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Endoscopy Diagnosis and Treatment with AI Implementation

18/12/2566
Endoscopy Diagnosis and Treatment with AI Implementation

Background

Cancer is a leading cause of death worldwide, with gastrointestinal organ cancers, such as those affecting the colon, stomach, and rectum, being among the most serious. Since prevention is often more effective than treatments, endoscopy technology, which involves minimal incisions and minimal patient discomfort, is expected to drive the global endoscopy device market to reach approximately US$47.7 billion by 2028, with a projected CAGR of 6% by that year. This growth can be primarily attributed to the rising elderly population and the prevalence of chronic diseases. Furthermore, endoscopy technology enables doctors to perform polypectomy procedures instantly, thereby reducing the risk of cancer development. Both doctors and patients are increasingly inclined to use advanced endoscopy devices that provide high-resolution images and real-time displays through camera sensors.

Challenges in Existing Endoscopy

Traditional endoscopy relies on human visual analysis and doctor diagnoses, but it can be prone to human-related issues like fatigue, lack of experience, and the potential for overlooking subtle anomalies, which can lead to missing the best opportunity for early-stage treatment.

To improve display resolution and incorporate AI recognition, many endoscope equipment vendors choose large systems integrated with PCIe GPUs. In contrast, the MIO-5377R, along with its MIOe-UMXM expansion module, provides a compact and versatile solution for these applications, making it an ideal choice for medical imaging in endoscopic analysis.

Advantech Solutions and Design-in Services

Perfect Balance of Performance and Compactness with MIO-5377R

Compact embedded boards play a pivotal role in endoscopy machines, where size is a critical factor. MIO-5377R empowers the development of more streamlined endoscopes with a small footprint, measuring only 146 x 102 mm as a 3.5" form factor SBC. This advancement has led to substantial enhancements in mobility, and improved control for doctors.

The MIO-5377R is powered by the latest 13th Gen Intel® Mobile processor with an impressive 96 EU capability, which is three times greater than the desktop processors of the same generation. This enhanced processing power is a vital asset in the field of endoscopy, facilitating demanding tasks such as image enhancement and real-time image stitching. Additionally, it operates with a low power draw of 15/28W TDP, thanks to a fan-less and low-noise thermal design, significantly reducing both power consumption and noise levels. These capabilities translate into markedly improved diagnostics and treatments.

Furthermore, the MIO-5377R takes productivity a step further by supporting four simultaneous displays, including high-resolution HDMI 2.0 and DP1.4, with resolutions up to 4K. This impressive feature equips doctors with the ability to examine patients with exceptional clarity and precision, significantly enhancing the diagnostic capabilities of endoscopy systems. To top it off, MIO-5377R integrates USB Type-C, simplifying camera connectivity and enabling better lighting and the use of finer lenses.

Elevated Graphics: MIOe-UMXM Expansion Module with MXM GPU

Elevated Graphics: MIOE-UMXM Expansion Module with MXM GPU

In the realm of medical imaging, endoscopy demands elevated graphics performance. However, many embedded boards on the market today are physically rather large in order to accommodate PCIe or MXM expansion. Advantech now offers a GPU-expansion solution with the MIOe-UMXM, conveniently sized at only 140 x 100 mm. This expansion board can be easily connected to the MIO-5377R using a USB4 Type-C connector. The MIOe-UMXM expansion board has the capacity to support MXM GPU modules with power ratings of up to 115W, resulting in a remarkable 460% increase in graphics performance.

By incorporating the MIOe-UMXM module with an MXM GPU, the display quality is elevated from DP1.4 at 3840×2160 and 60Hz to DP1.4a, with the same resolution but at a faster refresh rate of 120Hz. This upgrade delivers clearer, smoother images, improving precision, aiding in the visualization of internal structures, and enhancing the effectiveness of medical procedures.

Additionally, this optional GPU add-on can enhance machine learning algorithms, strengthening artificial intelligence capabilities. It assists medical professionals in swiftly identifying anomalies, lesions, and potential issues in real time, thereby enhancing both diagnostic accuracy and speed. Moreover, an extended GPU can accelerate image processing, enabling real-time rendering of 3D medical images and volumetric data. This proves indispensable for tasks such as surgical planning and examinations, allowing doctors to gain a comprehensive visualization of patient anatomy.

Leverage AI Deployment with Design-In Service

Advantech provides Edge AI Suite, a free tool, as an added benefit. This software suite incorporates the Intel® OpenVino™ toolkit to enhance CPU and GPU performance, making object identification and AI performance evaluation even more efficient. It's compatible with all Advantech hardware systems and is incredibly easy to install. With just one click, users can try out the AI capabilities of their edge devices using Advantech's pre-trained models. This saves customers time and reduces the cost of AI deployment.

Conclusion

Advancements in endoscopy technology play a pivotal role in cancer prevention and diagnosis. Common challenges like bulky-sized system, high latency in computing, and reliance on human analysis can be effectively addressed by Advantech's MIO-5377R and MIOe-UMXM. These compact yet powerful devices, driven by 13th Gen Intel® Mobile processors, enhance diagnostic precision, mobility, and efficiency for medical professionals. The optional GPU add-on boosts graphics capabilities, enabling real-time imaging and enhancing artificial intelligence applications. Advantech's commitment to streamlined design and cutting-edge technology, along with the Edge AI Suite, underscores its dedication to pushing the boundaries of medical imaging for improved healthcare outcomes.