Integrating Multimodal Imaging in Clinical Practice: The Importance of a Multidisciplinary Approach

Rodríguez-Palomares, José F.; Fernández, Miguel A. García; Barba, Joaquín

doi:10.1016/j.rec.2016.01.019

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…This combination of information is a critical component of the drive to individualized treatments, aka precision medicine [46]. While currently isolated to single imaging modalities, AI is expanding to involve multiorgan-multimodality datasets [47][48][49]. The centralization and standardization of imaging data provided by the structure of EI help the healthcare industry meet the critical requirements of eliminating silos and establishing standards to meet the complex AI use cases of today and the future.…”

Section: Data Analytics and Artificial Intelligencementioning

confidence: 99%

The Enterprise Imaging Value Proposition

Petersilge¹

2019

J Digit Imaging

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As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to provide quality care bounded by the constraints of a reduced budget. This manuscript synthesizes the experience from a number of institutions to provide the healthcare leadership with an understanding of the value of an enterprise imaging program. The value of such a program extends across the entire health system. It leads to operational efficiencies through infrastructure and application consolidation and the creation of focused support capabilities with increased depth of skill. An enterprise imaging program provides a centralized foundation for all phases of image management from every image-producing specialty. Through centralization, standardized image exchange functions can be provided to all image producers. Telehealth services can be more tightly integrated into the electronic medical record. Mobile platforms can be utilized for image viewing and sharing by patients and providers. Mobile tools can also be utilized for image upload directly into the centralized image repository. Governance and data standards are more easily distributed, setting the stage for artificial intelligence and data analytics. Increased exposure to all image producers provides opportunities for cybersecurity optimization and increased awareness.

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Section: Data Analytics and Artificial Intelligencementioning

confidence: 99%

The Enterprise Imaging Value Proposition

Petersilge¹

2019

J Digit Imaging

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“…Each imaging modality has its own specific strength and intrinsic limitations, such as spatial resolution, penetration depth, contrast mechanism, and sensitivity leading to precise and reliable images correlated with true anatomy. To compensate the weak aspects of different modalities, multimodal imaging concepts have been considered in recent years [1][2][3]. Multimodal imaging can play an important role in the clinical care of various diseases by improving the clinician's ability to perform monitoring, surveillance, staging, diagnosis, planning and therapy guidance, screening therapy efficacy, and evaluating recurrence [2].…”

Section: Introductionmentioning

confidence: 99%

Dual-Modal Photoacoustic Imaging and Optical Coherence Tomography [Review]

2021

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Optical imaging technologies have enabled outstanding analysis of biomedical tissues through providing detailed functional and morphological contrast. Leveraging the valuable information provided by these modalities can help us build an understanding of tissues’ characteristics. Among various optical imaging technologies, photoacoustic imaging (PAI) and optical coherence tomography (OCT) naturally complement each other in terms of contrast mechanism, penetration depth, and spatial resolution. The rich and unique molecular-specified absorption contrast offered by PAI would be well complemented by detailed scattering information of OCT. Together these two powerful imaging modalities can extract important characteristic of tissue such as depth-dependent scattering profile, volumetric structural information, chromophore concentration, flow velocity, polarization properties, and temperature distribution map. As a result, multimodal PAI-OCT imaging could impact a broad range of clinical and preclinical imaging applications including but not limited to oncology, neurology, dermatology, and ophthalmology. This review provides an overview of the technical specs of existing dual-modal PAI-OCT imaging systems, their applications, limitations, and future directions.

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Rationale for Cardio-Oncology Units

Nhola

Villarraga

2017

Revista Española de Cardiología (English Edition)

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Integrating Multimodal Imaging in Clinical Practice: The Importance of a Multidisciplinary Approach

Cited by 3 publications

References 16 publications

The Enterprise Imaging Value Proposition

The Enterprise Imaging Value Proposition

Dual-Modal Photoacoustic Imaging and Optical Coherence Tomography [Review]

Rationale for Cardio-Oncology Units

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