Chips, heat and cooling with fans: The technology behind the AI-supported imagery analysis employed in medical technology
In the past human experts were largely responsible for the interpretation of medical images, e.g. X-rays, MRI scans, CT scans etc. This was sometimes not only extremely time-consuming but also resulted in diagnostic errors that occurred due to variations in the interpretation of the data and imagery depending on the experience and expertise of the medical doctor. AI-supported imagery analysis employed in medical diagnosis has developed significantly in recent years and now provides numerous advantages compared to earlier methods.
Special processors are often used for AI-supported imagery analysis in medical diagnosis. These processors are optimized to meet the demands of deep learning algorithms. These chips are designed to quickly process large volumes of data and perform complex calculations. However, they often generate a lot of heat which necessitates efficient cooling to avoid overheating and a decline in performance. The HZ30B chip cooler with its light weight, flat design and simple mounting can rectify this problem without compromising on the cooling performance.
The HZ30B active cooler is an innovative solution as the powerful RaAxial fan MF17B05 was flush mounted on a pinbloc heat sink and not on the surface. This type of construction enables a remarkably low overall height of only 8 mm. The chip cooler easily finds space in the most compact devices. The cooling performance also speaks for itself as the pins are offset so that the air flow is more effective. A striking example of this is the thermal resistance of only 4.7 K/W.
The active cooler weighing 11 g is as light as a feather and ideal for systems in which every gram counts and what is more it is extremely quiet. For environments where low-noise operation is essential, it is highly recommendable.