How To Play Tricks On Artificial Intelligence?
While in the last years, sci-fi stories, experts and even some opinion-leader public figures frequently spelled the end of mankind through artificial intelligence, lately, it turned out just how easy it is to play tricks on smart algorithms and fool them into making errors. We looked around how researchers can hack A.I. and what that means for medicine and healthcare, mainly from a security perspective.
Our Guide To Artificial Intelligence In Healthcare
In the last couple of years, artificial intelligence moved from being a futuristic promise into a reference point for innovation. The technology also started to transform healthcare with great vigor. That’s why we thought it’s high time to talk about what A.I. can really bring to medicine, where does innovation stand at the moment, and what are the greatest challenges in its application to clinical settings. That’s what you can find in our latest e-book, the updated version of A Guide To Artificial Intelligence In Healthcare. Check it out!
Breathtaking: The Future Of Respiratory Care And Pulmonology
Smoke-measuring smart shirts, breath sound analyzing algorithms, and smart inhalers pave the way of pulmonology and respiratory care into the future. As the number of patients suffering from asthma, COPD, or lung cancer due to rising air pollution and steady smoker-levels will unfortunately not decrease any time soon, we looked around what technology can do to help both patients and caregivers. The results are breathtaking.
A.I. Bias In Healthcare
Logical, reasoned, and rational masterpieces of human intelligence that are assumed to make objective, logical, reasoned decisions and choices. Instead, what the scientific community had to follow lately was how praised smart algorithms proved to be just as biased and judgmental as their human masters, sometimes even leading to scientifically questionable or discriminatory outcomes. Where does A.I. bias come from, how does it appear in healthcare, and what can we do about it?
Top Companies Using A.I. In Drug Discovery And Development
What if coming up with a new drug could be measured in days rather than years? What if new medication would cost thousands instead of billions of dollars? Just look at how an A.I. pharma start-up recently developed a potential new drug in 46 days! Artificial intelligence technologies promise to speed up the process of drug discovery and make it more cost-effective. As the market is flourishing, and it takes time and effort to separate the wheat from the chaff, we collected the most promising A.I. pharma companies out there.
How To Understand The A.I. Revolution Better In Studies And News?
Artificial intelligence is the hottest topic at the moment in both technology and medicine. Hardly a day goes by without promising research papers and studies being published on how to apply machine and deep learning methods to medical problems. However, as already the mention of A.I. makes companies’ prospects better on any market, hyping and overmarketing what an algorithm can do is an everyday phenomenon. Thus, it is not an easy task to separate the wheat from the chaff. That’s why we decided to offer here a short guide on how to evaluate research papers on A.I.
FDA Approvals For Smart Algorithms In Medicine In One Giant Infographic
Mental health algorithms mimicking empathy? A.I. outsmarting human doctors? Simple big data analytical software presented with clever marketing tactics? It’s difficult to assess the actual state of play when it comes to artificial intelligence in healthcare. Moreover, there’s no database that contains all the smart algorithms worth applying to medical processes. That’s the reason why we decided to collect every artificial intelligence-based algorithm that already received FDA approval – meaning that they are proven, reliable, and accurate solutions enabled by an official regulator for medical use. Let’s see the infographic in details!
Understanding Machine Learning And Deep Learning In Medicine
Algorithms, datasets, machine learning, deep learning, cognitive computing, big data, and artificial intelligence: IT expressions that took over the language of 21st-century healthcare with surprising force. If medical professionals want to get ahead of the curve, they rather get familiarized with the basics of A.I. and have an idea of what medical problems they aim to solve. So, let’s take a closer look at machine learning and deep learning in medicine.
What Has A.I. In Medicine Ever Done For Us? At Least 45 Things!
Remember Monty Python’s brilliant Life of Brian movie scene where the Palestinian insurgent commando, planning the abduction of Pilate’s wife in return for all the horrors they had to endure from the Roman Empire, asks the rhetorical question: what have the Romans ever done for us? With the hype and overmarketing, not to speak about the fears around A.I, we asked the same question. What has A.I. in medicine ever done for us? Well, we found at least 45 things.
Will Human Intelligence As We Know It Disappear In The Age Of A.I.?
Who is more intelligent: a caveman, a smartphone or your brother? What if we also put artificial intelligence in line? Humanity has come a long way from the African savannah to arrive at the urban skyscrapers, and not only physically, but also cognitively. Stone tools, speech, writing, pen, and paper all proved to be decisive tools in putting human intelligence on a path never seen before. What could happen with the emergence of A.I., in which case it’s not about using an instrument anymore but to collaborate with a created, but responsive source of intelligence? Is humanity ready for it?
The Real Era of The Art of Medicine Begins With Artificial Intelligence
In spite of common fears and perceived dangers, artificial intelligence won’t take the jobs of physicians and won’t monopolize medicine. On the contrary: as A.I. will help automate administrative tasks and take over monotonous day-to-day assignments, it will free up time for medical professionals to finally fulfill the mission they signed up for: to help people on their journeys to health with compassion, creativity, and care. Moreover, rather than wiping it out, A.I. will, in fact, facilitate the art of medicine. Let us show it through the example of the AlphaGo documentary.
Data Annotators: The Unsung Heroes Of Artificial Intelligence Development
How do you create a smart algorithm? Where and how do you get the data for it? What do you need for a pattern recognizing program to work well and what are the challenges? Nowadays, everyone seems to be building artificial intelligence-based software, also in healthcare, but no one talks about one of the most important aspects of the work: data annotation and the people who are undertaking this time-consuming, rather monotonous task without the flare that usually encircles A.I. Without their dedicated work, it is impossible to develop algorithms, so we thought it is time to sing an ode to the superheroes of algorithm development: data annotators.
What Will Being Healthy Mean In The Future?
What does being perfectly healthy mean? Not having any visible symptoms, hidden ones or successfully coping with any disease? Is it the opposite of being sick or more than that? How did the concept change throughout the centuries? Does it have a connection to technological change? How will we talk about the distinction between health and disease in the age of big data and artificial intelligence? Spoiler alert: philosophical contemplations ahead.
The Heart of The Matter: Technology In The Future of Cardiology
Sound, rhythm, rate, structure, function – countless features of the heart are measured to keep it healthy for as long as possible. Recently, an army of digital health technologies joined the forces of traditional preventive tools in cardiology to counter stroke, heart attack, heart failure or any other cardiovascular risks. In the future, minuscule sensors, digital twins, and artificial intelligence could strengthen their ranks. Let’s see what this might look like!
China Is Building The Ultimate Technological Health Paradise. Or Is It?
How could a country keep around 1.4 billion people healthy when the system struggles with corruption, lack of resources and an aging population? China, the emerging giant with a strong central leadership fostering technology and innovation, places its bets on artificial intelligence, telemedicine, cloud-based hospitals, and WeChat. While that could sound like an ultimate technological paradise, the question is, what are they going to do with the vast amount of data or to what interests are they going to leverage their state of the art A.I. systems? Generally, how will we speak about digital health in China: a healthcare dystopia or a system in the service of the greater good?