Yes It is True that AI is the Future of Medical Industry . We Know that medical industry comprising pharmaceutical companies, device manufacturers, surgical centers, and genetic testing is most Important Pillar which is Balancing the Human Life on Planet Earth . Every Human is Trying to Develop the Medicine and Healthcare Industry to Reach its Next Level. But Here the Next Level is Termed as the Artificial Intelligence . Every Industry is moving Toward the AI , Machine Learning and Deep Learning and The Medical Industry is Also in the List of that . So , Today we will  Discuss that Why AI is Essential for Medical Industry .

But Before going to the main Topic Let us Discuss some Basic Terms Related to AI

What is Artificial Intelligence ?

The healthcare industry is generating massive amounts of structured and unstructured medical data, including machine generated diagnostic, therapeutic, and monitoring information. By 2022, the amount of stored medical data will be an enormous 2,314 exabytes, according to estimates from Stanford Medicine.1 To maximize the value of this collected data, healthcare providers are moving to platforms and diagnostic tools that use artificial intelligence (AI). AI is simply the ability of machines to simulate human intelligence. With the ability to rapidly distill information from diverse data sets, artificial intelligence enables healthcare providers to parse through large amounts of data and perform complex analytical tasks more quickly and with greater accuracy. By using artificial intelligence, these platforms can provide clinicians actionable insights at the point of care, as the data streams in. Diagnostic imaging equipment such as CT, MR, and X-ray that are powered by AI and automation can transform the accuracy and speed of diagnosis for even the most complex medical conditions, helping clinicians make the best clinical and operational decisions. By giving the right information to the right person at the right time, AI and analytics provide the foundation for precision healthcare.

Machine Learning the Upgrade to AI in Healthcare

AI is generally defined as machine learning that can perform tasks that are characteristic of human intelligence, such as planning, understanding language, recognizing objects, and problem solving. Machine learning is another term, and it is the ability for the AI models to learn without being explicitly programmed. Essentially, the AI models are fed huge amounts of data, and they can adjust themselves and improve—and thus learn patterns. Deep learning is a subset of machine learning that enables highly sophisticated learning. Deep learning was inspired by the interconnection of neurons in the brain. In deep learning, the “neurons” have discrete layers and are connected to other neurons.

Now I think Every thing is completely Understood and we can move Towards the main Applications of AI in Medical Industry which will decide its Future. In some the following sections you will be introduced to some benefits of AI in Medial and Health Care Industry :

How to Detect a Disease using Artificial Intelligence ASAP ?

In Medical Industry delays can mean the difference between life and death, so Some Devices are Developed that react faster with AI-powered Medical solutions. These AI products can detect issues and notify a doctor quickly, enabling providers to discuss options, provide faster treatment decisions and ultimately save lives.

How to do Diagnosis of Deadly Blood Diseases using AI ?

Doctors are using AI-enhanced microscopes to scan for harmful bacteria (like E. coli and staphylococcus) in blood samples at a faster rate than is possible using manual scanning. The scientists used 25,000 images of blood samples to teach the machines how to search for bacteria. The machines then learned how to identify and predict harmful bacteria in blood with 95% accuracy.

Advancement of Neurology Science with AI 

The AI helps predict bioactivity and identify patient characteristics for clinical trials. Atom wise AI technology screens between 10 and 20 million genetic compounds each day and can reportedly deliver results 100 times faster than traditional pharmaceutical companies.

How to Improve the Gene Editing Using Artificial Intelligence

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), specifically the CRISPR-Cas9 system for gene editing, is a big leap forward in our ability to edit DNA cost effectively – and precisely, like a surgeon. This technique relies on short guide RNAs (sgRNA) to target and edit a specific location on the DNA. But the guide RNA can fit multiple DNA locations – and that can lead to unintended side effects (off-target effects). The careful selection of guide RNA with the least dangerous side effects is a major bottleneck in the application of the CRISPR system. Machine Learning models have been proven to produce the best results when it comes to predicting the degree of both guide-target interactions and off-target effects for a given sgRNA. This can significantly speed up the development of guide RNA for every region of human DNA.

How the Manage Medical Data using AI ?

Medical Industry is widely considered one of the next big data frontiers to tame. Highly valuable information can sometimes get lost among the forest of trillions of data points, losing the industry around $100 billion a year. Additionally, the inability to connect important data points is slows the development of new drugs, preventative medicine and proper diagnosis. Many in Medical Industry are turning to artificial intelligence as way to stop the data hemorrhaging. The technology breaks down data silos and connects in minutes information that used to take years to process. So , If we have AI in Our System to Manage the Data , then we can Reach Next Level. 

How Doctors are Curing Cancer using AI ?

AI is already being used to detect diseases, such as cancer, more accurately and in their early stages. According to the American Cancer Society, a high proportion of mammograms yield false results, leading to 1 in 2 healthy women being told they have cancer. The use of AI is enabling review and translation of mammograms 30 times faster with 99% accuracy, reducing the need for unnecessary biopsies.

What are Portable Wearable Devices Powered by AI ?

The proliferation of consumer wearables and other medical devices combined with AI is also being applied to oversee early-stage heart disease, enabling doctors and other caregivers to better monitor and detect potentially life-threatening episodes at earlier, more treatable stages.

How to Upgrade Radiology Tools using Artificial Intelligence?

Radiological images obtained by MRI machines, CT scanners, and x-rays offer non-invasive visibility into the inner workings of the human body. But many diagnostic processes still rely on physical tissue samples obtained through biopsies, which carry risks including the potential for infection. Artificial intelligence will upgrade the  radiology tools to next level that are accurate and detailed enough to replace the need for tissue samples in some cases, experts predict.

How to Improve Immunotherapy using AI ?

Immunotherapy is one of the most promising avenues for treating cancer. By using the body’s own immune system to attack malignancies, patients may be able to beat stubborn tumors. However, only a small number of patients respond to current immunotherapy options, and oncologists still do not have a precise and reliable method for identifying which patients will benefit from this option. The Artificial Intelligence algorithms and their ability to synthesize highly complex datasets may be able to illuminate new options for targeting therapies to an individual’s unique genetic makeup.

THE CONCLUSION

So this is the End Section of this Blog post . We have Discussed a Lot of stuffs related to Future of Medical Industry with implementation of AI. We have discussed some basic terms Like Ai , Machine Learning and Deep Learning . I Hope Everything is Now clear on this . If you have any doubts then contact me in the Below Comments Section.