Brain injury mobile diagnostic system: Applications in civilian medical service and on the battlefield—General concept and medical aspects

Kaźmierski, Radosław

doi:10.1002/jcu.23545

Cited by 2 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MIST trial demonstrated that the use of a MIST was faster and led to improved discharge outcomes when compared with the drip-and-ship model, i.e., transporting the patient to the nearest primary stroke center [139]. Another novel concept is a portable ultrasound tomography device for vascular brain lesions proposed by Kazmierski [140]. This device contains multiple transcranial ultrasound probes placed on the surface of the head allowing for a significant reduction in time from stroke onset to thrombolytic therapy.…”

Section: Discussionmentioning

confidence: 99%

Taxonomy of Acute Stroke: Imaging, Processing, and Treatment

Nowinski

2024

Diagnostics

View full text Add to dashboard Cite

Stroke management employs a variety of diagnostic imaging modalities, image processing and analysis methods, and treatment procedures. This work categorizes methods for stroke imaging, image processing and analysis, and treatment, and provides their taxonomies illustrated by a state-of-the-art review. Imaging plays a critical role in stroke management, and the most frequently employed modalities are computed tomography (CT) and magnetic resonance (MR). CT includes unenhanced non-contrast CT as the first-line diagnosis, CT angiography, and CT perfusion. MR is the most complete method to examine stroke patients. MR angiography is useful to evaluate the severity of artery stenosis, vascular occlusion, and collateral flow. Diffusion-weighted imaging is the gold standard for evaluating ischemia. MR perfusion-weighted imaging assesses the penumbra. The stroke image processing methods are divided into non-atlas/template-based and atlas/template-based. The non-atlas/template-based methods are subdivided into intensity and contrast transformations, local segmentation-related, anatomy-guided, global density-guided, and artificial intelligence/deep learning-based. The atlas/template-based methods are subdivided into intensity templates and atlases with three atlas types: anatomy atlases, vascular atlases, and lesion-derived atlases. The treatment procedures for arterial and venous strokes include intravenous and intraarterial thrombolysis and mechanical thrombectomy. This work captures the state-of-the-art in stroke management summarized in the form of comprehensive and straightforward taxonomy diagrams. All three introduced taxonomies in diagnostic imaging, image processing and analysis, and treatment are widely illustrated and compared against other state-of-the-art classifications.

show abstract

Section: Discussionmentioning

confidence: 99%

Taxonomy of Acute Stroke: Imaging, Processing, and Treatment

Nowinski

2024

Diagnostics

View full text Add to dashboard Cite

show abstract

Applications of Artificial Intelligence in Military Medicine and Surgery

Meyer,

Ullrich,

Goldsmith

et al. 2024

Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threa

View full text Add to dashboard Cite

Artificial intelligence (AI) is rapidly being incorporated into many facets of medicine and surgery. This includes novel approaches utilizing machine learning (ML) in the management of injury, hemodynamic shock, and a range of military/battlefield/triage applications. In general, military-based medical systems are functionally similar to civilian equivalents domestically, especially when it comes to peacetime operations. Although there are also some similarities between military medicine and surgery during active engagements and high-volume penetrating trauma centers at surge capacity, the intensity and severity of injury are almost universally greater in the military-conflict setting. Given significant developments in the area of AI/ML in general, and in the prehospital setting in particular, benefits derived from existing AI/ML research and implementations should be translatable to the military setting (and vice versa). This chapter will address various niche medical and surgical needs applicable to both peacetime and active combat scenarios within the general sphere of military medicine and surgery. We will focus on various innovative and creative solutions and implementations utilizing a scoping literature review approach to evaluate the current state of AI/ML technology applications relevant to battlefield and battlefield-adjacent medical scenarios. We will also attempt to identify research gaps and possible avenues of moving forward.

show abstract

Brain injury mobile diagnostic system: Applications in civilian medical service and on the battlefield—General concept and medical aspects

Cited by 2 publications

References 43 publications

Taxonomy of Acute Stroke: Imaging, Processing, and Treatment

Taxonomy of Acute Stroke: Imaging, Processing, and Treatment

Applications of Artificial Intelligence in Military Medicine and Surgery

Contact Info

Product

Resources

About