Health/Fitness

Benjamin Gordon on Artificial Intelligence and the COVID-19 Pandemic

Since many U.S states are reporting an increase in new COVID-19 cases, the threat of a pandemic resurgence is becoming increasingly apparent. This threat is imposing pressure on the healthcare system, including sectors like early detection, triage, diagnosis, containment, and vaccine development. Artificial intelligence (AI) is attempting to utilize crucial tools to combat the virus. However, to date, there are mixed reviews on how the healthcare domain has utilized AI. Some experts think that the current pandemic will alter that reality.

Crucial perspectives by Benjamin Gordon

According to Benjamin Gordon, AI can result in quicker predictions concerning potential hot spots and containment concerns. AI also helps healthcare workers detect cases both rapidly and accurately. Additionally, AI empowers public health experts to measure the efficiency of preventative measures for halting the virus’ spread. It can also help in the efficient dissemination of emergency resources. Currently, AI might appear to be a buzzword, as companies have popularised its presence. There are several ways AI may act as a game-changer in fighting the COVID-19 pandemic.

 

    1.Consuming data

 

AI’s crucial advantage in combating the COVID-19 pandemic outbreak is its capacity to manage complex and massive datasets. However, experts suggest that the difference here is that AI needs to follow rules and codes, so it might not instantly decipher how a change can impact a model. This would require new regulations and/or training. Once the training is complete, AI can manage calculations and deliver predictions within 24 hours through vast datasets.

The end-to-end analysis can facilitate smarter decisions about crucial supply manufacturing, distribution, and availability. It also enables healthcare worker allocations and managing those allocation processes.

 

    2.Importance of machine learning

 

A great tool in the battle against the pandemic is machine learning. Simply put, machine learning blends enormous data sets with iterative and fast processing, as well as smart algorithms that enable software to learn from data features and patterns automatically. Most healthcare brands are making use of machine learning in some way or another. This could prove crucial through natural language processing (NLP) for transcribing notes by radiologists and physicians. In advanced cases, it can be used to match patients with resources, depending on the DNA of a specific disease to benefit physicians, patients, and the overall healthcare system.  

 

  • Epidemic analysis and early detection

 

There were write-ups about AI models diagnosing COVID-19 through CT images or X-rays. There will be a time when machine-learning models can successfully read x-rays and CT scans when determining the presence of a disease in a patient, like pneumonia. There also might come a day when these models can successfully separate and classify different types of pneumonia.

Currently, most AI models require more data. It is essential to feed the models with a variety of images concerning different genetic makeups. This also requires an ample quantity of standard images and patient images of those with COVID-19 related pneumonia. Once this information is added, AI can help diagnose and treat the pandemic outbreak while we still face it.