Graph showing system that examines X-ray images to predict which Covid-19 patients are at greatest risk of decline
Medicine

Covid-19 Triage

The pandemic has pushed hospitals to their limits. A new machine learning system could help doctors make sure the most severe cases get timely, appropriate care.
Series of images showing a variety of medical AI products
Medicine

Medical AI’s Hidden Data

U.S. government approval of medical AI products is on the upswing — but information about how such systems were built is largely unavailable. The U.S. Food and Drug Administration (FDA) has approved a a plethora of AI-driven medical systems.
Series of images and graphs related to cancer detection
Medicine

Shortcut to Cancer Treatment

Doctors who treat breast cancer typically use a quick, inexpensive tumor-tissue stain test to diagnose the illness and a slower, more costly one to determine treatment. A new neural network could help doctors to go straight from diagnosis to treatment.
Medicine

Pain Points in Black and White

A model designed to assess medical patients’ pain levels matched the patients’ own reports better than doctors’ estimates did — when the patients were Black.
Data related to a language model that predicts mutations that would enable infectious viruses
Medicine

The Language of Viruses

A neural network learned to read the genes of viruses as though they were text. That could enable researchers to page ahead for potentially dangerous mutations. Researchers at MIT trained a language model to predict mutations that would enable infectious viruses to become even more virulent.
Animation alternating sad and happy emojis
Medicine

Online Clues to Mental Illness: NLP Model Analyzes Social Media for Signs of Mental Illness

Can social media posts reveal early signs of mental illness? A new machine learning model shows promising results. Researchers developed a model that analyzes messages and images posted by Facebook users for indicators of psychological problems.
Matthew Mattina
Medicine

Matthew Mattina: Life- Saving Models in Your Pocket

Look at the tip of a standard #2 pencil. Now, imagine performing over one trillion multiplication operations in the area of that pencil tip every second. This can be accomplished using today’s 7nm semiconductor technology.
Doctor examining a snowman holding a broom
Medicine

The Model Will See You Now

Institutional hurdles to AI for medicine began to fall, setting the stage for widespread clinical use of deep learning in medical devices and treatments. DeepMind’s AlphaFold model determined the three-dimensional shape of a protein in just hours.
Two reindeers with masks on a snowy night
Medicine

Coping With Covid

AI accelerated the search for a coronavirus vaccine, detected Covid-19 cases, and otherwise softened the pandemic’s blow. Machine learning researchers worldwide scrambled to harness the technology against the coronavirus.
Covid Moonshot animation
Medicine

Crowdsourcing Against Coronavirus

Covid Moonshot, an open-source project to vet potential medicines using machine learning, is closing in on compounds that might help curb Covid-19. Four new antiviral drugs identified by the project are ready to advance to animal trials.
Examples of contrastive learning
Medicine

Learning From Words and Pictures

It’s expensive to pay doctors to label medical images, and the relative scarcity of high-quality training examples can make it hard for neural networks to learn features that make for accurate diagnoses.
Data related to a system that purportedly identified breast cancer
Medicine

Pushing for Reproducible Research

Controversy erupted over the need for transparency in research into AI for medicine. Google Health introduced a system that purportedly identified breast cancer more accurately than human radiologists.
Google tumor detector
Medicine

Standards for Testing Medical AI

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
Medicine

More Data for Medical AI

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
Medicine

U.S. Proposes National AI Centers

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

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