AIIIMA 2024

 Artificial Intelligence over Infrared Images for Medical Applications [Online Event]

AIIIMA Conference Description

There have been many advances in the use infrared imaging for medical applications in recent years. Infrared imaging comprises near-infrared, mid-wave infrared and long wave infrared spectrum. In the first ever AIIIMA workshop, more focus is given for long wave infrared imaging, in other words, thermal imaging. In the last two decades, infrared thermal imaging hardware devices have improved in thermal sensitivity by orders of magnitude (0.8 to 0.02 deg C) and recent research explorations have unearthed multiple clinical use cases and medical applications for thermal imaging. This non-contact, non-invasive radiation-free low-cost portable modality offers several advantages over other imaging modalities to patient monitoring applications in general. Furthermore, since thermal images have some unique imaging characteristics with inbuilt anonymity and opportunity to analyze in both thermal and imaging feature space, it has sparked considerable interest in several research communities. A simple pubmed search with the combination of words ‘Thermal imaging ’ and ‘Medical’ results in over 5000 articles just in the last decade. This surge of applications is 10 times higher when compared to the publications on thermal imaging during 2000-2010. We are also starting to see innovative startups creating breakthrough solutions leveraging this emerging trend of advanced medical infrared thermology and use of novel machine learning algorithms over the captured thermal images. We believe it is time to create a forum to discuss this specific sub-topic and promote this novel area of research among the research community that has the potential to hugely impact our society.

Some specific clinical applications of Infrared Imaging are seen in screening, diagnosis and treatment of cancer, such as breast cancer, skin cancer, oral cancer and others. Utility in evaluating skeletomuscular issues such as rheumatoid arthritis, vascular complications such as detecting early onset of diabetic foot and river blindness (parasites under the skin) or even respiratory abnormalities such as pneumonia and COVID-19.  The patient monitoring applications include treatment monitoring during neoadjuvant chemotherapy, acupuncture, cryotherapy and pain management.  A focused discussion on the topic of machine analysis of  medical Infrared Imaging can help create new radiomic biomarkers that can help in several such clinical use cases. 

 Call for Papers 

The topics of interest to this conference include but not limited to the novel AI techniques over infrared images to address the following problems:

  Submission Guidelines

Submitted manuscripts must be in pdf format following formats available at Lecture Notes in Computer Science . Manuscripts should be at most 12 pages (content) + 3 pages (references and acknowledgements)

All accepted papers will be published as part of the Springer's Lecture Notes in Computer Science (LNCS)*.

Submit you manuscript at CMT paper submission site

Important Dates

AIIIMA 2024 Challenge

To encourage more medical imaging researchers to join this exciting field of thermal imaging, we are hosting a challenge on 2D Medical Thermal Data Synthesis.  More details about problem statement will be posted soon!!!.

List of Open Source Thermal Datasets Available Online

*The above datasets are listed for experimentation purposes only and we do not endorse the validity or veracity of the above datasets.

Organizing and Program Committee

If you want be a sponsor, please contact aiiima.miccai@gmail.com 

Frequently Asked Questions

1. Is there a registration/publication fee?

No. AIIIMA waived off the registration/publication fee to encourage more submissions.

2. Is the conference online or Physical?

AIIIMA made the conference completely online to encourage more submissions.

Questions?

Contact aiiima.miccai@gmail.com for any queries