Dr. Robert G. Schwartz Profile

Dr. Robert G. Schwartz

at American Academy of Thermology

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Proceedings Article | 27 May 2022 Presentation + Paper

Artificial intelligence applications in medical thermography using PACS and DICOM file formats

Francisco Javier González Contreras, Robert Schwartz

Proceedings Volume 12107, 121071P (2022) https://doi.org/10.1117/12.2623624

KEYWORDS: Thermography, Picture Archiving and Communication System, Infrared imaging, Machine learning, Imaging systems, Infrared radiation, Skin, Breast, Artificial intelligence, Data communications

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Infrared thermography is a non-invasive technique that records temperature patterns of the body which can be used as an adjunct method for the detection of diverse medical pathologies. One limitation of medical thermology is incomplete coherence to a standardized interpretation procedure which can lead to disparity of results given by different interpreters. Artificial Intelligence and deep learning models have been used for pattern recognition and classification of objects and have been adopted elsewhere as an adjunct methodology in medical imaging diagnosis. To perform deep learning algorithms a large database of infrared thermographic images must be put together. These images likely will come from different clinics, use different imaging systems, and they are saved in different proprietary formats depending on the imager used. To circumvent these difficulties a standard format for saving medical thermology studies must be implemented. In this talk the efforts of the American Academy of Thermology (AAT) are presented to standardize a Digital Imaging and Communication in Medicine (DICOM) file format for medical thermology. Also, efforts to implement a Picture Archiving and Communication System (PACS) Software to handle large number of images for thermography big data applications will be presented. Artificial Intelligence applications towards adjunct detection of breast pathologies using infrared thermography will be discussed.

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