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<div>INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)</div>
<div>4 - 6 September 2024, Swansea, UK</div>
<div>https://aiih.cc</div>
<div>(2nd CALL FOR PAPERS)</div>
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<div>Submission to AIiH 2024 is now open, with submission deadline the 12th of April. AIiH 2024 will feature 7 special sessions (https://aiih.cc/special-sessions/), each of which is dedicated to highlighting specific challenges and developments that are timely
and of particular importance and interest. AIiH 2024 is a single track conference with oral and poster presentations and will include a number of keynote presentations. Accepted full papers will be included the conference proceedings, published by Springer
Lecture Notes in Computer Science.</div>
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<div>AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a
wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in
turn we hope to influence the research, technology adoption, and decision making in healthcare.</div>
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<div>TOPICS OF INTEREST</div>
<div>The conference welcomes submissions of novel research work in the following areas:</div>
<div>- Ethics of AI in Healthcare</div>
<div>- Predictive Analytics in Healthcare</div>
<div>- AI driven proactive care and predictive intervention</div>
<div>- AI driven early diagnosis and prevention</div>
<div>- Machine and deep learning approaches for health data</div>
<div>- Medical signal and image processing</div>
<div>- AI-aided medical imaging (CT, MRI, ultrasound, histopathology, etc.)</div>
<div>- Digital and virtual pathology / neurology</div>
<div>- AI in Pharmacology: drug discovery and drug development</div>
<div>- AI driven Digital Twinning in Oncology/Medicine</div>
<div>- Precision Medicine and AI</div>
<div>- AI for drug screening and discovery</div>
<div>- AI led personalised healthcare</div>
<div>- AI-aided large-scale cohort data analyses</div>
<div>- Patient-centred AI design</div>
<div>- Assisted living technology</div>
<div>- Healthcare workflow optimisation and automation</div>
<div>- AI driven robotics for healthcare</div>
<div>- AI in mental health</div>
<div>- Patient data and privacy</div>
<div>- AI in proactive health management</div>
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<div>KEYNOTE SPEAKERS</div>
<div>AIiH 2024 invites leading researchers in the field to present their work at the conference. We are grateful to the following speakers who have agreed to give keynote lectures at the conference.</div>
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<div>Prof. Yulan He</div>
<div>Kings College London</div>
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<div>Dr. Timothy Rittman</div>
<div>Cambridge University</div>
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<div>Dr. Konstantinos Kamnitsas</div>
<div>Oxford University</div>
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<div>Prof. Jacques Fleuriot</div>
<div>Edinburgh University</div>
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<div>SPECIAL SESSIONS</div>
<div>- Intelligent Systems for Healthcare</div>
<div>- Data-driven Modelling and Digital Twins in Oncology: Implications in Experimental design and Clinical decision making</div>
<div>- Advances in Vision-Based Monitoring of the Elderly for a Smart Home</div>
<div>- Developing Responsible AI on Sensitive Healthcare Data</div>
<div>- Harnessing Data-Driven Intelligent Systems to Transform Rare Disease Patient Journeys</div>
<div>- Security Challenges and Innovative Solutions: Harnessing AI to Safeguard IoT in Healthcare</div>
<div>- Leveraging Emerging AI Paradigms in Biomedical Healthcare</div>
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<div>PAPER SUBMISSION</div>
<div>Authors are invited to submit full-length high-quality papers in both theory and/or application areas that are closely relevant to the conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation.
All full papers will be reviewed “doubly blind“ by three members of our international programme committee. </div>
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<div>Paper submission instructions are available at the conference website: https://aiih.cc/paper-submission/</div>
<div>Paper submission site is now open: https://cmt3.research.microsoft.com/AIiH2024/Submission/Index</div>
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<div>IMPORTANT DATES</div>
<div>Submission deadline:<span class="Apple-tab-span" style="white-space: pre;"> </span>
Friday 12 April 2024</div>
<div>Author notification:<span class="Apple-tab-span" style="white-space: pre;"> </span>
Monday 10 June</div>
<div>Early registration:<span class="Apple-tab-span" style="white-space: pre;"> </span>
Monday 15 July</div>
<div>Late registration:<span class="Apple-tab-span" style="white-space: pre;"> </span>
Monday 12 August</div>
<div>Main conference:<span class="Apple-tab-span" style="white-space: pre;"> </span>
Wednesday 4 – Friday 6 September 2024</div>
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<div>CONFERENCE GENERAL CHAIRS</div>
<div>Xianghua Xie, Swansea University, UK</div>
<div>Iain Styles, Queen’s University Belfast, UK</div>
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<div>PROGRAMME CHAIRS</div>
<div>Gibin Powathil, Swansea University, UK</div>
<div>Marco Ceccarelli, University of Rome Tor Vergata, Italy </div>
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<div>SPECIAL SESSION CHAIRS</div>
<div>Jiaxiang Zhang, Swansea University, UK</div>
<div>Rex Ying, Yale University, USA</div>
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<div>SPONSORSHIP CHAIRS</div>
<div>Daniele Cafolla, Swansea University, UK</div>
<div>Raoul van Loon, Swansea University, UK</div>
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<div>PUBLICITY CHAIRS</div>
<div>Lu Zhang, Swansea University, UK</div>
<div>Beiyu Lin, University of Nevada, USA</div>
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<div>PUBLICATION CHAIR</div>
<div>Jingjing Deng, Durham University, UK</div>
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<div>SPONSORS</div>
<div>Gold: </div>
<div>- Technis Blu</div>
<div>- Infordata</div>
<div>Silver:</div>
<div>- Amicus Therapeutics </div>
<div>Bronze:</div>
<div>- Zienkiewicz Institute for Modelling, Data and AI</div>
<div>- IET Institution of Engineering and Technology</div>
<div>Your Researcher Sponsor:</div>
<div>- Elsevier Journal of Theoretical Biology</div>
<div>Best Paper Award Sponsor:</div>
<div>- Springer</div>
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<div>CONTACT</div>
<div>contact@aiih.cc </div>
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Xianghua<br>
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Professor and Head of Computer Science, Swansea University, UK<br>
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https://www.swansea.ac.uk/compsci<span style="text-align: -webkit-auto;">/</span></div>
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<span style="text-align: -webkit-auto;">http://csvision.swansea.ac.uk</span></div>
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