Future Of Artificial Intelligence In Medicine
Artificial Intelligence Applications: Health Care
When it comes to saving our lives, a lot of organizations and medical carecenters are relying on AI. There are many examples of how AI in healthcare hashelped patients all over the world.An organization called Cambio Health Care developed a clinical decisionsupport system for stroke prevention that can give the physician a warningwhen there’s a patient at risk of having a heart stroke.Artificial Intelligence Applications – AI in Health CareAnother such example is Coala life which is a company that has a digitalizeddevice that can find cardiac diseases.Similarly, Aifloo is developing a system for keeping track of how people aredoing in nursing homes, home care, etc. The best thing about AI in healthcareis that you don’t even need to develop a new medication. Just by using anexisting medication in the right way, you can also save lives.
Artificial Intelligence Applications: Social Media
Ever since social media has become our identity, we’ve been generating animmeasurable amount of data through chats, tweets, posts and so on. Andwherever there is an abundance of data, AI and Machine Learning are alwayspresent.In social media platforms like Facebook, AI is used for face verificationwherein machine learning and deep learning concepts are used to detect facialfeatures and tag your friends. Deep Learning is used to extract every minutedetail from an image by using a bunch of deep neural networks. On the otherhand, Machine learning algorithms are used to design your feed based on yourinterests.Another such example is Twitter’s AI, which is being used to identify hatespeech and terroristic language in tweets. It makes use of Machine Learning,Deep Learning, and Natural language processing to filter out offensivecontent. The company discovered and banned 300,000 terrorist-linked accounts,95% of which were found by non-human, artificially intelligent machines.
Role Of Medical Artificial Intelligence
Medical artificial intelligence is a relatively new technology in the market.Additionally, AI in medicine aims to detect and analyze trends from elaboratedata inputs by researchers and medical personnel. This information pertains,among else, to treatment methods, their outcomes, survival rates, and speed ofcare. In some cases, using the deep learning technique and medical artificialintelligence algorithms can also offer solutions to complex medical problems.ÂÂ The two biggest stakes of AI in medicine today are improving treatmentoutcomes and reducing costs. Furthermore, the adoption of AI medicine couldsave the U.S. healthcare industry as much as $150 billion annuallyÂ by 2026.Â
Data Analysis Using Medical Artificial Intelligence
One of the main challenges of todayâs medicine is the overwhelming amount ofclinical data.Â Researchers are predictingÂ that by 2020, the healthcare datawill double approximately every 73 days. At the same time, around 80% of thatdata is unstructured. This is where artificial intelligence becomesindispensable. Moreover, AI can read the information and provide a cognitivesummary of patientsâ records. In 2016,Â IBM Watson AI technology was able torapidly cross-reference 20 million oncology records. Also, it correctlydiagnosed a rare leukemia condition in a patient.
AI In Medicine Diagnostics
AI in medicine is being used to diagnose patients suffering from specificdiseases. Besides, AI is capable of making better and faster diagnoses thanmedical professionals. Google DeepMindâs neural networks managed to matchthe accuracy of medical experts in diagnosing 50 sight-threatening eyediseases. Recently, doctors have started turning to AI to more efficientlydiagnose cancer patients.Photo by Naveen Joshi on Allerin
Robot-assisted Surgery In AI Medicine
More than 5,000 surgical robots are being used in overÂ 1 million proceduresÂworldwide every year. They have potential in everything, from orthopedics,urology, general surgery to neurology, and oncology. Furthermore, roboticsurgeries help to have precise procedures. But thatâs not all. Surgeonscould also benefit from medical AI by supplementing patient records with real-time data during operations, as well as using data from previous successfulsurgeries of the same type.ÂPhoto by Chris Newmarker on The Robot Report
Virtual Nursing Assistants In Artificial Intelligence Medicine
Virtual nursing assistants can be of great use to patients when it comes totheir everyday routines. Just like traditional nurses, they can remindpatients to take medications, schedule their medical appointments, and getanswers to health-related questions. Other AI applications in assistingpatients include chatbots, computers program that answers questions online.Chatbots can help patients schedule follow-up appointments and assist themwith the billing process, for example. Apps like GreatCall combine AI withwearable devices to compile data on the patients’ health. Furthermore, manyapps such as VirtualNurse include telenurses and teledocs that also providefirst aid instructions to patients.
Electronic Health Records In AI Medicine
Using an AI tool that scans electronic health records enables professionals toquite accurately predict the course of a disease. However, understanding howto manage differences between patients is of crucial importance in thisprocess. Besides, patients suffering from the same disease may have differentsymptoms, progress at various rates, and respond differently to the sametherapy. In 2018, using neuroimaging and other data, a Canadian team trained amachine-learning algorithm to predict the early stages of Alzheimerâs.Photo by Christina Sarich on Natural Society
Future Of Artificial Intelligence In Medicine
There is no doubt that in the coming years, artificial intelligence willchange the healthcare industry as we know it. Potential implementations ofartificial intelligence in medicine are endless, and experts believe that AIwill become the new norm across most sectors of the healthcare industry.Some of the examples of future uses of medical AI include: * Restoring or augmenting motor functions in patients through the use of AI brain-computer interfaces. * Providing diagnostics in regions with insufficient medical personnel. * Automating the filling out of electronic health records. * Recognizing infection patterns and warning patients at risk even before they experience symptoms. * Providing accurate analytics for pathology images, including nuances that may escape the human eye. * Offering target therapies in cancer treatment for patientsâ unique genetic makeup.
AI And Healthcare Industry: Perfect Combination
The rise in popularity of artificial intelligence positively impacts thehealthcare industry. From hospital care to clinical research, drugdevelopment, and targeted treatment, AI applications are revolutionizing howthe health sector works. They reduce spending and improve patient outcomes.Possible applications of artificial intelligence in healthcare are endless.Although scientists have only scratched the surface of the interconnection ofAI and medicine, itâs not long before they become fully inseparable.What Is AI and How Can It Work for the Pharmaceutical Industry?April 08, 2020 by Stefanini
Seminar in AI in Healthcare
Learn MoreArtificial intelligence is poised to make radical changes in healthcare,transforming areas such as diagnosis, genomics, surgical robotics, and drugdiscovery. In the coming years, artificial intelligence has the potential tolower healthcare costs, identify more effective treatments, and facilitateprevention and early detection of diseases. This class is a seminar seriesfeaturing prominent researchers, physicians, entrepreneurs, and venturecapitalists, all sharing their thoughts on the future of healthcare.
4. Hospital Management
If you’re looking for a system that includes the capabilities of all thesystems mentioned before, a hospital management system would be an idealchoice. It’s a comprehensive solution that features a wide range of healthcaremanagement modules, including EHR, practice management, patient management,billing, and more.Implementing a hospital management solution can lead to a major paradigm shiftwithin the staff. It’s essential to find a solution that’s easy to implementand doesn’t disrupt your hospital’s workflow. Here are a few things toconsider when selecting a hospital management software solution.