Top 11 AI Use Cases in Healthcare Industry

BoTree Technologies
  • Date Published
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AI solutions in healthcare are increasingly becoming popular. Here are the top 10 AI use cases in the healthcare industry.

From 2019 to 2021, AI services in the healthcare market grew at a rate of 167.1%. The global market size of the AI healthcare market stood at $10.4 billion in 2021, which is estimated to grow at a CAGR of 38.4% from 2022 to 2030.

The healthcare market is becoming increasingly data-intensive. Every custom healthcare app collects valuable user data that helps in generating insights for patient wellbeing. From diagnosis to treatment patterns, AI applications have found their way into the detailed aspects of healthcare.

Artificial Intelligence development is now revolutionizing. Most importantly, it provides faster results for the diagnosis and early detection of terminal diseases. It led to starting a treatment plan quickly and buying more time to treat the patient who might be in a critical condition.

Today, the pandemic is still surging, which is increasing the demand for AI-based solutions that can improve healthcare outcomes. There are several solutions that can help detect COVID and enable doctors to prepare a proper treatment plan.

This article focuses on 10 use cases of Artificial Intelligence solutions in the healthcare industry. Since the market is huge and healthcare is a big beneficiary of AI, these use cases will showcase how AI technology will take the sector forward.

10 best Use Cases of AI Solutions in Healthcare

Applications of AI in the healthcare market will continue to grow over the next decade. The vast amount of data will require heavy processing, which AI and Machine Learning solutions can easily achieve.

Here are the 10 best use cases of AI in the healthcare industry:

1. Early disease detection

  • One of the biggest use cases of AI services in healthcare is early disease detection. By using the patient history, medical background, clinical data, and more, the AI solution can help diagnose the disease at an extremely early stage.
  • PathAI is one of the best AI applications that provide an early diagnosis to doctors. It aims to reduce the errors in cancer detection and other pathological diseases as well.

2. Auto diagnosis

  • Chatbots that use Artificial Intelligence enable people to self-diagnose themselves or assist doctors with the same. By inputting a few symptoms and details about the self, any individual can get a diagnosis of the disease and quickly take the next step.
  • Buoy Health is an AI-based system that incorporates chatbots. It listens to the patient’s symptoms and health concerns. After that, the solution guides the patient to take the right step in the diagnosis.

3. Medical imaging

  • When there are critical cases, Artificial Intelligence helps in medical imaging by going through heavy amounts of data. It eliminates any errors in reading the medical data and provides checkpoints to detect the problem.
  • Enlitic is a Deep Learning tool that assists with the radiology and medical imaging process. It analyzes the unstructured medical data and provides valuable insights into the patient’s problem.

4. Surgery analytics

  • A great use case of professional healthcare app development comes into the picture in the form of surgery analytics. Artificial Intelligence experts are building solutions that analyze whether surgery is needed or not by analyzing reports and internal scans.
  • ConsumerMedical is a solution that utilizes AI and predictive analytics to figure out the need for surgery. It identifies the risks associated with the surgery, and if the surgery is unnecessary, it presents alternative ways for treatment.

5. Medical cost reduction

  • Pharma companies hire health care application development services for medical cost reduction. AI is useful to predict databases of molecular structures, which can tell whether the medicine will be effective for various diseases. The faster results required minimal costs, which will eventually reduce the medical care costs.
  • In 2015, Atomwise partnered with IBM to build a solution that could detect the top compounds in their test medicine. They used the technology to find these compounds that could stop the penetration of Ebola virus cells into the body.

6. Drug development

  • With the help of AI healthcare software development solutions, companies are also focusing on drug development. By going through data on different drugs, their compounds, binding capabilities, and more, AI solutions can assist researchers in creating new and effective medicines.
  • BioXcel Therapeutics is working in the field of immuno-oncology and neuroscience to develop innovative medicines. It is also working to find new applications of existing drugs through its AI solution.

7. Robot-assisted surgery

  • One of the most advanced use cases of AI is robot-assisted surgery. When there’s a need for precision and skill to conduct small-scale surgeries that are too difficult for the hand, AI-based robotic systems can assist surgeons with accuracy.
  • Vicarious Surgical offers a great solution to doctors for analyzing the smallest element on which they need to perform the surgery. It utilizes virtual reality and AI to explore the patient’s body in more detail.

8. Emergency medical care

  • Artificial Intelligence enables the hospital staff to provide emergency medical care through AI applications. To take proper measures, emergency dispatchers can use AI to analyze the verbal and non-verbal cues even before leaving the hospital.
  • Copenhagen emergency dispatchers are able to identify cardiac arrests in around 73% of the cases through AI. There are Artificial Intelligence solution providers who can create such systems to minimize any losses due to late response.

9. Task automation

  • Today, a lot of hospital tasks can be automated. Artificial Intelligence developers can build solutions that can automate repetitive processes. These include eligibility checks, form signatures, and more.
  • Olive is a great AI tool and an example of health application development that integrates with the hospital’s existing system. It automates several mundane activities, enabling the staff to provide better patient outcomes.

10. Predictive analytics

  • With the help of electronic health records (EHRs), hospitals and clinicians can utilize AI to predict different aspects of health for patients. They can predict disease before it becomes life-threatening.
  • CloudMedX is a solution that assists with providing valuable insights through predictive analytics. It intervenes at critical stages in the patient’s experience, leading to improved healthcare outcomes.


Whether it’s healthcare mobile app development services or web-based solutions, the growth of AI in the healthcare industry is imminent. The applications of AI surpass the costs involved, which makes it a preferred choice for different stakeholders. Today, every custom software development company offers AI solutions to improve healthcare outcomes and provide better medical care.