Artificial Intelligence (AI) in healthcare continues to rise in demand. It’s become more useful in various industries and enabling users to develop autonomous applications. That helps them in performing different tasks without human guidance.
Researchers are trying to bring this technology more useful into other fields such as Autonomous Vehicles, Agriculture, MedTech, Logistics, Retail Tech, Human Attribution, Aerial, 3D Point Cloud, Sports And Games, etc. Healthcare is one of the important sectors where the implementation of artificial intelligence technology can play a vital role in diagnosing the diseases to provide better medical treatments with promising results. So, it allows medical professionals to make faster, early, and accurate decisions that could save lives.
AI surely is the game-changer in the medical field quite easily. How? Let us look at a few ways in which AI has transformed the Healthcare industry and improved patient outcomes.
What Is Medical Data Labeling?
AI is transforming the medical industry like never before. AI in healthcare is becoming more prevalent with computer vision-based machine learning model developments. The more training data is used with the ML algorithm, the AI model will learn with more variations making it easier to predict the results with more accuracy in various scenarios for the healthcare sector.
And to make the training data more useful, the labeled medical images are used to make the disease or body aliments detectable through machines. Medical data labeling is the process of labeling the medical imaging data like Ultrasound, MRI, and CT Scan, etc. for machine learning training. Other than these radiologist images, other medical records available in the text formats are also labeled to make it understandable to machines for accurate predictions.
Applications Of AI In Healthcare
Virtual Assistants
The virtual assistant is one of the popular and most widely used AI-backed applications. Nowadays, people from all age groups can access virtual assistants through computers, smartphones, and other portable devices. Google Assistant, Siri, and Cortana are some of the AI based virtual assistants. They can provide a personalized aid when it comes to healthcare and medical treatment advice.
The main roles of AI virtual assistant in medical field:
- Reply to the usual patient queries
- Managing Medical Records
- Analyzing the Insurance coverage
- Management of the schedules for Clinicians
- Office duties
Benefits of a medical virtual assistant in action:
- Enhancement in the scope
- Profit optimization and miscellaneous costs reduction
- Appointment and schedule management
- Improvement in the patient experience
- Development in office layout
- Increases organizational productivity in several ways
Personal Trainer For Health Fitness
Today our lives are getting busier, and we barely have time to exercise regularly. Keeping a healthy diet is even more challenging. There are lots of confusing questions: Which diet works best? What workout plan to keep? etc. But nothing to worry about. AI is here to help! AI is already transforming personal fitness by providing innovative apps that connect with gadgets like wearables, smartwatches, and smartphones, to track your habits, routines, and constant exercise patterns. It guides you towards a happier and healthier life.
Healthcare Chatbots Assistance
Customer service is one of the important things in the healthcare industry. In this digital era, people are connected with different devices like computers, laptops, smartphones, etc. All industries are taking advantage of such digital platforms. AI is adopted at an advanced level to provide healthcare. AI-based Virtual Assistant services and Chatbots are taking the place of human customer service to serve users as per their ease. Which provides a personal chat window to help by giving answers to the queries.
A chatbot can assist customers through text or speech communications by answering queries/ booking appointments/ help with medication and billing requirements, etc. This helps hospitals to reduce their cost on billing, appointment scheduling, and other services.
Advanced Analytics And Research
AI in healthcare is conquering new heights. With the time being, the AI is becoming smarter and understanding the humans in a better way to give a proper response. AI-enabled systems are intelligent enough to process structured and unstructured patient data to provide them better medical facilities to diagnose life-threatening diseases like cancer. AI use in healthcare is depending on the quality of training data used while developing such AI applications.
Robotic Assistance
Robots are everywhere in the medical field, from science fiction to Clinics. Robotic medical assistants monitor patients and alert the nurses when there is a requirement for a human presence. It permits nurses to observe several patients at once. These robotic assistants automatically enter information into the patient electronic health record, and they can assist doctors in surgery. We witnessed Robotic carts playing many roles in the coronavirus crisis. They help people to keep social distancing during the coronavirus pandemic by allowing health care workers to remotely take temperatures and measure blood pressure and oxygen saturation from patients hooked up to a ventilator, disinfecting with ultraviolet light, serves food to quarantined people, etc.
How Infolks Help You?
With Infolks, you get perfectly labeled data for training smart and intelligent medical applications. We have set up a dedicated team of experts exclusively for medical data annotation. Our experience in the medical industry includes Eye cell analysis, microscopic cell analysis, Diagnostic imaging analysis, Teeth and gum segmentation. Our other MedTech cases are Liver diagnosis, Kidney stones labeling, Brain disease diagnosis, Cancer cell detection, Skin biopsy, Medical record documentation, etc.
Are you planning to carry out your medical data labeling requirements in the most secure environment? Contact Us for your further queries on our various medical data labeling services.