Top 7 AI Examples In Healthcare - The Medical Futurist

artificial intelligence is no longer a futuristic idea it's already here and in healthcare it has turned out to be a powerful disruptive Force fueling some of the most Innovative diagnostic tools of today so let's take a look at seven examples where AI has started to transform Healthcare I'm Dr Alberto rameshko and you're watching the medical futurist [Music] thank you [Music] number one detecting arrhythmias atrial fibrillation or afib is a condition that can increase the risk of stroke heart failure and other hard related complications but until recently it has been overwhelmingly difficult to deal with it as it needs continuous ECG monitoring to provide data about heart rate and Rhythm but AI has already changed that with the appearance of digital Health devices for example a life course cardiac is an FDA approved medical grade ECG recorder that's the most sophisticated AI ever brought to personal ECG according to the company the cardio algorithm doesn't just switch the point of care from the hospitals to wherever the patient is but it runs pretty much invisibly in the background analyzing readings on the go number two emergency detection AI has the potential to highly optimize patient Pathways and even benefit nurses too a HCA Healthcare developed a predictive algorithm called sepsis prediction and optimization of therapy it can continuously monitor patient data in hospitals to identify potentially impending sepsis cases the algorithm is able to detect sepsis six hours earlier than clinicians enabling the healthcare system to cut sepsis mortality rates by nearly 30 percent number three seizure detecting smart bracelets epilepsy is the fourth most common neurological problem in the U.S following migraine stroke and Alzheimer's disease but valuable devices like the empathicus AI fueled wristband are designed to notify users and caretakers about a developing seizure clinical testing of embrace yielded a 98 accuracy rate for detecting generalized tonic clonic seizures the long-term plan of course is to be able to predict seizures too number four skin checking apps skin checking applications allow users to take pictures of their suspicious skin lesions upload these pictures and get the images evaluated by an AI algorithm these algorithms work by comparing user images to vast databases coming up with a preliminary diagnosis in just a few seconds while dermatologists are still absolutely required for confirmed diagnosis these applications are highly accurate and it can detect skin lesions that could have been missed by the traditional Healthcare process number five stroke detection The Wiz lvo app uses a deep learning algorithm to automatically detect stroke on CT Imaging and alert on-core stroke Specialists about potentially treatable patients since stroke is one of the most time sensitive conditions in all medicine the system is a game changer by cutting down several hours for patients to receive the care they need in a study containing the largest Health Ada data set to date this lvo achieved 96 sensitivity and 94 specificity faster triage with this application enables the identification and treatment of more patients which improves patient outcomes and reduces the chances of long-term visibility number six breast cancer detection breast cancer is one of the most prevalent cancer diagnosis for women but deep learning models aiming to find early signs of a disease have been around for a good number of years now although we have not yet arrived to an all-incompassing solution studies show that combining deep Learning Systems predictions with human pathologist diagnosis improves patient outcomes and alleviate at least some of the burden on Radiologists when they need to make life altering decisions for their patients number seven drug discovery Advanced algorithms could fundamentally alter the traditional process of Designing drugs too AI could make drug development much cheaper and more effective by shortering the drug production cycle and helping out the pharmaceutical industry in finding new drugs without burdening clinical trials and accumulating costs According to some estimates it takes about 12 years and close to 3 billion dollars for one single experimental drug to advance from concept to Market recently an advanced machine learning program from alphabet's Deep Mind has revealed 200 million proteins this could speed the search for new medicines through 200 million that's the difference AI can make and examples like this are popping up everywhere in the healthcare landscape now profoundly changing the way we can bring new solutions to our maladies of course these are just a few exciting examples of how artificial intelligence can if you all the capabilities of healthcare professionals there is still a long way to go and figure out how to further Implement these algorithms not only from the technological point of view but also in terms of regulations but what's clear is that AI already means a paradigm shift for medical professionals and patients alike and it only just started if you like this video please subscribe below so you will get notified about all the videos we come up with plus please check out the digitalhealthcourse.com the platform where you can learn all the things around digital health and the future of healthcare

Channel: The Medical Futurist

Views: 76,641

Keywords: digital health, the medical futurist, future, healthcare, medicine, technology, health, innovation, future of health, future of ai, future of medicine, patient, doctor, medical professional, future of hospitals, future of healthcare, digital, healthtech

Id: mkiDXTS6-mU

Length: 6min 9sec (369 seconds)

Published: Wed Dec 07 2022