10 Most Common Applications of Artificial Intelligence in Healthcare

Published: 03 Mar 2025

Artificial intelligence is transforming healthcare in many ways. It helps doctors diagnose diseases faster, improves treatment plans and makes hospital tasks more efficient than ever before. If we analyze the applications of AI in Healthcare, then we will come to know that it has served a lot from simple AI-powered chatbots to advanced medical imaging. This technology is making healthcare smarter and more patient friendly. Let’s come to our main topic and discuss AI applications in healthcare.

1. Medical Imaging and Diagnostics

Artificial Intelligence (AI) is updating medical imaging in many areas. It helps the doctors to find diseases faster and also with more accuracy. This means patients get better care. AI uses special computer programs called deep learning algorithms. These programs learn from many medical images. They can then spot problems in new images, like tumors or fractures.

Key benefits of AI medical imaging in Healthcare are given below;

Faster Diagnoses: AI Diagnosis tool quickly reviews images which allows the doctors to make faster decisions
Improved Accuracy: AI can spot tiny details that might be missed, leading to better diagnoses
Reduced Workload: AI handles routine tasks, so doctors can focus on complex cases

Real-World Examples

Breast Cancer Detection: A study in Germany used AI in breast cancer screenings. They found 17.6% more cases compared to traditional methods. This shows AI’s potential in early cancer detection.
Lung Cancer Diagnosis: The company Behold.ai developed an AI tool called Red Dot. It helped detect lung cancer early. Letter on it identified the cancer in the founder’s wife at stage 1.

Future Potential

In 2023, the market was valued at $1.01 billion. After looking at their benefits and real world examples, we can expect that it will grow by 34.8% each year until 2030. This means AI will play an even bigger role in healthcare and will be providing more help to doctors for better care to patients.

What is your opinion on AI Medical Imaging and Diagnostics advancements in healthcare?

2. Predictive Analytics in Healthcare

Artificial Intelligence (AI) is improving healthcare by predicting diseases before they happen. It helps doctors understand risks and plan better treatments. AI studies patient data like past medical records, lab results, lifestyle factors and finds patterns that humans might miss. It finds trends and predicts who might develop serious conditions.

Key benefits of AI Predictive Analytics in Healthcare are given below;

Early Disease Detection: AI predicts diseases like diabetes and heart problems before symptoms appear
Personalized Treatment Plans: It suggests treatments based on patient history. It is improving personalized care
Better Hospital Management: AI predicts patient admission rates hereby helping hospitals prepare resources

Real-World Examples

Heart Disease Prediction: A study by Cedars-Sinai demonstrated that AI tools can significantly improve the prediction and diagnosis of heart conditions.
Sepsis Detection: Researchers at Johns Hopkins University developed an AI system that detects sepsis nearly six hours earlier than traditional methods, potentially preventing thousands of deaths.

Future Potential

After looking at their benefits and real world examples, it cleared that the AI healthcare market is growing fast. By 2030, predictive analytics is expected to be worth billions. As predictive analytics AI improves, it will help doctors prevent diseases and save more lives.

How you are looking this application in coming days in healthcare?

3. AI-Powered Virtual Assistants

The third application of Artificial Intelligence (AI) in healthcare is its virtual assistants that help patients and doctors. These AI agents in healthcare provide information, schedule appointments and support medical staff. These AI assistants use natural language processing to understand and respond to user questions. They access medical databases to offer accurate information and can integrate with health records to personalize these responses.

Key benefits of AI Virtual Assistants in Healthcare are given below;

Improved Patient Engagement: Patients get quick answers from AI ahatbots about health questions which enhances their involvement in care
Administrative Support: AI handles tasks like scheduling and reduce the workload on staff
24/7 Availability: Patients can access assistance anywhere anytime

Real-World Examples

Grove AI’s ‘Grace’: This AI agent registers participants for clinical trials and ensures proper post-discharge care. It reduces physician burnout.
Docus AI Health Assistant: Provides personalized health insights and generates comprehensive health reports for users and is validated by top medical experts.

Future Potential

After looking at their benefits and real world examples, we can estimate that virtual assistants will become more sophisticated and offer even more personalized and efficient healthcare support.

How do you think AI virtual assistants could improve your healthcare experience?

4. Robotic Surgery

The most beneficial and risky application of Artificial Intelligence (AI) is surgery through robotic systems. These systems assist surgeons in performing complex procedures with enhanced precision and control. Robotic surgery involves a surgeon operating robotic arms equipped with surgical instruments. The surgeon controls these arms from a console and allows for precise movements even in confined spaces. Robotic surgery often uses minimally invasive techniques which result in smaller cuts and faster recovery times.

Key benefits of AI Robotic Surgery in Healthcare are given below;

Enhanced Precision: Robotic systems provide greater accuracy than the human hand.
Minimally Invasive Procedures: Smaller cuts lead to less pain and quicker recovery for patients
Improved Access to Care: Robotic surgery can bridge healthcare gaps by enabling remote surgeries. It allows patients in underserved areas to receive specialized care

Real-World Examples

NYU Langone Health: After merging with Long Island Community Hospital, NYU Langone introduced robotic procedures. It performs over 1,500 surgeries with enhanced precision and reduced recovery times.
Robotic Double Lung Transplant: A 57 year old woman with chronic obstructive pulmonary disease underwent the world’s first fully robotic double lung transplant at NYU Langone Health. This robotic surgery leads to a quicker and less painful recovery.

Future Potential

After looking at their benefits and real world examples it is expected that AI robotic surgery will become dominant in all future performing surgeries with greater precision and accuracy. This evolution could lead to shorter hospital stays and improved patient outcomes.

Do you also want AI robotic surgery to improve healthcare in your community?

Pro Tip: Also read our article on related topic, Problems of AI in Healthcare.

5. Drug Discovery and Development

Applications of Artificial Intelligence (AI) in drug discovery means that AI is analyzing vast datasets to identify potential drug candidates more efficiently. This approach accelerates the development of new medications and reduces costs. AI algorithms process extensive biological and chemical data to predict how different molecules will interact with specific drug targets. This enables researchers to focus on the most promising compounds and speed up the drug development process.

Key benefits of AI Drug Discovery in Healthcare are given below;

Accelerated Drug Development: AI reduces the time required to identify viable drug candidates
Cost Reduction: By improving efficiency, AI lowers the overall expenses associated with drug discovery
Enhanced Precision: AI’s predictive capabilities lead to the development of more effective and targeted therapies

Real-World Examples

MIT’s Jameel Clinic: Researchers at MIT’s Jameel Clinic used AI to discover halicin. It is a new antibiotic capable of killing various drug-resistant bacteria and is the first antibiotic discovery made through deep learning.
Absci and AMD Partnership: Absci Corp. partnered with Advanced Micro Devices Inc. (AMD) to leverage AI in developing next-generation antibody therapeutics in order to accelerate drug discovery processes.

Future Potential

After looking at their benefits and real world examples, AI’s integration into drug discovery seems to be spreading more rapidly across healthcare. It will lead to faster development of new therapies and improved patient outcomes.

How you are AI-driven drug discovery and its impacts on availability of new treatments in future?

6. Personalized Treatment Plans

Artificial Intelligence (AI) is bringing better patient care by the application of personalized treatment plans mostly according to individual patients’ needs. By analyzing vast amounts of data, AI helps healthcare providers design therapies that align with each patient’s unique genetic makeup, medical history and lifestyle. AI algorithms process data from various sources which may include genetic information, electronic health records and wearable devices. They identify patterns and predict how patients might respond to different treatments.

Key benefits of AI medical imaging in Healthcare are given below;

Improved Treatment Outcomes: Personalized plans increase the likelihood of successful treatments
Reduced Side Effects: Tailored therapies minimize adverse reactions
Enhanced Patient Engagement: Patients through this application of ai in patient engagement receive care that resonates with their personal health profiles

Real-World Examples

Artera’s Multimodal AI Platform: Artera has developed an AI-powered solution that uses patient records and biopsy images to create customized treatment plans for prostate cancer patients. The National Comprehensive Cancer Network has endorsed this platform as the official standard for prostate cancer care. It makes sure patients receive optimal treatment tailored to their specific conditions.
Diag-Nose.io’s RhinoMAP: Diag-Nose.io developed an AI tool called RhinoMAP to improve treatment for chronic respiratory conditions like asthma, COPD and chronic sinusitis. This tool is personalizing treatments by analyzing nasal biopsy samples to match patients with the most effective drugs based on their unique biology.

As thpersonalized treatment plans are increasing rapidly it is rising concern will ai replace nurses?

Future Potential

After looking at their benefits and real world examples, we can expect the future potential of personalized treatment plans will become more precise and lead to better patient outcomes with more efficient healthcare systems.

Have you seen anyone tried AI-driven personalized treatment plans for your health?

7. Administrative Task Automation

AI Automation has brought revolution in all industries and is also advancing healthcare by integrating automation in administrative tasks. This technology reduces the workload on healthcare professionals and allows them to focus more on patient care. AI systems handle tasks like scheduling appointments, managing medical records and processing billing information. They use algorithms to perform these tasks quickly and accurately. As everything is going to be automated by AI, will it take over medical coding completely?

Key benefits of AI Administrative Task Automation in Healthcare are given below;

Increased Efficiency: Automation speeds up administrative processes and help to faster the patient service
Cost Reduction: By minimizing manual work, healthcare facilities can lower operational costs
Improved Accuracy: AI reduces errors in administrative tasks and makes sure data is accurate

Real-World Examples

Grove AI’s ‘Grace’: Grove AI developed an AI agent named Grace to perform administrative tasks such as registering participants for clinical trials and ensuring proper post-discharge care, aiming to reduce physician burnout and manage workloads in case of doctor shortage.
Abridge’s AI Documentation Platform: Abridge created an AI platform that records patient-doctor conversations (with consent) and generates summaries formatted for medical records. It was aimed at simplifying billing and coding processes. This tool is currently used by 50,000 doctors across 50 health systems.

Future Potential

After looking at their benefits and real world examples, this AI application, automation of administrative tasks in healthcare is expected to become more famous as everyone needs to automate the daily tasks with great accuracy and it is very difficult for a human being to do so. It will be leading to even greater efficiency and allowing healthcare professionals to dedicate more time to direct patient care.

Do you also want hospitals to adopt AI automation of administrative tasks in healthcare settings?

8. Remote Patient Monitoring

Another interesting application of Artificial Intelligence (AI) in healthcare is continuous monitoring of patients outside traditional clinical settings. This approach enhances patient care and reduces hospital readmissions. AI-driven remote patient monitoring uses wearable devices and sensors to collect real-time health data such as heart rate, blood pressure and glucose levels. AI algorithms analyze this data to detect deviations or trends which allows healthcare providers to respond quickly when needed.

Key benefits of AI Remote Patient Monitoring in Healthcare are given below;

Early Detection of Health Issues: Continuous monitoring enables the early identification of potential problems and leads to timely attention
Enhanced Patient Engagement: Patients become active participants in their healthcare.
Reduced Healthcare Costs: By preventing complications and hospital readmissions, it can lower overall healthcare expenses

Real-World Examples

Luscii’s AI-Powered Monitoring: Luscii, a Dutch medical software company, developed an AI-driven platform that monitors patients’ vital signs remotely. During the COVID-19 pandemic, this technology enabled hospitals to manage patients at home and reduce the strain on healthcare facilities.
AI in Mental Health Facilities: Researchers have proposed AI-enabled remote patient monitoring systems using non-invasive technologies to continuously track vital signs and physical activities of patients in mental health facilities. This approach aims to prevent unforeseen clinical disasters by facilitating timely medical interventions.

Check out this list of top medical ai companies.

Future Potential

After looking at their benefits and real world examples, AI remote patient monitoring is expected to become more sophisticated and offer personalized care plans and further reduce the need for in-person visits.

After reading what do you think, will AI-driven remote patient monitoring in healthcare proved to be beneficial?

9. Mental Health Support

This application of Artificial Intelligence (AI) in the healthcare sector is modifying mental healthcare by providing accessible and personalized support. AI-powered tools offer immediate assistance and help the individuals to manage their mental health effectively. AI-driven mental health applications use natural language processing and machine learning to interact with users. These tools analyze user inputs to provide best relevant responses, coping strategies and resources.

Key benefits of AI Mental Health Support in Healthcare are given below;

Increased Accessibility: AI tools are available 24/7 which provide support to individuals who may not have access to traditional therapy
Personalized Support: These applications offer customized advice based on individual needs and preferences
Interactive Mood: AI-driven support can also interact socially with elderly or disabled to keep them engaged

Real-World Examples

Mindship App: It is developed by Ukrainian entrepreneurs Viacheslav Urdzik and Kateryna Kotenko. Mindship is an app that uses AI to personalize breathing exercises and reduce stress. This innovation addresses mental health challenges exacerbated by the ongoing conflict in Ukraine.
Troodi Chatbot: Troodi is integrated into Troomi Wireless smartphones designed for children. It is an AI chatbot that offers immediate mental health support. It assists children in managing stress and anxiety, providing coping strategies and a platform to express their feelings.

Future Potential

After looking at their benefits and real world examples, the role of AI in mental health support is expected to expand more by offering more sophisticated and personalized interventions. This evolution could lead to improved mental health on a global scale.

Have you ever tried AI-driven mental health support tools?

10. Fraud Detection in Healthcare Billing

Artificial Intelligence (AI) is also helping in the detection of fraudulent activities in healthcare billing. AI systems can identify unusual patterns and trends by analyzing vast amounts of billing data. These trends may suggest frauds, like charging for services that were never given or using higher-cost codes than necessary. This proactive approach helps in protecting healthcare resources and ensures that patients receive appropriate care. AI fraud detection systems use machine learning to check billing records and medical data for errors or fraud.

Key benefits of AI Fraud Detection in Healthcare are given below;

Early Detection of Fraud: AI systems can quickly identify suspicious billing patterns and give alerts for prompt investigation and intervention
Cost Savings: By preventing fraudulent claims, healthcare organizations can save substantial amounts of money.
Improved Compliance: AI helps follow billing rules and standards which has lowered the risk of legal trouble

Real-World Examples

MediBuddy’s ‘Sherlock’: MediBuddy, a digital healthcare platform, developed an AI-based system called ‘Sherlock’ to handle fraud claims in healthcare reimbursements. It uses a combination of AI, machine learning, and data analytics to spot issues in real-time, such as duplicate claims or overbilling, thereby preventing fraud and reducing errors.
Optum’s AI System: A healthcare services company called Optum utilizes AI to detect fraudulent billing patterns. By analyzing vast amounts of healthcare claims data, their AI algorithms identify suspicious activities, in the form of irregular billing or unusual treatment practices. It is enhancing the accuracy of claims processing and helping to avoid financial losses.

Future Potential

After looking at their benefits and real world examples, its application in fraud detection is expected to increase because every hospital wants to get rid of fraudulent activities. Future systems may offer real-time monitoring and predictive analytics, further safeguarding healthcare resources and ensuring compliance with billing practices.

What do you think, how AI-driven fraud detection systems could impact the efficiency and integrity of healthcare billing?

Conclusion

AI is bringing some countable changes in healthcare by offering smarter, faster, and more efficient solutions for both patients and providers. From early disease detection to mental health support and fraud protection, these innovations make healthcare more accessible and personalized. I encourage you to explore the applications we’ve covered and consider which ones fit your needs best. Whether it’s using an AI-powered assistant for quick medical advice or wearing a smart device to monitor your health, these AI advancements can help you take control of your health in the best possible way. The future of healthcare is here—why don’t you take full advantage of it?

Common Queries

Here are the frequently asked questions about applications of AI in Healthcare;

Is AI in healthcare only for doctors and hospitals?

No, AI in healthcare is for everyone. Patients can use AI-powered apps, chatbots and wearable devices to track their health, get advice, and even detect early signs of illness. AI helps both doctors and individuals in making better health decisions.

Can AI replace human doctors?

No, AI cannot replace doctors. It helps by analyzing data, detecting diseases and handling routine tasks, but human doctors are still needed for making complex decisions, surgeries and patient care. AI works as a smart assistant, not a replacement.

Are AI healthcare applications expensive?

Some AI-powered tools can be costly, but many are affordable or even free like AI chatbots for mental health or smartphone apps for fitness tracking. As AI technology grows, it is becoming more accessible to everyone.

Is AI in healthcare safe to use?

Yes, AI in healthcare is designed to be safe, but it depends on the quality of the data and the company developing it. Always use AI tools from trusted sources and consult a doctor if you’re unsure about AI-generated advice.

Can AI make mistakes in healthcare?

Yes, AI can make mistakes, just like humans. It relies on the data it learns from during its training. If the data is wrong or incomplete, AI may give inaccurate results. That’s why AI should be used as a helpful tool, not the only source of medical decisions.