Google tumor detector

Standards for Testing Medical AI: Consort-AI and Spirit-AI for clinical trial quality

New guidelines for reporting on experiments with medical AI aim to ensure that such research is transparent, rigorous, and reliable. Spirit-AI and Consort-AI are complementary protocols designed to improve the quality of clinical trials for AI-based interventions.
Examples of CT scans with different contrasts

More Data for Medical AI: AI recognizes medical scans without iodine dye.

Convolutional neural networks are good at recognizing disease symptoms in medical scans of patients who were injected with iodine-based dye, that makes their organs more visible. But some patients can’t take the dye. Now synthetic scans from a GAN are helping CNNs learn to analyze undyed images.
Different images from NSF AI Institute

U.S. Proposes National AI Centers: U.S. proposes $180 million for AI research.

The White House called for new funding for AI research including a constellation of research centers. Nonetheless, the U.S. government’s annual spending on the technology still would lag behind that of several other...
Man with prosthetic leg walking

AI Steps Up: This prosthetic leg uses AI to learn a human-like stride.

A prosthetic leg that learns from the user’s motion could help amputees walk more naturally. Researchers from the University of Utah designed a robotic leg that uses machine learning to generate a human-like stride.
Data related to Covid-19 symptoms prediction

Cats Cured of Covid: Why some deep learning models thought cats had Covid

Neural networks are famously bad at interpreting input that falls outside the training set’s distribution, so it’s not surprising that some models are certain that cat pictures show symptoms of Covid-19. A new approach won’t mistakenly condemn your feline to a quarantine.
Map of China pointing specific places in red

AI Against Covid Progress Report: How Chinese authorities used AI to fight Covid

A new report details the role of AI in China’s effort to fight the coronavirus. Researchers at Synced, a China-based AI publication, describe how nearly 90 machine learning products have contributed to the country’s pandemic response.
Africa map and location sign with letters AI over it

AI in Regions Rich and Poor: How companies in Africa and the Middle East use AI

Companies in Africa and the Middle East are building AI capacity in very different ways, a new study found. AI is growing fast in both regions despite shortages of talent and data.
Images and graphs related to Dense Steerable Filter CNN (DSF-CNN)

Seeing Straight at Any Rotation: Dense Steerable Filter CNN (DSF-CNN) identifies rotated images.

A cat rotated by any number of degrees is still a cat. It takes a lot of rotated training images to teach convolutional filters this simple fact. A new filter design has this common-sense knowledge built-in.
Colorful chemical fragments bind to the main protease of the SARS-CoV-2 virus

Crowdsourcing a Cure: Covid Moonshot, the crowdsourced effort to find a cure

Researchers are drawing up blueprints for drugs to fight Covid-19. Machine learning is identifying those most likely to be effective. Covid Moonshot, an international group of scientists in academia and industry, is crowdsourcing designs for molecules with potential to thwart the coronavirus.
Information and examples of CheXbert, a network that labels chest X-rays

Human-Level X-Ray Diagnosis: A research summary of CheXbert for labeling chest x-rays

Like nurses who can’t decipher a doctor’s handwriting, machine learning models can’t decipher medical scans — without labels. Conveniently, natural language models can read medical records to extract labels for X-ray images.
Animated pie chart

Triage for Pandemic Patients: Complications AlgoMarker measures a patient's Covid risk.

Israeli and American hospitals are using an algorithm to flag individuals at high risk for Covid-19 complications.
Information related to machine learning and Covid-19

First, Make No Harmful Models: Many AI systems for Covid-19 used biased data.

Researchers have rushed out a battery of AI-powered tools to combat the coronavirus, but an assessment of dozens of models is a wake-up call for machine learning engineers.
Illustration of a patient in a hospital bed

Prognosis — Early Warning for Sepsis: AI can provide an early warning for sepsis.

An AI-driven alarm system helps rescue patients before infections become fatal. The problem: Machine learning can spot patterns in electronic health data indicating where a patient’s condition is headed that may be too subtle for doctors and nurses to catch.
Eric Topol illustration

A Visionary Doctor Prescribes AI: Dr. Eric Topol makes the case for AI in medicine.

Eric Topol is one of the world’s leading advocates for AI in medicine. Below he shares his insights into the fusion of AI and medicine and advice for machine learning engineers who want to get involved.
Illustration of doctor sheets and a pencil

Data — From Patient to Health Record: AI automatically fills out electronic health records.

Doctors are overwhelmed by clerical work. Healthcare-savvy voice assistants are picking up the slack.

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