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AI: A blessing for Healthcare System

The repercussions of crippled healthcare are severe. In addition, the emerging cases of health casualties due to pollution, pandemic outbreaks are becoming recurrent. Such a present condition demands optimization and advancements of healthcare a necessity.

A significant time before, the proposal of incorporating tech advancements and innovations in the medical field has reflected a significant optimism. The amalgamation of tech innovations such as Telemedicine, health care apps, Artificial intelligence incorporated gadgets and software, and new machine learning principles have all been the focus of research. Fortunately, today, the medical field has seen some successful integrations of artificial intelligence and medical science that can fuel the human race’s well-being.

The principles of AI are well-implemented and explored in the medical field. It propounds some incredible applications that can elevate healthcare facilities to another level. Let’s dig deep into Artificial Intelligence’s application in the world of medicine.

AI bracing medical Research

 Every day, new medical research is perpetuated. To find robust findings and firm solutions to medical problems, drugs, etc. a careful study on massive sample size is done to cover extremes of the medical situations. During this, hefty data is generated that needs to be evaluated, sorted, studied, and analyzed.

Manual interpretation of data can be cumbersome and time-consuming. AI on the other hand, with the aid of deep learning can run rounds and rounds of interpretation and analysis on data that too in minutes. This can highlight some critical data findings which otherwise could get unexplored. These new findings can help developing drugs, gathering medical facilities, help in forecasting future medical conditions, and whatnot!

Drug development with AI

 The conventional drug development process consisted of several steps and took years and years of research without any confirmation and affirmation of an efficient drug. This exploited resources and time of research professionals. AI on the other hand can bridge this and can assist in the rapid development of drugs.

This can be done via analyzing early symptoms of diseases and establishing some critical data connections amidst small size to large sized samples. AI, in this way, can increase drug efficiency by facilitating drug discovery in the early stages of medical conditions thereby saving time and effort.

AI facilitating the process of disease diagnosis and treatment

This is one of the most useful and practical areas of AI’s involvement in medicine. The use of AI algorithms in the detection of critical diseases such as cancers, eye diseases, tumors has been discovered soundly. The AI’s capability in diagnosing a disease can save millions and millions of costs. Apart from mitigating the costs, it saves a number of lives as the detection of diseases during the early stages can aid in implementing treatment processes.

Not only diagnosis, but It can also assist in finding appropriate treatment methods for diseases. Specific AI algorithms can trace the widely available drugs and can then map their mode of action with the disease’s underlying symptoms. In this way, it can help in developing a treatment for diseases at the right moment thereby saving lives, costs, and time.

AI-driven Surgeries

Implementation of robotics and Artificial intelligence in surgeries can elevate accuracy and precision. Medical science is complicated and so are critical surgeries. A mere inaccuracy or carelessness in surgical processes can cost a patient a life. Specific AI algorithms equipped robots have been widely seen as the best alternatives for carrying out error-free, and stable surgical procedures.

This field is under extensive research and propounds some optimistic endeavors. We hope to see the elevation in AI-driven surgeries by the end of 2025.

AI giving hopes for stabilized future healthcare 

AI is unstoppable. Even after the implementation of some unbelievable principles into daily lives, AI still has dimensions completely unexplored. The medical field is experiencing the need for new inventions and advancements. In such a scenario, AI can become an optimistic companion.

The development of telemedicine apps to serve patients with quick opinions of healthcare officials, the implementations of virtual reality assisting in developing one-to-one doctors assistance, the development of AI-enabled gadgets to monitor health vitals, etc. all are fueling the hopes of a better and stable medical healthcare system.

Ankita Sinha, Co- Founder & CTO, Gravitas AI



Digital Tech Visions of AI for the Future Healthcare Industry

There’s no denying the fact that Artificial Intelligence has taken our world by storm with loads of incredible innovations. Standing right at the edge of the Fourth Industrial Revolution, we are coming to terms with the very cursory steps made by AI and machines in re-designing the world where we reside in.

Although, many prolific thinkers worldwide have started criticizing the attempt of replacing human intelligence with technology and auto-learning machines, there is one sector where Artificial Intelligence is spelling benefits galore — the healthcare and medical industry.

The digital tech vision of Artificial Intelligence for healthcare industry is transforming almost every now and then. With technology undergoing some exponential advancements, AI is bucking up to sprout its wings for the healthcare industry, albeit, for all the good reasons.

Within the next few decades, the global health care industry is anticipated to thrive and excel with the following digital tech visions. Take a look:

A Dash of Improvement in Medical Imaging

The advanced machine learning algorithm is capable of processing truckloads of information in an instant. Compared to humans, these are a way more precise in identifying even the minuscule details in medical imaging reports that include CT scans, mimeographs, et al.

Some of the world’s top-tier companies have begun to rely on algorithm-based analysis of different medical imaging reports that can accurately identify the early signs of breast cancer, osteoporosis, aortic aneurysms et al.

Owing to such unlimited capacities of deep learning, it will be possible to sense the crawling presence of several other ailments that even the human experts may not be able to trace. The computer-based analysis holds manifold capacities to interpret images and data with utmost accuracy.

In the near future, Artificial Intelligence might even replace human assistance in some certain professions like pathologists, radiologists, etc.

EMRs are Expected to be Enhanced

Since the past few decades, the ongoing debates on the effects of Electronic Medical Records or EMRs on health information technology have gained momentum. As per a few medical studies, the EMRs can be the game changers in enhancing the healthcare industry.

Although many health care experts have found them extremely cumbersome and complex that prevents them from exploring technology to the utmost. However, a number of AI-driven software is on the horizon to rescue healthcare experts from the clunky EMRs.

The biggest drawback of this latest technology is that it compels clinicians to squander a way too much time in performing certain tasks repetitively. Being a rescuer, Artificial Intelligence can automate them with ease.

For instance, during a visit, speech recognition can record every minuscule detail when the physician interacts with a patient. Being the representation of data, charts can incorporate a lot great deal of information collated from different sources including, external sensors, wearable devices, etc. Artificial Intelligence can directly feed these data into the EMRs.

By understanding and extrapolating the collected data with deep learning algorithms, the quality of healthcare can be enhanced greatly. Besides improving a patient’s adherence to treatment, it can also guide the health care experts through predictive AI analytics and help them treat life-threatening conditions with utmost efficacy.

Better CDS are to be Made

An interesting fact about deep learning is that by enhancing the CDS or Clinical Decision Support tools, deep learning can enable machines to make more accurate decisions.

The CDS tools are generally built into EMR system for helping clinicians in their works by recommending them ideal treatment courses, warning them of potential dangers and analyzing every minuscule detail in the health record of a patient.

By bringing forward the augment, CDS can also enable machines to interact with each other in a better way. In particular, with the help of AI, different medical devices can be connected to the Internet like other IoT devices i.e. monitors, wearables, bedside sensors, and the likes.

Being operated by Artificial Intelligence, different EMR platforms will be capable of interacting with each other via the Internet, thus maximizing collaboration between various wards and healthcare facilities.

Development of New Drugs

It is indeed a costly affair to develop a new drug with a number of clinical trials. Most of the pharmaceuticals need several years of testing on different real-world subjects during the post-marketing period.

It’s not even an uncommon phenomenon to face a lot of dangerous side effects of medicine several years after it comes to the being. The good news is the cutting-edge supercomputer-assisted Artificial Intelligence can invent legions of medicines from a database of molecular structure, which no human could ever analyze.

One of the most relevant examples could be the Atomwise’s AI that predicted a couple of drugs, which could prevent and treat Ebola virus. This virtual search also found a few medications that could fight this deadly virus effectively.

They discovered a way to reach to a pandemic emergency by thoroughly scanning the drugs, which had already been promoted to the patients for several years.

The Future Anticipations

Even though, Artificial Intelligence has come a long way in developing the medical and healthcare industry, a few earth-shattering tech innovations are still on the horizon. Although they are not ready yet, their impacts are so fulfilling that they are still worth appreciating.

Precision medicine being one such highly-anticipated AI invention, could scan through a patient’s DNA via deep genomics algorithms to look for anomalies and mutations, which could be associated with different life-threatening diseases like Cancer, et al.

The world’s best of Human Genome Project experts are presently working on the latest computational technology, which can predict the impacts of a genetic alteration, paving ways for the early-detection and individualized treatments of several preventable ailments.

In a Nutshell

The endless possibilities that Artificial Intelligence has in store for healthcare and medical sectors are worth appreciating. However, AI too has its own share of limitations, and we must obtain a thorough understanding of them as well. The usage of AI in healthcare and medical fields is not devoid of challenges, although most of them are beatable.

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