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Software Development
Updated: Oct 2, 2024

AI-powered Healthcare: Breaking Barriers and Transforming Lives

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Verified Expert in Project management
Dhaval Dave, a Operations Spearhead, and a technology enthusiast at Radixweb.
AI is Transforming Healthcare Industry

Quick Summary: AI is reshaping healthcare, making it more efficient and effective than ever. This blog explores the transformative impact of AI in the healthcare industry. From diagnosing diseases with unprecedented accuracy to streamlining administrative tasks, AI is enhancing patient care and reducing costs. Read on to understand new hope for patients and medical professionals.

One of our clients from the healthcare industry was struggling with a relentless stream of patient files – data. The specialists or doctors had been facing many issues in decoding handwritten notes and cross-referenced mountains of data.

The weight of countless lives rested on their shoulders, and they often wished for a miracle to help them navigate this chaotic world of healthcare.

Surprisingly, the miracle occurred in the form of Artificial Intelligence – AI. The team of doctors actually witnessed the transformation firsthand when they were introduced to a cutting-edge AI-powered diagnostic system. As they were mesmerized by how the healthcare software swiftly analyzes complex medical records, extracts valuable insights, and predicts patient outcomes with utmost confidence and accuracy, their faith and trust in us, being a renowned healthcare software development company, gave way to astonishment.

Our client realized that AI was not only easing the administrative burden but also helping healthcare professionals make more informed decisions and provide better care. In addition, our client realized that with AI-driven healthcare software, we could provide faster, more precise diagnoses and allocate precious time to offering empathetic care.

They were aware that AI was not just normal software; it was a beacon of hope, transforming the industry and ushering in an era of unparalleled opportunities. Meanwhile, they also came across one statistic, which stated AI in healthcare was worth around 11 billion USD worldwide. It is estimated to reach 188 billion USD by 2030, increasing at a CAGR of 37% from 2022 to 2030.

This fact actually helped our clients and other healthcare professionals to understand the use of AI and adopt it to streamline their operations and enhance efficiency.

Here, we will talk about what is the role of AI in healthcare and how it’s reshaping the future of the healthcare industry.

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On This Page
  1. The Role of AI in Healthcare Industry
  2. The Future of Artificial Intelligence in Healthcare
  3. Types of AI in Healthcare
  4. Build an AI-powered Healthcare Application with Radixweb

The Role of AI in Healthcare Industry

The potential of Artificial Intelligence (AI) in the healthcare industry has revolutionized the way they approach global health challenges, from disease diagnosis to personalized treatment. Therefore, the global AI in healthcare market is expected to reach $45.2 billion by 2026. Read on to explore the use of AI in healthcare companies and how AI can provide valuable insights to healthcare professionals.

AI in Healthcare Use-cases

Early Disease Prediction

With the digital transformation in healthcare using AI, many healthcare professionals have delivered accurate results by analyzing massive datasets. Moreover, they use AI to detect diseases, such as cancer, more accurately and in their early stages.

Utilizing intelligent data mining techniques blended with AI-based techniques provides insights and patterns, helping healthcare professionals address various diseases due to their early detection.

As per the American Cancer Society report, a high proportion of mammograms yield false results, leading to 1 in 2 healthy women being told they have cancer. The use and benefits of AI make it possible to evaluate and translate mammograms 99% accurately and 30 times faster, eliminating unnecessary biopsies.

Robotic Surgery and Robotic Assistance

Robotic surgery is one of the most common use cases in healthcare. AI robots in healthcare have revolutionized surgical processes, reducing the risk of human errors, pain and other side effects.

Robotic surgery has empowered physicians to operate on patients with much more efficiency, precision, and control. In fact, they complement physicians' capabilities with better imaging and greater accuracy in parameters like speed, depth, and trajectory.

Well, robotic-assisted surgeries offer several benefits for patients, including less pain and scarring and quicker healing times. Also, there are many benefits of AI in healthcare that patients and healthcare companies can leverage.

Medical Imaging and Diagnostics

A report states that around 38% of medical providers use medical software as part of their treatments. And around 90% of all healthcare data comes from imaging technologies.

That’s when the importance of Artificial Intelligence in the medical field comes into play. Advanced medical imaging in healthcare has become an essential diagnostic software.

With the implementation of Artificial Intelligence in diagnostics, tests can be made more automated, precise, and quicker, reducing wait times and eliminating human mistakes. The following are some applications of AI in medical diagnosis:

  • AI-powered chatbots can communicate with patients, understand their symptoms, and suggest the best outcome.
  • Facial recognition software is used to identify rare diseases by detecting associated facial features.
  • Deep learning algorithms can analyze oncology reports and identify cancerous tissues early.
  • Combining AI algorithms with manual microscopic observation by pathologists can improve both speed and accuracy.

Drug Discovery

AI Revolutionize in Biotech

According to Morgan Stanley, Biotechs are implementing AI and machine learning to drug development, potentially creating dozens of new medicines and a $50 billion market over the next decade. Eventually, it will create a transformative experience for both medical professionals and patients suffering from hard-to-treat diseases.

The impact of AI in biotech is gaining momentum, right from the significant increase in the success rates of early-stage drug development to the delivery of cost savings to payors as AI enables earlier detection and treatment of higher-risk patients.

Since AI-enabled drug creation handles many issues and limitations in conventional R&D, it may now provide value by encouraging higher success rates and cheaper drug discovery methods.

For instance, one of the leading COVID-19 vaccine developers and pharmaceutical companies, Pfizer, uses the IBM Watson Machine Learning platform to improve drug discovery quicker, cheaper, and effective.

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Real-time Prioritization and Triage

Patient intake and triage are an intriguing area to use AI to improve efficiency. Consider a medical emergency. This is a time-consuming process as it requires medical professionals to complete the paperwork. This is when AI comes into the picture to help with patient intake and triage using chatbots and voice assistants.

You can leverage prescriptive analytics for patient data, helping you with real-time case prioritization and triage.

For instance, Jvion implements clinically validated best practices and recommends patient actions using AI-enabled prescriptive analytics.

AI-Powered Telemedicine

With the outbreak of the pandemic, telemedicine gained huge popularity, as many patients and medical professionals embraced virtual health.

Remote Patient Monitoring (RPM) and AI-powered telemedicine services empower healthcare companies to access individuals and provide the best care without even meeting them in person.

These platforms use AI algorithms to provide remote consultation and assist healthcare providers in delivering timely and accurate care.

The Future of Artificial Intelligence in Healthcare

Building AI-enabled software solutions has brought many opportunities in the healthcare sector. Are you excited to know what the future of AI will look like in the healthcare sector? Here are some trends you can expect.

Emotion AI for ASD (Autism Spectrum Disorder) and Mental Health Issues

Patients, especially those with mental problems and autism, benefit from more valuable and engaging telemedicine apps because of the implementation of emotion AI. Additionally, speech analysis can be used by AI-powered healthcare apps to identify mental illnesses, including dementia, depression, autism, down syndrome, and more.

Personalized Healthcare Services

Many healthcare organizations are on the verge of hiring healthcare software developers and adopting personalized healthcare treatments. It’s best to use vast amounts of healthcare data for insights that enable customization. Additionally, more data is created through wearable technology, including wristbands, sensorized insoles (Feetme), smart jackets (Levi's Google Jacquard), and more.

Wearable users can obtain useful information about their heart rates, blood pressure, and calories burnt. They can provide personalized diet and exercise plans when all this data is collected in AI-enabled apps.

Ambient Intelligence (Aml)

Ambient Intelligence (Aml) has been a booming trend for healthcare solution development. It works as an intersection of emerging technologies like AI, IoT, Big Data, etc. Additionally, ambient intelligence in healthcare can help reduce the time it takes for a patient to visit and consult a doctor, automate support for emergency care, and automate monitoring of a patient’s vital signs.

Diagnosis of Chronic Diseases

AI technology in healthcare has immense potential for diagnosing chronic diseases with improved treatment accuracy supported by crucial data insights. For instance, AI-enabled whole-heart computational models provide personalized treatment to comprehend the various ventricular arrhythmia solutions.

Types of Artificial Intelligence in Healthcare

When it comes to Artificial Intelligence in the healthcare market, it consists of various technologies serving specific purposes. Here, we have noted down some of the most significant AI technologies in healthcare.

Important Technologies of AI in Healthcare

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Build an AI-powered Healthcare Application with RadixwebAs we know, AI and healthcare go hand in hand because of the multiple benefits healthcare professionals can leverage. Artificial intelligence in the healthcare industry is promising. AI has helped professionals in many ways – diagnosing and treating patients and delivering the best care and patient experience.The integration of AI will help analyze medical images, detect diseases, and predict patient outcomes. Therefore, AI in the healthcare sector is here to stay and is expanding. The way AI has revolutionized healthcare by enhancing diagnostic accuracy, streamlining administrative tasks, and optimizing resource allocation, no other technology could have amplified this industry.However, there are some challenges you will find while implementing AI in healthcare. But, by partnering with a reliable healthcare app development company, Radixweb can help you overcome those challenges and deliver personalized care, accurate diagnosis, improved patient care, and reduced costs.

Frequently Asked Questions

What is AI in healthcare?

How much does it cost to develop an AI-based Healthcare app?

What are the ethical considerations of AI in healthcare business operations?

When should businesses consider custom AI solutions vs pre-built AI products?

What are some popular AI tools and platforms used in healthcare?

Is it mandatory for every AI-based medical app to be compliant with FDA and HIPAA requirements?

What are the competitive advantages of AI in healthcare?

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Dhaval Dave

Dhaval Dave

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Verified Expert in Project management
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About the Author

Dhaval Dave, a Operations Spearhead, and a technology enthusiast at Radixweb. He holds 16 years of experience with proficiency in PHP & frameworks, Node.js, React.js, MongoDB, AWS services, and many other technologies. He is a dynamic leader with exceptional communication skills and has a track record of delivering on-time success for global brands.