AI Health Frontier – Issue 4

“Artificial intelligence is a tool, not a threat.”

– Rodney Brooks


Artificial intelligence in healthcare

DeepMind’s AI could effectively detect more than 50 eye diseases 
The computer was asked to give a diagnosis in the cases of 1,000 patients whose clinical outcomes were already known. The same scans were shown to eight clinicians. The AI solution performed as well as two of the world’s leading retina specialists, with an error rate of only 5.5%.
[BBC / Fergus Walsh]

A new pacemaker hack puts malware directly on the device
A chain of vulnerabilities in a certain type of pacemaker could potentially be exploited to control implanted pacemakers remotely, deliver shocks patients don’t need or withhold ones they do and cause real harm

[WIRED / Lily Hay Newman]

How new technologies could transform Africa’s healthcare system
While 65% of Africa’s working population still works in farming, AI technology might be of great help to the healthcare sector in Africa. If AI systems could handle some of the minor healthcare issues, the available healthcare professionals could focus on the more difficult issues.
[Harvard Business Review / Ndubuisi Ekekwe]

3 ways health AI is changing the medical field
According to a recent report by Accenture, AI-assisted surgery, virtual nursing assistants, and the management of administrative workflow are the top 3 most valuable AI applications now taking form in healthcare.
[EdgyLabs / Zayan Guedim]

Futurists in Ethiopia are betting on AI to drive development
While Ethiopia has been encouraging investments in the manufacturing sector, AI company iCog aims to place artificial intelligence at the heart of Ethiopia’s rapid development.
[Quartz / Thomas Lewton]

How VR could help people with dementia find their way around
For people with Alzheimer’s and other degenerative diseases, just navigating around the house can be difficult and disorientating. But some pioneering approaches using VR are offering new solutions.
[The Guardian / Jules Montague]

AI-driven dermatology could leave dark-skinned patients behind
Machine-learning algorithms could help diagnose skin cancers and other skin issues. But the data for the system comes from primarily fair-skinned populations in the United States, Australia and Europe. If the algorithm is basing most of its knowledge on how skin lesions appear on fair skin, then theoretically, lesions on patients of color are less likely to be diagnosed.
[The Atlantic / Angela Lashbrook]


Interesting stuff in the world of AI

Nutrigenomics – could you genes choose the right cheese for you?
Nutrigenomics looks at your genetic makeup and how it affects the way your body processes food. But to what extent do your genes really determine what food you should and should not eat?
[The Medical Futurist / Berci]

Meet Deeplocker, the AI weapon that can target specific individuals
To study how AI could be used as a weapon, IBM developed Deeplocker: malware that’s carried by systems like video conferencing software, which is dormant until it identifies its specific target through facial- and voice recognition.
[ZD Net / Charlie Osborne]

AI Health Frontier – Issue 3

“The pace of progress in artificial intelligence is incredibly fast. It is growing at a pace close to exponential.”

– Elon Musk, CEO of Tesla and SpaceX


Artificial intelligence in healthcare

How 3D technology is transforming medical imaging
AI, cloud and supersonic networking speeds make images clearer, crisper and more informative.
[Healthtech / Brian T. Horowitz]

Consortium.AI wants to cure rare degenerative diseases using AI technology

A new venture by Insilico Medicine and A2A Pharmaceuticals aims to apply advances in AI to cutting-edge drug discovery. Consortium.AI will develop new treatments and use machine learning to validate the most promising candidates.

[Venture Beat / Kyle Wiggers]

IBM Watson AI criticised after giving ‘unsafe’ cancer treatment advice
Used in 230 hospitals around the world and having advised nearly 60,000 patients, IBM’s artificial intelligence solution Watson now faces criticism over potential inaccurate advice being given.
[The Telegraph / Natasha Bernal]

Microsoft files patent application for eyeglasses that gauge blood pressure
Microsoft filed a patent for an eyeglass monitor capable of tracking blood pressure, which is designed to be easier to use and more accurate than a traditional inflatable cuff.
[MobiHealthNews / Bernie Monegain]

Startup Catalia Health brings interactive robots to patient homes 
The robots can have tailored conversations with a patient about their routine and how they’re feeling. The information goes back to the patient’s healthcare provider, updating them on the patient’s progress and alerting them if something goes wrong.
[MedCityNews / Erin Dietsche]

New wearable sensor detects stress hormone in sweat
Cortisol is key to tracking stress, but it’s tough to measure in an instant; Stanford researchers have developed a wearable patch that can do exactly this.
[IEEE Spectrum / Tekla S. Perry]

Co-op ‘Savvy’ lets patients monetize their own health data
A new, collectively owned platform called Savvy connects healthcare companies and practitioners with patients who can directly inform their work- and get compensated for doing so.
[Fastcompany / Ellie Anzilotti]


Interesting stuff in the world of AI

Facebook’s AI accidentally flags part of the Declaration of Independence as ‘hate speech’
A newspaper in Ohio invited its Facebook followers to read the Declaration of Independence. Facebook flagged one of the posts as “hate speech.” Apparently, the company’s algorithms didn’t appreciate Thomas Jefferson’s use of the term “Indian Savages.”
[AI Trends / Doug Bordonaro]

AI is hurting people of color and the poor. Experts want to fix that
In AI development, garbage in is garbage out. If the data we’re starting with is biased, our decision coming out will be biased. With AI solutions getting implemented on an ever-increasing scale, there’s an urgent need to tackle this issue.
[CNN Tech / Heather Kelly]

AI can predict your personality simply by scanning your eyes

Eyes tell all for artificial intelligence – even your personality, new study finds. The new technology can detect four of the “Big Five” basic personality traits: agreeableness, conscientiousness, extroversion, and neuroticism.

[Mashable / Diamond Naga Siu]

AI Health Frontier – Issue 2

AI is “a core, transformative way by which we’re rethinking everything we’re doing.”


— Sundar Pichai, CEO of Google


Artificial intelligence in healthcare

UI Healthcare rolls out autonomous AI diagnostic system for retinopathy
University of Iowa Healthcare has rolled out the first autonomous AI diagnostic system cleared by the FDA. The artificial intelligence tool detects diabetic retinopathy in medical images, which can help prevent blindness in diabetes patients.
[Healthcare IT News / Bill Siwicki]

Scientists use AI to predict side effects from drug combinations

A team from Stanford University is using a new artificial intelligence system to better predict potential side effects from drug combinations. The new system could aid doctors when prescribing drugs to patients already on a laundry list of medications.

[R&D Magazine / Kenny Walter]

New AI software could decrease time spent at hospital for patients
With the help of a virtual (AI) assistant, patients can educate themselves and manage their own progress from home, while providing the healthcare professional with relevant data on the condition of their patients.
[Business Insider]

AI tool passes UK medical diagnostics exam
An artificial intelligence system has passed a medical licensing exam designed to test the diagnostic skills of GPs in the UK. With the average score being 72%, the AI agent achieved a score of 81%.
[AI Trends]

Artificial intelligence helps identify rare conditions using X-rays
Researchers from the University of Toronto have developed a new AI system that enables machine learning to create computer generated X-rays that augment AI training sets, which could improve the speed and accuracy of medical diagnostics.
[R&D Magazine / Kenny Walter]

Artificial intelligence in oncology; fantasy or reality?
AI has the potential to crunch the data from previous targeted cancer treatments and use the insights gained to advise doctors on the best options for their patients. Labiotech gives the background story and examples.
[Labiotech / Timothe Cynober]

China focus: AI beats human doctors in neuroimaging recognition contest
An artificial intelligence system scored 2:0 against elite human physicians Saturday in two rounds of competitions in diagnosing brain tumors and predicting hematoma expansion in Beijing.
[Xinhua / Yamei]


Interesting stuff in the world of AI

Google’s artificial intelligence ethics won’t curb war by algorithm
Google has promised not to renew its contract with the military next year. However, AI still appears to be a key element in the decision-making behind drone strikes.
[WIRED / Phoebe Braithwaite]

Artificial intelligence could one day determine which films get made
By analyzing screenplays, AI agent ‘ScriptBook’ retroactively identified as box-office failures 22 out of the 32 Sony movies that lost money in that period, during which Sony released a total of 62 movies.
[Variety / Peter Caranicas]

Quick guide to understand the hype around ‘deep learning’

It seems like almost every tech conversation happening today somehow touches on the topic of AI, machine learning, or deep learning. But what does it all mean? This quick guide of Iskender Dirik in The Next Web gives an overview.

[The Next Web / Iskender Dirik]

AI Health Frontier – Issue 1

“Artificial intelligence is whatever hasn’t been done yet.”

— Larry Tesler


Artificial Intelligence in Healthcare

How artificial intelligence helps to stave off seizures
WIth a computer that gets implanted into the brain, the NeuroPace Responsive Neurostimulation System can instruct the implant to stimulate users’ brains to interrupt seizures.
[The Wall Street Journal / Christopher Mims]

Consumers say artificial intelligence OK for healthcare, not retail or banking
According to a survey conducted by SAS, consumers are more comfortable using artificial intelligence in healthcare situations than in other aspects of their lives, such as retail or banking.
[Media Post / Chuck Martin]

Artificial intelligence can help diagnose a deadly heart condition
Long QT Syndrome causes about 3,000-4,000 deaths in children and young adults in the U.S. every year. Now, one start-up is testing whether AI can help diagnose the condition at an earlier stage.
[CNBC / Angelica LaVito]

Scientists Use fMRI to visualize human thoughts
Using Functional MRI, the scientists are able to monitor blood flow in the brain and even brain waves. The system is currently being trained to recognize what type of brain activity is related to certain images.
[AI Trends]

10 promising applications of AI in healthcare
The field of AI in healthcare is seemingly very wide, with a large variety of potential applications. But it is also narrow in the way that health AI applications typically perform one single task. HBR has identified the top 10 applications of Health AI.
[Hardvard Business Review / Brian Kalis, Matt Collier, Richard Fu]

Deep learning is seen as a help to cardiologists – not a job threat
Deep learning is often seen as a threat to cardiologists, but the tool could aid clinical decision-making in a way humans can’t, Randolph P. Martin, MD, says.
[AI Trends]

Google aims to prevent blindness using AI
Scientists in Google’s health division are developing technology they believe can help doctors better diagnose, treat and prevent vision impairment caused by diabetic retinopathy.
[San Francisco Chronicle / Catherine Ho, Wendy Lee]


Interesting stuff in the world of AI

Pilot study shows AI could help predict school violence
The researchers found that machine learning is as accurate as a team of child and adolescent psychiatrists in determining risk for school violence.
[Science Daily / Cincinnati Children’s Hospital Medical Center]

Nvidia’s AI reconstructs partially erased images with great accuracy
The company introduced their latest mind-blowing computer vision technique, which is able to ‘inpaint’ parts of an image that have been deleted or modified.
[The Next Web/Tristan Greene]