Future Of AI In Healthcare: Top 5 Use Cases & Examples

Artificial Intelligence (AI) in healthcare takes over all routine tasks that are performed by physicians, administrators, and even patients. Compared to traditional healthcare services, AI-powered tools reduce the cost of service and offer high-level treatments in very less-time. This was the core pillar for the increased deployment of AI in healthcare.
Artificial Intelligence applications in the healthcare sector are countless. AI technology is used to find new ways to develop new drugs. It was one of the most benefits of AI in the healthcare industry. Because the population is growing and at the same time, new diseases are also spreading.

 
In particular, various types of cancers are increasing the death count of the population. To overcome this challenge, something has to do in the healthcare sector. AI uses machine learning and deep learning technologies to find new patterns from the existing medicine, and thus it helps drug development companies to discover new drugs.
AI can truly augment every task of a medical professional that range from medical imaging and risk analysis to diagnose health conditions. Accordingly, the use of AI in developing healthcare robots is also helping doctors in multiple ways.
Not only these benefits but, Artificial Intelligence in the medical field has wide growth opportunities. Of course, growth opportunities will not come without investing, but, your investment should not drain. I mean to say, return on investment should always be positive for businesses.
With 20+ years of expertise in the industry, USM believes that investment in emerging technologies like artificial intelligence, machine learning, and other future technologies will always give profitable financial boundaries in this digital world.
With enormous power to unleash improvements in cost, quality, and access, AI is blasting its popularity in the healthcare sector. The growth of the AI health market is expected to reach over $7 billion in the next two years. However, AI growth in healthcare is already accelerating across the world.
The below figure depicts the share of each Artificial intelligence application in the healthcare sector.

Now, we’ll discuss a few significant use cases of AI that cannot be offered by the traditional healthcare systems.

1. AI Helps to Reduce Manual Errors and Improve Diagnostic Process

The most exciting artificial intelligence healthcare applications help doctors to improve diagnostic procedures. Today’s healthcare industry, specifically in developed markets like the USA, is highly using AI for accurately predicting the patient’s disease faster than medical professionals do.
Accordingly, AI is also used for maintaining electronic healthcare records more efficiently than humans. As intelligent machines perform more accurate functions than humans, proper maintenance of a vast medical database may result in reduced errors.
Below is the list of few healthcare companies that are using artificial intelligence to provide faster medical operations. Let’s have a look into it!

• PathAI

Location: Austin, Texas and Boston, Massachusetts
PathAI delivers an AI-powered pathology solution using Machine Learning (ML) and deep learning algorithms to assist pathologists in fast diagnosing and providing treatment for today’s challenging diseases.

• Buoy Health

Location: Boston, Massachusetts
Buoy Health has developed an AI-powered health assistant. Buoy’s AI assistant can listen to your symptoms and guide you take the proper treatment based on its diagnosis.

• Enlitic, Inc.

Location: San Francisco, California
It is striving to build a bridge between human and emerging AI technology to advance the process of medical diagnosis. Enlitic’s AI tools easily work with any existing health system infrastructure to improve the quality and efficiency of medical imaging to diagnose and treat diseases.
The company’s Artificial intelligence tools using deep learning algorithms examine unstructured and diverse medical data such as X-ray images, blood tests, medical reports, and assist doctors to provide better treatment to their patients and improve outcomes.

• Freenome

Location: San Francisco, California
The company is specialized in using Artificial Intelligence technology in diagnostic and blood tests to quickly identify and treat life-threatening cancer in its earliest stages.
These are just a few companies that are using AI in healthcare. But, multiple other leading research companies and biotech companies are using AI for improving the diagnostic processes and reduce errors in detecting disease.

2. Artificial Intelligence in Developing New Medicines

The drug development industry needs more money and time in developing and introducing new drugs into the market. Research, design, development, clinical trials, and patent approvals are all time and money consuming processes. It costs billions of money to bring a drug through clinical trials.
To improve drug efficiency and to reduce development costs, many pharmaceutical companies are using artificial intelligence technology in their operations.
Atomwise (Location: San Francisco, California) is the best instance that uses Artificial intelligence for drug development. The company is using AI technology to discover new medicines that help to treat Ebola and multiple sclerosis. Atomwise’s AI platform can screen millions of genetic compounds and deliver results faster than traditional drug development enterprises.

3. AI To Improve Patient Experience

Are you a healthcare service provider? Are you providing a great experience to your patients?
If not, start from now. Because when you provide a great experience to patients, you can achieve brand loyalty. Lack of proper service declines your brand in the market.
Artificial intelligence technology helps hospitals, doctors, as well as clinics to better serve their patients. Just have a brief discussion on how AI is helping healthcare service providers to manage their patients’ flow efficiently.

• Qventus, Inc

Location: Mountain View, California
Qventus is the best AI-powered software help patients in overcoming operational challenges in the hospital. Starting from emergency departments and surgery units to patient safety, Qventus software efficiently manages the flow of in-patients and outpatients. Thus, this Ai-powered healthcare solution boosts decisions in hospitals to improve service quality and experience.

• CloudMedX

Location: San Francisco, California
CloudMedX’s AI platform uses ML algorithms to continuously track and manage the patient journey across the healthcare system. It helps hospitals better manage their patient’s data including date of admission, medical information, and also payment data. So, healthcare providers using these data can easily deal with patients when they discharged without any confusion.

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Like these, healthcare companies can benefit from this kind of artificial intelligence applications to improve patient experience in real-time.

4. Artificial Intelligence To Manage Medical Information

The healthcare sector is one of the targeted industries for hackers. The industry is highly prone to attacks. Hackers will always try to hack the values healthcare records to sell in the black market and earn profits from it. So, to efficiently manage medical data, specifically the data which is used for discovering new drugs and provide better diagnosis, Artificial intelligence makes sense here.
AI in medical fields gives tremendous benefits. This is one of them. AI technology helps to segment the vast medical database and make the data process seamless.
Below are the few of the AI companies that deliver innovative AI solutions to better manage their vast medical data. Let’s start.

• Tempus

Location: Chicago, Illinois
Tempus’s AI-powered tools are engaged in collecting and processing vast clinical and molecular data of patients. This analysis helps doctors to provide personalized health treatments to their patients. The company is also using AI technology to continue its research and development function for cancer treatments.

• KenSci

Location: Seattle, Washington
Using big data and AI, KenSci’s intelligent solutions help to prevent future health risks. The company’s risk prediction platform helps healthcare organizations detect clinical and financial risks by grouping diverse data from existing sources. The sources include electronic medical record systems, ADT (Admissions, Discharges, and Transfers), as well as financial data.
This risk prediction system can easily identify who is at risk and who needs medical attention immediately. Thanks to artificial intelligence!

• H2O.AI

Location: Mountain View, California
Artificial intelligence is rapidly transforming healthcare industry. H2O.AI is one among the best AI company specialized in delivering AI solutions. H2O.AI’s artificial intelligence platform offers improved clinical workflows, analyze patient’s risk, and also predicts ICU transfers. Using this solutions, hospitals can ultimately achieve positive medical outcomes.
Therefore, managing medical data not only helps to automate the process of collecting, storing, and processing patient’s information, but also assist hospitals in enhancing their entire healthcare system by providing personalized treatments.

5. AI Robot-Assisted Surgery

In the recent past, the healthcare industry is observing a skyrocket growth in performing robot-assisted surgical functions. Robot-assisted surgeries offers less pain and quick recovery time. Therefore, the use of robots optimizes the process of surgery and reduced errors that are may happen with physicians. Below are the best and few of the examples of AI companies that develop surgical robots.

• Auris Health (Redwood City, California)
• Accuray (Sunnyvale, California)
• Intuitive (San Francisco, California)

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