Oncology

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]