[AISWorld] AIM at EPIA 2024 - Call for late breaking papers | Deadline: May, 31
Filipe Portela
cfp at dsi.uminho.pt
Tue May 21 05:58:12 EDT 2024
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CALL FOR LATE BREAKING PAPERS
EPIA 2024 - 23rd EPIA Internacional Conference on Artificial Intelligence
Thematic Track AIM - Artificial Intelligence in Medicine
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September 4-6, 2024
Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Viana
do Castelo
https://epia2024.pt/
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The EPIA Conference on Artificial Intelligence (AI) is a
well-established European conference in the field of AI. The 23rd
edition, EPIA 2024, will take place in Viana do Castelo from 3rd to 6th
of September, 2024. As in previous editions, this international
conference is hosted with the patronage of the Portuguese Association
for Artificial Intelligence (APPIA). The purpose of this conference is
to promote research in all areas of AI, covering both
theoretical/foundational issues and applications, and the scientific
exchange among researchers, engineers, and practitioners in related
disciplines.
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Important Dates
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Paper submission deadline: May 31, 2024 (late braking papers)
Notification of paper acceptance: Jun 20, 2024
Conference dates: September 4-6, 2024
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AIM - Artificial Intelligence in Medicine
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Every day medicine is facing new challenges: new diseases, cost
reductions, new therapeutics, rapid and accurate decisions, new
techniques and technologies. Artificial Intelligence (AI) is playing an
important role in the decision making process, in the way the data of
the patients are collected, treated, processed, anticipating and
avoiding critical situations, as well to test and simulate new
treatments and devices. The big question to be answered is: How
Artificial Intelligence can help to overcome these challenges and
improve the efficiency of medicine? Data Science, Sensing,
Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can
contribute with new artifacts and new knowledge for health
professionals. AI aims to improve the usability of programs for
assisting physicians in figuring out what is wrong with the patients and
provide new solutions to help making better decisions. AI systems are
intended to support healthcare practitioners in the normal course of
their duties, assisting with tasks that rely on the manipulation of data
and knowledge. In particular, these systems have for example the
capacity to learn, leading to the discovery of new phenomena and the
creation of medical knowledge improving human health and longevity. This
track promotes a forum to discuss and present emergent topics, new
projects and ideas about how AI can contribute to the field of Medicine
and, improve patient conditions. By bringing together researchers from
two distinct areas is expected to produce new scientific and technical
knowledge in a particular area as is medicine. Special attention will be
given to the social impact/gain of the AI contributions in medicine.
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TOPICS OF INTEREST
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Innovative and exciting works are welcome in areas including but not
limited to:
Medical methodologies, architectures, environments and systems.
• Agents for information retrieval;
• AI in Medical Education and Clinical Management;
• Wellbeing and lifestyle support;
• Interoperability, Security, Pervasiveness, Ubiquity and Cloud
Computing in Medicine;
• Methodological, philosophical, ethical, and social issues of AI in
Medicine;
• Pervasive Healthcare Environments;
• Software architectures.
Knowledge engineering and Decision Support Systems:
• AI-based clinical decision making and Clinical Decision Support Systems;
• Generative AI;
• Automated reasoning, Case-Based Reasoning or Reasoning with medical
knowledge;
• Business Intelligence in Health Care;
• Clinical Data Mining;
• Data Streaming;
• Diagnostic assistance;
• Expert, agent-based or knowledge-based systems;
• Medical knowledge engineering;
• Intelligent / Cognitive Decision Support Systems in Medicine.
Medical Applications and Devices
• Computational intelligence in bio- and clinical medicine;
• Electronic Health Records (eHealth);
• Image recognition and interpretation;
• Intelligent devices and instruments;
• Sensor-based applications;
• Telemedicine and mHealth solutions;
• mIOT;
• Ubiquitous devices in the storage, update, and transmission of patient
data;
• Usability and acceptability.
AI in Healthcare Information Systems
• Public Health Intelligent Systems;
• Prescriptive Solutions;
• Autonomous systems to support independent living;
• Healthcare System Based on Cloud Computing;
• Intelligent Healthcare information systems;
• Pervasive Information Systems;
• Pervasiveness and Security in Clinical Systems;
• Smart homes, hospitals and Intelligent Systems;
• Simulation Computer systems.
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Submission and Reviewing
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- All papers should be submitted in PDF format through the EPIA 2024
EasyChair submission page https://easychair.org/my/conference?conf=epia2024
- Prospective authors should select the thematic track to which their
paper is to be submitted.
The papers should be prepared according to the Springer LNAI format,
with a maximum of 12 pages. However, you should consider any
track-specific details in your submission.
- Submitted papers will be subject to a double-blind review process and
will be peer-reviewed by at least three members of the respective track
Program Committee. It is the responsibility of the authors to remove
names and affiliations from the submitted papers, and to take reasonable
care to assure anonymity during the review process.
- Authors should consult Springer’s authors’ guidelines and use their
proceedings templates, either for LaTeX or for Word, for the preparation
of their papers. Springer encourages authors to include their ORCIDs in
their papers. In addition, the corresponding author of each paper,
acting on behalf of all of the authors of that paper, must complete and
sign a Consent-to-Publish form. The corresponding author signing the
copyright form should match the corresponding author marked on the
paper. Once the files have been sent to Springer, changes relating to
the authorship of the papers cannot be made.
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Proceedings and Presentations
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- Accepted papers will be included in the conference proceedings (as in
previous editions, the publication of a volume of Springer's
LNAI-Lecture Notes in Artificial Intelligence is expected), as long as
at least one author is registered in EPIA 2024 by the deadline advance
registration.
- EPIA 2024 proceedings are indexed in Thomson Reuters ISI Web of
Science, Scopus, DBLP and Google Scholar.
- Each accepted paper must be presented by one of the authors in a track
session.
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Awards
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The conference will grant the following awards:
* Best Paper Award, for the best research paper presented at the conference
* Best Application Paper, for the best application paper presented at
the conference
* Best Student Paper Award, for the best research paper presented at the
conference where the first author is a student (to confirm)
Important: only papers that have been submitted to a thematic track and
presented at the conference will be eligible for these awards.
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ORGANIZING COMMITTEE
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* Manuel Filipe Santos, University of Minho, PT (contact person)
mfs at dsi.uminho.pt
* Carlos Filipe Portela, University of Minho, PT cfp at dsi.uminho.pt
* Allan Tucker, Brunel University London, UK, allan.tucker at brunel.ac.uk
* Manuel Fernandez Delgado, University of Santiago, SP,
manuel.fernandez.delgado at usc.es
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