Redefining AI Possibilities | Saurabh Singh

"The pandemic supported the widespread adoption and advancements of AI-based healthcare, enabling their effective utilization in diagnosis, detection, patient care, clinical trials, claims settlement, and virtual assistants."

Saurabh Singh



According to Sudeep Srivastava, Co-Founder and Director of Appinventiv AI in healthcare uses machine learning, deep learning, natural language processing, chatbots, and other AI-enabled tools to streamline administrative tasks and improve the patient experience, including diagnosis, drug discovery, treatment, and outcomes.

AI in healthcare is used to improve various operational aspects, redefining how we diagnose, treat, and monitor patients. It helps analyze medical data, design personalized treatment plans, support drug discovery, and automate administrative tasks. Furthermore, AI chatbots in healthcare provide round-the-clock support, improving patient engagement and experience.

The emergence of AI in healthcare has been transforming, redefining the way we diagnose, monitor, and treat patients. This cutting-edge technology is driving massive innovation in the industry, facilitating rapid advancements in drug discovery and development while empowering healthcare professionals to provide enhanced and expedited care.

The outbreak of the COVID-19 pandemic has further pushed the healthcare industry to adopt AI. The pandemic supported the widespread adoption and advancements of AI-based healthcare, enabling their effective utilization in diagnosis, detection, patient care, clinical trials, claims settlement, and virtual assistants.

According to Statista, AI in healthcare was worth around $11 billion worldwide in 2021 and is estimated to reach $188 billion by 2030, increasing at a CAGR of 37% from 2022 to 2030.

AI in healthcare can immensely benefit providers and patients in different areas of operations, including improved patient care, chronic disease management, early risk identification, workflow automation, and optimization.

In this article, Sudeep discusses artificial intelligence at length to get an idea of how AI is used in healthcare and how the technology will reshape the industry in the future.

Real-World Examples and Use Cases of AI in Healthcare

From making an accurate diagnosis to maximizing hospital efficiency, AI applications in healthcare have proven to be a boon for the industry. Here are a few ways AI is revolutionizing the healthcare industry and driving it toward digital transformation.

  1. Offering Robot-Assisted Surgery

It is one of the most common applications of AI in healthcare. AI and collaborative robots have revolutionized surgical procedures, reducing the risks of blood loss, pain, and other side effects. Furthermore, with AI in healthcare, surgeons can perform complex surgeries with greater accuracy, leading to faster and smoother post-surgery recovery for patients.

For instance, Maastricht University Medical Center has been utilizing AI-powered robots to suture small blood vessels, some no thicker than 0.03 millimeters. Using AI in medicine and healthcare, surgeons can access real-time information and insights into a patient’s current health condition. This AI-backed information enables healthcare providers to make prompt, intelligent decisions before, during, and after procedures to ensure the best outcomes.

  1. Detecting Fraud

The US Justice Department states that 3% of healthcare claims in the country are fraudulent. It translates into a $100 billion loss annually. With AI-based healthcare, professionals can detect invalid claims and speed up the processing, approval, and payment of valid ones. Apart from detecting insurance fraud, AI in healthcare also prevents patient data from being stolen.

Leading healthcare service providers such as Harvard Pilgrim Health are embracing AI to root out healthcare fraud. They use AI-based fraud detection systems to identify claims and detect suspicious behavior.

  1. Supporting Clinical Decisions

AI and ML in healthcare are changing the way clinical providers make decisions. AI delivers data to assist healthcare professionals in diagnosing, treatment planning, and health management. The technology also supports decisions in data-intensive specialties like ophthalmology, radiology, and pathology. It may even make it possible to perform certain tasks autonomously using AI in the near future. With natural language processing, AI can also help translate clinical notes in EHRs, enabling clinicians to enter data once only once.

  1. Assisting in Repetitive Jobs

Healthcare is now moving towards the Cognitive Assistants world, which comes with the capabilities of reasoning, analytics, and a complete range of medical knowledge. The recently launched algorithm, Medical Sieve, has been stated qualified to assist in cardiology and radiology decisions. The cognitive health assistant analyzes the radiology images to detect issues faster and more reliably.

Medical Sieve is one of the best examples of AI in healthcare. However, there are other examples also, like Enlitic, which aims to mix deep learning with medical data to aid advanced diagnostics and improve patient care.

  1. Changing Online and In-Person Consultations

Babylon App is a real-world example of how AI applications in healthcare can change doctor consultations. The app offers online medical consultation and healthcare services, providing the best AI advice based on a patient’s medical history and available knowledge.

This AI-based app works in a way that the users only have to report the symptoms of their illness, and the app then checks the symptoms against the database of the diseases using the speech recognition method. After noting the patient’s history and circumstances, they offer a course of action that the patient should take.

The ever increasing demand for healthcare apps incorporating AI technology is evident from the fact that over 54% mHealth app users are willing to engage with AI and Robotics for their medical consultation needs. This AI trend highlights the growing popularity and acceptance of AI solutions in healthcare.

The best example of AI-powered visual perception is the tool used at the UVA University Hospital. Utilizing AI and ML in healthcare, the tool analyzes children’s biopsy images to distinguish between environmental enteropathy and celiac disease, doing it as reliably as doctors do.

Future of AI in Healthcare

AI is already revolutionizing the healthcare industry, redefining medical practices, patient experience, and pharmaceutical operations. Medical units are using generative AI in healthcare to predict everything from designing effective treatment plans for women who develop breast cancer to forecasting emergency department volumes and beyond.

However, it is just the beginning of an exciting journey. In the future, AI will enable the next generation of radio tools that are precise and detailed enough to replace the need for tissue samples in some cases. It may help service providers to define the aggressiveness of cancers and target treatments more appropriately. AI is also enabling “virtual biopsies” and advancing the innovative field of radio mics.

Moreover, the utilization of electronic health data can help identify patients at risk and detect infection patterns before they show symptoms. By leveraging AI for healthcare, these analytical capabilities can deliver swift and precise alerts to healthcare providers. AI can also provide earlier warnings for conditions like seizures or sepsis, which typically necessitate intensive analysis of highly complex datasets.

Risk scoring, clinical decision support, and early alerting are some of the significant areas of development for this revolutionary tech trend in healthcare, propelling the healthcare industry into a new era of clinical excellence and remarkable advancements in patient care.

How Appinventiv Can Help in AI Journey

As we can see AI and healthcare go hand-in-hand because of the multiple benefits this technology offers to the industry. Artificial intelligence is revolutionizing healthcare by making it more intelligent, efficient, and patient-centric. The integration of AI in healthcare can enhance diagnostic accuracy, streamline administrative tasks, optimize resource allocation, and improve treatment outcomes.

However, some hurdles hinder the way of effective utilization of generative AI solutions in healthcare. By partnering with reliable software development companies like Appinventiv, one can easily overcome those challenges and produce more accurate diagnoses, drug discovery, and treatment plans.

Appinventiv, leading AI services and ML software development company, actively works with industry leaders like Vyrb, JobGet, KFC, etc., to build custom AI and ML-based models that help enhance customer experience, improve revenue, and reduce costs.

With a team of skilled professionals, we are well-equipped to create innovative AI-powered solutions that address the unique challenges and requirements of the healthcare industry. By partnering with us, you can harness the full potential of AI in healthcare and experience transformative changes.

Thus, all healthcare institutions must invest in healthcare software development services to streamline operations and improve patient care.