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<p><font size="2">We do apologize if this CfP reaches you more than
once.</font><br>
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<p>Call for papers – Special session on "Advances in artificial
intelligence and learning in Healthcare", in the 16th
International Conference on Human System Interaction (HSI) 2024 –
July 8 -11, 2024.</p>
<p><a class="moz-txt-link-freetext" href="https://hsi2024.welcometohsi.org/">https://hsi2024.welcometohsi.org/</a></p>
<p>Deadline : <strong><span
class="OYPEnA text-decoration-none text-strikethrough-none"><span
style="color: #ff0000">April 30, 2024</span></span></strong></p>
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<h5><span style="color: rgb(236, 140, 0);"><font size="4">Advances
in artificial intelligence and learning in Healthcare</font></span></h5>
<p>Artificial Intelligence (AI), in particular Artificial Learning
(AL), becomes a useful solution for many complex human-centred
problems. In healthcare, various approaches based on AI/ML have
been proposed as innovative solutions for several research
problems in health data analysis related to detection, diagnosis,
surveillance, prediction, decision-making, etc.</p>
<p>The aim of this special session is to bring together researchers
and scientists from academia and industry, as well as
practitioners working in this field, to present and discuss their
recent studies and developments. We welcome research contributions
for the following (but not limited to) topics:</p>
<ul>
<li>AI/AL for health informatics</li>
<li>AI/AL for digital health (health information, health services,
telehealth, health online, digital healthcare, digital
therapeutics, mobile health, …)</li>
<li>AI/AL for biomedical and health-related data processing
(segmentation, denoising, compression, classification,
clustering, forecasting, …)</li>
<li>AI/AL for biomedical signal analysis and processing (EEG, ECG,
PPG, PCG, EMG, EOG, …)</li>
<li>AI/AL for medical image analysis and processing (MRI, fMRI,
DTI, PET, CT, SPECT, DOT, …)</li>
<li>AI/AL-driven tools for problem-solving and decision-making in
healthcare</li>
<li>AI/AL for diseases detection, diagnosis, and/or surveillance</li>
<li>AI/AL for epidemic tracking and forecasting</li>
<li>AI/AL in biomedical engineering</li>
<li>AI/AL in bioinformatics</li>
<li>AI/AL in brain-computer interfaces (BCI)</li>
<li>AI/AL in neurofeedback</li>
<li>AI/AL in neural rehabilitation engineering</li>
<li>Smart healthcare and related applications (IoT, IoMT, Big
Data, Cloud/Edge/Fog computing, …)</li>
</ul>
<p><strong>Organizers:<br>
</strong></p>
<ul>
<li>Larbi Boubchir (LIASD – University of Paris 8, France) <br>
</li>
<li>Boubaker Daachi (LIASD – University of Paris 8, France)</li>
</ul>
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