice; Anna Cavallini; Mario Stefanelli
Journal:  Stud Health Technol Inform       Date:  2007
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  75 in total

1.  Data analysis and data mining: current issues in biomedical informatics.

Authors:  R Bellazzi; M Diomidous; I N Sarkar; K Takabayashi; A Ziegler; A T McCray
Journal:  Methods Inf Med       Date:  2011       Impact factor: 2.176

Review 2.  The increasing value of eHealth in the delivery of patient-centred cancer care.

Authors:  Frank J Penedo; Laura B Oswald; Joshua P Kronenfeld; Sofia F Garcia; David Cella; Betina Yanez
Journal:  Lancet Oncol       Date:  2020-05       Impact factor: 41.316

3.  A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

Authors:  Gerald C Gannod; Katherine M Abbott; Kimberly Van Haitsma; Nathan Martindale; Alexandra Heppner
Journal:  Gerontologist       Date:  2019-01-09

Review 4.  Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings.

Authors:  Monique W M Jaspers; Marian Smeulers; Hester Vermeulen; Linda W Peute
Journal:  J Am Med Inform Assoc       Date:  2011-03-21       Impact factor: 4.497

5.  ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE.

Authors:  Roxanna Daneshjou; Lukasz Kidzinski; Olga Afanasiev; Jonathan H Chen
Journal:  Pac Symp Biocomput       Date:  2020

6.  Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE.

Authors:  Roxana Daneshjou; Lukasz Kidzinski; Olga Afanasiev; Jonathan H Chen
Journal:  Pac Symp Biocomput       Date:  2020

7.  Sperm quality of rats exposed to difenoconazole using classical parameters and surface-enhanced Raman scattering: classification performance by machine learning methods.

Authors:  Viviane Ribas Pereira; Danillo Roberto Pereira; Kátia Cristina de Melo Tavares Vieira; Vitor Pereira Ribas; Carlos José Leopoldo Constantino; Patrícia Alexandra Antunes; Ana Paula Alves Favareto
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-07       Impact factor: 4.223

8.  A causal model for fluctuating sugar levels in diabetes patients.

Authors:  Kinzang Chhogyal; Abhaya Nayak; Rolf Schwitter; Abdul Sattar
Journal:  Australas Med J       Date:  2012-09-30

Review 9.  Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.

Authors:  B Middleton; D F Sittig; A Wright
Journal:  Yearb Med Inform       Date:  2016-08-02

Review 10.  Future perspectives: cancer metastases.

Authors:  Stanley P Leong; Jonathan S Zager
Journal:  Clin Exp Metastasis       Date:  2018-07-23       Impact factor: 5.150

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