Images and graphs related to Dense Steerable Filter CNN (DSF-CNN)
Radiology

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.
Information and examples of CheXbert, a network that labels chest X-rays
Radiology

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.
Information related to machine learning and Covid-19
Radiology

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.
Eric Topol illustration
Radiology

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.
Schematic of a typical deep learning workflow
Radiology

(Science) Community Outreach: A survey of machine learning from Eric Schmidt

Are your scientist friends intimidated by machine learning? They might be inspired by a primer from one of the world’s premier tech titans. Former Google CEO Eric Schmidt and Cornell PhD candidate Maithra Raghu school scientists in machine learning in a sprawling overview.
Animated symbol of Covid-19 virus structure
Radiology

AI Takes on Coronavirus: CORD-19 is a free dataset of 30,000 coronavirus articles.

Machine learning thrives on data, but information about the novel coronavirus and the illness it produces has been either thin or hard to access. Now researchers are pooling resources to share everything we do know.
Information related to a test powered by deep learning that diagnoses tumor samples in only a few minutes
Radiology

Surgical Speed-Up: An AI tool for diagnosing brain tumor scans

Every second counts when a patient’s skull is open in the operating room. A new technique based on deep learning can shorten some brain surgeries. During brain cancer operations, surgeons must stop in mid-operation for up to a half hour while a pathologist analyzes the tumor tissue.
Capture of the report on trends in machine learning from market analyst CB Insights
Radiology

Business Pushes the Envelope: The trends shaping AI in 2020

The business world continues to shape deep learning’s future. Commerce is pushing AI toward more efficient consumption of data, energy, and labor, according to a report on trends in machine learning from market analyst CB Insights.
Breast cancer screening
Radiology

Cancer in the Crosshairs: Experts criticize and AI study for analyzing mammograms.

Computer vision has potential to spot cancer earlier and more accurately than human experts. A new system surpassed human accuracy in trials, but critics aren’t convinced.
Illustration of vending machine with candy and the text "Say "trick or treat""
Radiology

Machines Take Everyone’s Job

From blue collar laborers to lab coated professionals, is any job safe from AI? AI will exceed human performance at a wide range of activities. Huge populations will become jobless.
Hardware components of the Augmented Reality Microscope (ARM)
Radiology

Seeing Cancer

Microscopes outfitted with AI-driven augmented reality could improve the accuracy of cancer diagnoses. Google Health developed an attachment for analog microscopes that outlines signs of breast and prostate cancer in real time.

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