How do neural networks work in the medical field?

The introduction of Artificial intelligence has been of great help to humanity in all spheres of life, including the health sector. The neural network is a type of artificial intelligence modeled in a digitized biological brain form that helps to dictate, predict and analyze complex health data issues that may be hard to understand by the human brain into simpler forms.

Artificial Neural networks, which are commonly used are not programmed, nor work according to a set of rules, rather they are well-trained with several practical examples and health-related cases, which aids them to provide accurate results about any health-related issues. Though they are still undergoing modification, here is the breakdown of the ways they are working in medical fields:

Biochemical analysis: Having the ability to cope with noisy, non-linear, and sometimes highly dimensional datasets, it can obtain correct algorithms in biochemically related cases which are difficult to understand. The Artificial neural network now takes the lead in tracking, analyzing, and determining the glucose level, blood and urine samples, and likewise ion level, respectively.

Diagnosing and prediction: Every health sector now implores the service of Artificial neural networks for accuracy and how it outperformed the conventional pattern. Detecting health issues and predicting the possible occurrence of health abnormalities is now made possible by Artificial neural networks, with many successful cases in Cardiology and cancer-related departments.

Analyzing images: Artificial neural networks can analyze images and categorize them, enabling the possible implementation or perfect reading of the image by the clinician. Its services are visible in Scans, X-rays, and MRIs.

Development of drugs: Combining its ability to dictate and analyze health issues accurately, it can come up with a possible treatment pattern and production of drugs easily. The services were implored during the Ebola pandemic, and its turnout rate is second to none.

With the ongoing modification of Artificial Neural Networks, the health sectors are looking forward to solving more complex health issues in every field of medicine.