19+ AI In Healthcare Examples For Effective Medical Care

The impact of artificial intelligence in healthcare is no news to anyone. The internet is full of insights, statistics, etc., about AI and its capabilities to revolutionize healthcare. But rarely do we dive into the specifics of various AI in healthcare examples and how these intelligent digital solutions streamline processes.  

So, today, let us look at some of the many examples of AI in healthcare. But before that, these are some of the popularly used AI formats that are preferred for AI healthcare solution development. 

Diverse Forms Of AI Used For Healthcare Solution Development 

1. Machine Learning 

ML is used to train the AI model on a vast range of medical data, such as research papers, diagnostic treatment plans, visual documentation, patient records, etc. This improves diagnostic accuracy and makes the model more reliable. 

2. Deep Learning 

It is a subset of ML that creates a neural network of multiple layers for handling large sets of complex datasets. This accelerates information extraction, improves anomaly detection and genomic data analysis, and facilitates other complex processes. 

3. Natural Language Processing 

NLP is used to handle unstructured data. In the healthcare industry, it can be used to handle medical notes, research papers, etc. NLP helps improve record-keeping and organizing, which further assists with the decision-making process.

4. Computer Vision 

Computer vision allows AI to understand visual data such as images and videos and derive useful information from them. This proves beneficial in analyzing radiology, pathology, and dermatology visual reports for early and accurate diagnosis.  

5. Generative AI 

With advanced capabilities to create unique content, generative AI finds its use cases in streamlining complex medical processes and drug discovery medical research. It can also become the virtual assistant for patients who require constant support. 

More on the impact of AI in the healthcare industry – AI in Healthcare 

20 AI In Healthcare Examples For Digitally Adept Medical Assistance 

We have bifurcated the examples of AI technology in healthcare based on their primary domain of action within the industry. They are divided into AI examples for administrative tasks, patient care, treatment plans, and the AI tool for surgeries and research purposes.    

The 20 most promising AI examples in healthcare are:

1. AI-Based Healthcare Chatbots
2. Workflow Automation System 
3. Automated Documentation
4. AI Record Management System
5. AI Appointment Scheduler
6. Personalized Treatment
7. Pre-Authorization With AI
8. Telemedicine Applications
9. Reduction Of Non-Required Medical Tests
10. Early Disease Detection
11. Preventive Treatment
12. Genomic Data Analysis
13. Medical Images Evaluation & Detection
14. Quantitative Image Analysis
15. Potential Equipment Maintenance Prediction
16. Robot-Assisted Surgeries
17. Image-Guided Surgical Procedures
18. VR & AR Based Surgical Stimulations
19. Drug Discovery 
20. Clinical Trial

AI In Healthcare Examples For Administrative Tasks 

1. AI-Based Healthcare Chatbots 

We cannot talk of AI examples in healthcare without discussing chatbots. These intelligent AI bots have significantly reduced the amount of resources spent on mundane tasks. 

It provides round-the-clock support, answers patients’ queries, is capable of providing first aid support, and can provide relevant medical advice based on patient records, but this is not all. Healthcare chatbots are also capable of handling basic administrative tasks, which significantly reduces the workload. 

Want to know more about chatbots in healthcare? Then this blog will interest you –  Healthcare AI Chatbots 

2. Workflow Automation System 

Manually recording patient symptoms or keeping an account of all the treatment plans is time-consuming and prone to errors. However, this can be easily streamlined using AI.

Image and video-to-text transcription, voice command systems, personalized response generators, etc., are some examples of AI in healthcare that convert time-consuming manual tasks into mechanized AI-powered solutions. Integrating AI healthcare solutions reduces operational costs and frees up talented employees from tedious documentation work. 

3. Automated Documentation

Healthcare is a document-intensive industry, and most of it involves sensitive information about patient’s medical records, bank details, etc. When documenting these details manually, people tend to skip over some crucial details. 

AI can automatically streamline the consultation process through real-time transcription, which helps medical practitioners and patients get a quick overview. This makes the follow-up consultation easier for the healthcare providers and makes medical jargon understandable for the patients.  

4. AI Record Management System  

When it comes to managing patient records, billing and insurance data, medical staff records, internal logs, etc., AI mechanizes them for well-organized and accurate record keeping. However, despite this, it is one of the underrated examples of AI technology in healthcare.   

AI automates insurance claim verification, facilitates the billing process for faster payments, and reduces the burden on staff. It also improves the quality of recorded documents for future reference. 

5. AI Appointment Scheduler  

One of the most practical AI examples in healthcare would be a solution that automates appointment scheduling. From booking the time slot to adding it to the calendar with the agenda, everything is AI-powered. 

With real-time alerts and automated calendar updates, it can significantly reduce the front desk’s workload. Additionally, an option to add notes or upload documents will benefit patients who seek consultation with a specific subject to discuss. 

There are numerous applications for booking a doctor’s appointment at the patient’s convenience. Read about them here – Doctor Appointment Apps

AI In Healthcare Examples To Improve Patient Care 

6. Personalized Treatment

Eliminating the one-size-fits-all patient care approach and replacing it with more patient-oriented personalized medical assistance would be a huge leap for the healthcare industry with AI. 

Integrating AI-based solutions will accelerate patients’ medical assessments and foster a more holistic approach. Healthcare professionals will be able to design a custom treatment plan based on the data generated by AI about the person’s lifestyle, habits, and medical history for optimal treatment benefits. 

7. Pre-Authorization With AI 

Everyone is aware of AI’s capabilities to process vast amounts of datasets. It is also capable of analyzing and organizing the complete data as a report per the requirements based on the illness and treatment. This is especially beneficial in getting medical insurance approved. 

AI automatically evaluates the patient’s eligibility and gets the insurance pre-approved in case it is needed. This streamlines the treatment journey for both doctors and patients. 

8. Telemedicine Applications 

In-person consultation is the best way to connect with experts. However, it might not always be feasible. Also, for some medical cases, regularly monitoring the patient’s health is required. This is where telemedicine apps come in as examples of AI in healthcare. 

These apps continually track patient data. This approach offers many benefits, such as faster responses in case of emergencies and early detection of any shift in patient health. 

Want to know more about apps in the medical industry? – Click on Healthcare Apps 

9. Reduction Of Non-Required Medical Tests

AI analyzes patient records to segregate necessary tests from unnecessary ones. This reduces treatment costs and makes the process less time-intensive, making it one of the AI examples in healthcare that aim for cost-optimized, accessible healthcare. 

AI employs NLP and ML to review the complete treatment plan and accordingly modify the tests to better understand patient health against their past reports. This makes the treatment plan more intentional and goal-oriented. 

10. Early Disease Detection

Many fatalities can be avoided if healthcare professionals are able to detect early signs of diseases as symptoms. AI’s ability to derive useful medical information from large datasets proves to be really beneficial in this case. 

AI employs advanced functionalities like predictive modeling, auto image interpretations, wearable devices, and disease management systems to continuously monitor health conditions. These technologies detect early signs of ailment before any physical symptoms start showing. 

AI In Healthcare Examples That Improve Medical Treatments 

11. Preventive Treatment 

Another change augmented by AI is preventive healthcare. Unlike traditional methods, which focus on curing the ailment, preventive healthcare aims to inhibit it.

One way to achieve this is by assessing health by considering multiple variables, such as lifestyle, current illnesses, medicines, etc. Based on this, AI generates possible ailments and how to prevent them. This broadens the horizon and helps patients to adopt a better and much healthier lifestyle. 

We designed a similar application for our clients. It analyzes patients’ lifestyles and medical reports to deliver a complete report of possible future ailments along with preventive measures. Learn more about it through our case study here.

12. Genomic Data Analysis 

A lot of diseases stem from the person’s genetic makeup, and most of them cannot be cured, but with the right diagnosis, some of them can be managed through proper treatment and medication. 

What makes this case one of the prominent AI examples in healthcare is that it opens up new opportunities. It facilitates personalized treatment and faster genetic disease identification through genetic data analysis, which was impossible back then. 

13. Medical Images Evaluation & Detection

Visual medical testing, such as CT scans, radiology reports, MRI scan reports, etc., aids treatment by providing more in-depth insights into everything that is happening inside the body. This helps doctors identify who needs urgent care. 

In this scenario, AI helps by improving image quality, removing noise, and making images more accurate for diagnosis. It also mechanizes image analysis for faster and more accurate interpretation, thus accelerating the treatment process. 

14. Quantitative Image Analysis

Another addition to examples of AI technology in healthcare for visual medical testing is quantitative image analysis. AI’s deep learning technology is used to do a quantitative analysis of medical images. 

This enables healthcare practitioners to evaluate the extent of disease progression by extracting essential biomarkers. This would be beneficial for cancer patients as it accelerates the diagnosis. Quantitative image analysis can also predict patient outcomes for effective treatment strategization. 

15. Potential Equipment Maintenance Prediction 

AI ensures minimal to no downtime by continuously analyzing the medical data collected from the medical equipment. This data includes various KPIs and patterns that may point towards possible machine failure.

Integrating such an AI solution into the system allows medical professionals to reduce the breakdown risks by implementing preventive strategies. This ensures continued medical assistance, optimal technological infrastructure, and assured quality medical assistance when needed in a cost-effective manner.

AI in Healthcare Examples For Medical Surgeries & Research  

16. Robot-Assisted Surgeries 

Surgeries are often complicated, and given the life-and-death situation, they require the utmost care, precision, and responsibility. While surgeons undergo rigorous training to ensure successful treatment, adding an AI robot trained on this specific use case can further improve dexterity. 

These surgical robots allow smaller incisions, thus reducing the invasiveness and recovery time. They also cause less inconvenience, shorten the surgery time, and uncomplicate the surgical procedure with unmatched precision. 

17. Image-Guided Surgical Procedures 

AI not only thoroughly analyzes medical images, like MRI, CT Scans, and other reports, but it also translates them into visualized guidance to assist with surgical procedures. It also offers real-time guidance during the process. 

To add more functionalities, such AI examples in healthcare are capable of pinpointing the exact target location with improved accuracy. This reduces the chances of complications and eliminates the chances of damage to healthy tissues. 

18. VR & AR Based Surgical Stimulations 

AI is capable of generating anatomical images of human body with all the required variables for surgeons to stimulate surgical procedures. This will increase the success rate by selecting the best solutions. 

Using AI-powered AR/VR systems, surgical procedures, and training to become the perfect surgeon can also be optimized. This would benefit trainee doctors to learn the surgical processes and help surgeons refine their skills in a controlled environment. 

19. Drug Discovery 

The pharmaceutical sector of the healthcare industry is also advancing at a fast pace to improve the treatment process. From personalized medicine to disease-specific drug development, there are so many avenues of development in the field. 

AI in drug discovery allows researchers to reach the microscopic level of drug development and alter the complete compound formulation at the elemental level. This optimizes the drug development process for futuristic pharmaceutical solutions. 

Learn more on how GenAI powers the drug discovery process in the medical industry here – Role Of Generative AI in Drug Discovery.

20. Clinical Trial 

Artificial intelligence also accelerates clinical trials through intelligent recruiting and predictive capabilities. It helps researchers and practitioners determine eligible candidates by automating candidate shortlisting based on selection requirements. 

Additionally, using AI’s predictive capabilities, researchers can test drugs’ reactions against multiple variables in a controlled environment and make amends accordingly. This allows the researchers to narrow down possible combinations of different elements and compounds for improved results and reduced side effects. 

Summing Everything Up 

These AI in healthcare examples are some of the significant AI integrations that have the capability to revolutionize the whole industry. However, these solutions are mere tip of the iceberg when it comes to AI’s use cases in the medical industry. 

But the key thing to remember is that these solutions cannot be designed as one-size-fits-all applications for every healthcare institution. Just like the personalized medical care fostered by these advanced technologies, they need to be tailored to every institution’s requirements and problem statements. 

To integrate premium AI examples in healthcare customized to the particularities of an institution, one must connect with the AI development service provider with expertise in designing healthcare solutions.