Artificial intelligence (AI) and deep learning are revolutionizing the healthcare industry on a global level. They are practical tools that are helping medical universities, hospitals, and other healthcare organizations to optimize their services, improve the standard of care, and reduce medical errors. In fact, according to research findings, 35% of healthcare organizations will implement AI solutions within the next two years. What’s more, by 2021, Al systems will generate $6.7 billion in global healthcare industry revenue.
Further advancement in care delivery
Electronic health records are just one example of deep learning in healthcare. And the availability of this data is necessary for further advancement in care delivery. Other examples of how AI and deep learning have begun to create smarter, more effective treatment methods include:
Precision medicine is an emerging approach for disease treatment and prevention. It takes into consideration each individual’s gene variability, as well as environmental and lifestyle factors. In a way, precision medicine is similar to medical personalization. It uses algorithms like deep learning to better analyze patient data. For instance, patients diagnosed with brain tumors may be given the same course of treatment to determine if it could work as a ‘one size fits all’ approach.
Precision medicine allows healthcare professionals and researchers to more accurately and efficiently predict which treatment and prevention method for a specific disease will work in which groups of individuals.
IoT-enabled medical imaging
A new approach that leverages the efficiency of machine learning is enabling earlier and more accurate diagnoses of lung cancer and heart disease cases. It is shaping the world of diagnostics and it has the potential to save the National Health Service billions of pounds.
Now, 3D WoundCare promises a similar, effective approach for the treatment of ulcers and wounds. Current methods for ulcer and wound care are time-consuming, manual, and imprecise. In monitoring the progress of ulcers and wounds, rarely are volume measurements taken into consideration. However, this measurement is vital in assessing the patient’s risk, identifying trends, and analyzing the healing process. The 3D WoundCare solution instantly determines the size and depth of an injury. It captures a photo of the ulcer or wound and then analyzes it to determine its 3D profile.
By analyzing progress trends over time, a patient’s recovery can be more quickly and accurately tracked. This inexpensive new technology is transforming the way healthcare professionals are using their time and other resources to deal with one of the most common and difficult health-related challenges. It is also offering an objective way to identify the best treatment methods.
Robot-assisted surgery is perhaps at the head of AI. It allows surgeons to perform minimally invasive surgery with the help of AI-enabled robotics. These tools enhance and guide the precision of surgical instruments by integrating real-time operating metrics and data from surgical experiences.
Robot-assisted surgery is improving post-operative and long-term health outcomes. As a matter of fact, reports have shown that this particular advancement has made it possible to reduce the length of hospital stay by 21%,
There are several more ways in which these technological tools are improving healthcare right now. They are detecting Alzheimer’s disease, identifying tuberculosis in the developing world, spotting brain bleeds, and treating war veterans with PTSD – to name a few. With continuously gathered data, healthcare professionals and caregivers will be able to view and validate general well-being. They will also be able to pinpoint ailments and other abnormalities before they have the chance to do harm or greater harm.
Leveraging AI and deep learning to scale the human mind
On account of AI and deep learning, the healthcare industry is experiencing an influx of productivity, efficacy, and accuracy. And this is only the beginning for the future of the industry. Where these cutting-edge tools take us will be exciting to see, but with the right knowledge and proper implementation, we can predict their path.