How AI in Healthcare Is Changing the Way We Get Treatment
Monday, April 20, 2020 5:56
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How AI in Healthcare Is Changing the Way We Get Treatment
We’re living in an era when artificial intelligence is allowing us to rethink the way that we treat disabilities and diseases.
Combining Big Data, AR/VR, blockchain and AI can help with medical diagnoses when coupled with biological delivery systems, such as gene therapy. When AI is combined with gene therapy, robotics, and medical research, many new possibilities emerge as to how doctors and clinicians can treat diseases, or possibly even cure them.
Meanwhile, these efforts will help people with disabilities to have more rewarding lives. AI healthcare companies, such as Google Deepmind Health and Nvidia Healthcare, are coming up with innovative solutions that could save lives and change them for the better.
Let’s look at why we need AI in healthcare. These AI in healthcare examples will give you some idea of how this tech is being used, but there are many more advancements that are soon to come.
Predictive AI Analytics and Diagnosis
Healthcare AI startups have an interest in categorizing data. That is because AI shows great promise when it comes to diagnostics, on which data collection relies. This technology has applications in genetic coding, medical imaging analysis, and sorting and storing patient medical records. AI tools can also use the information they gather to offer recommendations to doctors and craft unique treatment approaches.
Using AI in healthcare also applies in the area of pattern recognition. It can be used to identify patients who are at risk of developing specific conditions. It can also predict with great accuracy whether a disease will get worse during someone’s lifetime. It takes into account their genome, lifestyle, environment, and other factors.
AI is also starting to apply in the health management and doctor appointments apps when the user can fill the survey on his or her health records and AI algorithms give some recommendation or advice with which doctor the patient should schedule a consultation.
In other words, the application of AI in healthcare might be what it takes to identify patients with diseases earlier than ever before. A broad cross-section of the population should have the opportunity to predict what ailments they are more susceptible to and reduce their risk factors.
Cancer Treatment
The question of how AI will change healthcare is applicable when you consider cancer, which kills so many people worldwide each year. For decades, medical researchers have concentrated on cancer treatments. Various attempts have taken place to address the different types of this insidious disease.
For example, the world digital giant Google works on the AI system for breast cancer screening to prevent disease at a very earlier stage. With AI and the promise of a gene-editing tool such as the CRISPR/Cas9, researchers have a way to convert cancer cells into non-cancerous ones. They can do so by deleting genes and re-engineering the cells. This procedure is particularly useful in certain types of blood cancers. It is with those that the proliferation of cancerous cells can spread most rapidly.
Robot-Assisted Surgery
How can artificial intelligence benefit hospitals? Well, the role AI in the future of healthcare will play can also be seen with robotic surgeries. These will let surgeons use smaller tools and make exact incisions.
Patients and surgeons could also benefit from AI through the combination of medical records with real-time data during operations. Doctors can also draw on data from similar successful surgeries to the one they are attempting. The technology consulting firm Accenture estimates that AI-enabled, robot-assisted surgery could save the U.S. healthcare industry as much as $40 billion annually by 2026. AI and robotics in healthcare is a combination that makes a lot of sense.
Source: NPR
Autism Treatment
The promises of AI healthcare apps have let companies help those living with autism lead better lives by integrating with the world in new and immersive ways. Robots like Milo and the QTrobot are teaching children social skills based on emotion identification. The InMoov robot is teaching children sign language. Zeno instructs children on how to communicate while KASPAR reciprocates mechanical love.
On the “Artificial Intelligence” podcast with Lex Fridman, Elon Musk spoke about how Neuralink can potentially treat many brain-related diseases, including autism. Its goal is to develop an AI-enabled chip that will be implanted in the brain to gather information. It can also monitor brain function and potentially stimulate it in such a way that its activities will be optimized.
Mental Illness Treatment and Diagnosis
AI in medical field research might be able to treat conditions like clinical depression. Recently, with artificial intelligence in healthcare, most of the advances in mental health treatment have been therapy-related. There has been a particular focus on diagnosis, medication, and counseling. AI-enabled therapy robots and apps can help patients both day and night to manage mental health issues, especially at times when a therapist may not be available.
Then there are AI-enabled therapy systems using Big Data, such as Leso Digital Health or collaboration of Microsoft with SilverCloud Health to develop an AI-based platform for improved mental health.
Source: Microsoft
Such networks can provide evidence and accurately forecast the probability of a patient having a particular condition. Healthcare bots can then use the information to assign a treatment plan. Artificial intelligence also allows therapists to quantify their treatment plans with data without losing any qualitative aspects of them.
Improve the Lives of People With Disabilities
AI trends in healthcare recently have been focused on prosthetic devices as well. Prosthetic devices infused with AI have allowed people with disabilities to improve their life quality.
Machine learning in healthcare has led to the creation of bionic eyes, such as the Argus II system approved by the FDA, which lets people with poor vision better identify shapes. Such individuals will be able to engage in daily activities such as reading large-print books and crossing the street. Ossur is a global leader in prosthetics. It provides AI-enabled knee devices so that amputees can walk naturally with the aid of bionic limbs. This sort of medical AI technology can profoundly impact so many lives.
AI-Based Algorithms Can Discover New Drugs
One complaint about the healthcare industry is that there are not enough new drugs to treat the growing list of diseases. On average, though, it costs $2.6 billion to develop a new drug. Most of that money is spent on the early development stages, long before the medications are approved.
AI used in medicine might be one of the most practical applications for this industry. The drug discovery process with AI will grow cheaper and more refined, potentially leading to better treatments coming to market faster. Pfizer is one of the biggest pharmaceutical companies in the world, and they are interested in AI in medicine. It is using IBM Watson, with AI, to search for the next generation of treatments. Similar systems are being used by other pharmaceutical conglomerates that might change the way new meds are found. The use of AI in medicine hopefully means a shorter approval process, which will lead to faster treatment for those in need.
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I really like the fact that the healthcare industry starts using high technologies. Implementing an AI into a routine isn’t the nearest future, of course, but custom healthcare software development for various purposes is a common thing today.