The rise of artificial intelligence (AI) in the healthcare industry has been revolutionary, reshaping the way we diagnose, treat, and monitor patients. AI is being used to deploy efficient and precise inventions that will help take care of patients and find a solution for them in diseases such as cancer and radiology. Using AI technology results in more accurate diagnoses and more personalized treatments. It also improves healthcare research and yields more accurate results.
According to one study, AI can outperform humans at key healthcare tasks. It can easily analyze large amounts of clinical documentation and assist medical professionals in identifying disease markers and trends that would otherwise go unnoticed. AI has a wide range of potential applications in healthcare, from scanning radiological images for early detection to predicting outcomes from electronic health records. We believe that it will be many years before AI replaces humans in broad medical processes, for a variety of reasons. Continue reading this article to learn about the role of AI in healthcare.
Use of AI in healthcare
The use of artificial intelligence in healthcare technologies improves health outcomes, reduces costs, and enhances the patient experience.
- Diagnosis of cancer and fatal blood diseases
AI provides immense help when it comes to the early diagnosis of cancer and fatal blood-related diseases. PathAI allows pathologists to make accurate diagnoses because it is one of the best machine learning and AI tools in the healthcare industry. It reduces errors in cancer diagnosis and provides a variety of new techniques for individual medical treatment. With increased accuracy in cancer diagnosis, the majority of Cancer patients can be treated or cured at an early stage, saving many lives.
AI-enhanced microscopes can help doctors scan for harmful substances and bacteria in samples of blood, such as Staphylococcus, E. coli, etc., much faster than manual scanning. Scientists used over 25,000 blood sample images to teach machines how to detect harmful bacteria. The machines learned to identify these bacteria in the blood and predict their presence in new samples with an accuracy of 95 percent, reducing fatalities.
- Customer Service Chatbots and Virtual Health Assistants
NLP technology develops chatbots that allow patients to ask questions regarding appointments, bill payments, etc. Chatbots can also communicate with patients about their illnesses and symptoms, reducing the workload of medical professionals. Aside from these benefits, it can help patients find the solutions they need, allowing healthcare professionals to focus on more important tasks.
Virtual health assistants can answer routine patients’ calls and emails, manage their medical information and protect sensitive data, schedule appointments with doctors, send follow-ups and clinical appointment reminders to patients, and so on. Cognitive computing, augmented reality, and body and speech gestures are all used to create this. Virtual health assistant applications are the most useful AI in the healthcare industry, providing patients with a personalized experience in terms of managing their health and answering their questions.
- New Medicine Development and Dosage Error Reduction
When new drugs come for clinical trials, it takes a lot of time and money. AI enables healthcare professionals to scan pre-existing medications and use them to redesign medications to combat specific diseases. This reduces the cost of developing new drugs.
Patients should take the right amount of medicine as prescribed, as even one extra dose can have dire effects on their bodies. Otherwise, there could be serious consequences. AI in the healthcare industry has the potential to reduce the margin of error in medication.
- Robotic Surgery
Robot-assisted surgeries are now very popular. Many hospitals are implementing robotics to assist them in performing tasks that require precision, control, and flexibility, such as open-heart surgery, which is beyond the capabilities of humans.
Robots have mechanical arms, cameras, and surgical instruments that supplement doctors’ knowledge, skills, and experience, resulting in a new type of surgery. In this way, surgeons sit at a computer console and control the robot’s mechanical arms, while the robot provides a magnified, three-dimensional view of the surgical site that is impossible to see with the naked eye. AI-assisted robotic surgery results in fewer complications, less pain for patients, and a faster recovery rate.
- Clinical Trial Participation
A large amount of data must be gathered and organized in clinical trials in order to develop the best theory for a specific disease and its treatment. With the help of AI applications, hospitals can now facilitate a results-driven approach to clinical trials. AI allows neural networks to predict the bioactivity and characteristics of each patient in this type of trial.
AI platforms have aided researchers in identifying suitable candidates for testing developmental drugs for a variety of diseases and disorders. As a result of AI, the healthcare industry has seen a statistical increase in the success rate of clinical trials with greater speed and fewer costs.
Closing Thoughts
There is no doubt that the future of AI in healthcare is bright and full of opportunities for further innovation. AI in the healthcare industry will become an invaluable asset as we transition into a more connected digital world. With enormous potential, it is clear that AI can aid in the diagnosis of cancer and fatal blood diseases, customer service chatbots and virtual health assistants, new medicine development and dosage error reduction, robotic surgery, and clinical trial participation.
Name: Sweta Kumari Panda
About the author: Sweta is an SEO content writer from Brahampur, Odisha, but currently lives in Bangalore. She is doing an internship in Digital Marketing and writing content for the leadership category. She graduated from Brahampur University in 2016 and has a degree in Mathematics (Hons).