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20th International Conference on Artificial Intelligence in Medicine

20th International Conference on Artificial Intelligence in Medicine

Halifax, Canada

Submission Deadline: Monday 31 Jan 2022

Conference Dates: Jun 14, 2022 - Jun 17, 2022

Research
Impact Score 0.50

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.50
Contributing Best Scientists: 4
H5-index:
Papers published by Best Scientists 3
Research Ranking (Computer Science) 838
Research Ranking (Medicine) 64

Conference Call for Papers

Contributions to theory and methods should present or analyze novel AI theories or methodologies for solving problems in the biomedical field. They may propose new theories and methods or extensions of existing ones. In both cases, the work should demonstrate its utility for solving biomedical problems and highlight its contribution to the underlying theoretical basis. In addition, it should discuss assumptions, limitations and novelty with respect to the state of the art.

Contributions addressing systems and applications should describe the development, implementation or evaluation of innovative, AI-based tools and systems in the biomedical application domain. These papers should both link the work to underlying theory, and either analyze the potential benefits to solve biomedical problems or present empirical evidence of benefits in clinical practice.

The scope of the conference includes the following areas:

Machine learning and big data analytics,
Knowledge discovery and data mining,
Biomedical ontologies and terminologies,
Biomedical knowledge acquisition and representation,
Knowledge-based reasoning in biomedicine,
Natural language processing,
Biomedical image processing,
Document classification and information retrieval,
Bayesian networks, fuzzy logic and reasoning under uncertainty,
Temporal and spatial representation and reasoning,
Healthcare processes and workflow management,
Computerized clinical practice guidelines (CPGs) and protocols,
Signal processing,
Visual analytics in biomedicine,
Clinical decision support systems (CDSSs),
Patient engagement support (personal healthcare record),
Explainable AI (XAI) for health,
Precision medicine and health,
AI solutions for ambient assisted living, telemedicine, and e-health.

Overview

Top Research Topics at Artificial Intelligence in Medicine in Europe?

  • Artificial intelligence (31.63%)
  • Machine learning (15.76%)
  • Data mining (11.59%)

The conference mainly deals with areas of study such as Artificial intelligence, Machine learning, Data mining, Knowledge management and Information retrieval. The Artificial intelligence works, particularly on Expert system are tackled in the conference. The majority of Machine learning studies in Artificial Intelligence in Medicine in Europe are focused on the subject of Bayesian network.

The conference focuses on Knowledge management but the discussions also offer insight into other areas such as Guideline and Decision support system. The works on Information retrieval deal in particular with Ontology (information science).

What are the most cited papers published at the conference?

  • The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks (688 citations)
  • Improving Identification of Difficult Small Classes by Balancing Class Distribution (426 citations)
  • The Characteristics of a Low Temperature In Situ Shale Oil (264 citations)

Research areas of the most cited articles at Artificial Intelligence in Medicine in Europe:

The published papers generally zeroe in on subjects such as Artificial intelligence, Machine learning, Data science, Expert system and Knowledge management. The most cited articles focus on Artificial intelligence but the discussions also offer insight into other areas such as Natural language processing and Pattern recognition. While Machine learning is the focus of the conference papers, it also provides insights into the studies of Domain (software engineering), Data mining, Knowledge extraction and Decision rule.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Internal medicine
  • Machine learning

The previous edition focused in particular on these issues:

Artificial Intelligence in Medicine in Europe is organized to address concerns in the fields of Artificial intelligence, Composite material, Machine learning, Control theory and Metallurgy. Artificial intelligence research presented in the event encompasses a variety of subjects, including Disease, Computer vision and Natural language processing.

The most cited articles from the last conference are:

  • pMineR: An innovative R library for performing process mining in medicine (16 citations)
  • Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis (15 citations)
  • Method of fuzzy controller adaptation (15 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at Artificial Intelligence in Medicine in Europe (based on the number of publications) are:

  • Riccardo Bellazzi (13 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Silvana Quaglini (10 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Lucia Sacchi (8 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Annette ten Teije (6 papers) absent at the last edition,
  • Peter J. F. Lucas (6 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Artificial Intelligence in Medicine in Europe (based on the number of publications) are:

  • Novosibirsk State Technical University (26 papers) published 26 papers at the last edition,
  • University of Pavia (24 papers) published 6 papers at the last edition, 1 more than at the previous edition,
  • Belgorod State Technological University (19 papers) published 19 papers at the last edition,
  • VU University Amsterdam (10 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Radboud University Nijmegen (8 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2017 edition, 35.57% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 47.20% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.20% of all publications and 29.60% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Previous Editions

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