Combining a deep learning model with medical imaging techniques could help determine the best treatment options for patients with non-small cell lung cancer, according to a study published in Nature...
A deep learning tool can predict surges in COVID-19 cases for each US county with 64 percent accuracy, which is twice the accuracy of an untrained model, according to a study published in IEEE...
A deep learning system was able to choose the most high-quality embryos for in-vitro fertilization (IVF) with 90 percent accuracy, according to a study published in eLife.
When compared with trained...
Throughout the COVID-19 pandemic, artificial intelligence tools have played a significant role in tracking, controlling, and predicting the spread of the virus.
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Deep learning tools were able to identify COVID-19 in chest CT scans, indicating that artificial intelligence could enhance diagnosis of the virus, according to a study published in Nature...
A precision medicine method enabled by artificial intelligence could lead to the first biomedical screening tool for a subtype of autism, according to a study published in Nature Medicine.
Autism...
A deep learning tool could improve genomic sequencing processes, identifying disease-causing mechanisms that might otherwise be missed by traditional screening methods, according to a study published...
The potential for artificial intelligence to advance medical imaging and radiology has been well-documented in healthcare research.
From earlier detection and more accurate assessments, to less...
A team from the Lawrence J. Ellison Institute for Transformative Medicine of USC have developed a technique to train a deep learning algorithm for improved cancer diagnostics.
In a study published in...
Researchers at New York Eye and Ear Infirmary of Mount Sinai (NYEE) have developed deep learning tools that can detect age-related macular degeneration (AMD), a leading cause of blindness in the...
A deep learning tool was able to identify a specific genetic mutation in a glioma tumor just by analyzing 3D brain images, with more than 97 percent accuracy.
The findings indicate that in the future,...
Before the world was even conscious of the threat posed by COVID-19, artificial intelligence had detected the beginnings of the outbreak.
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A deep learning device could help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP), a condition that is difficult to diagnose and can lead to vision loss if left...
An autonomous, robotic tool used deep learning and ultrasound imaging to draw blood or insert catheters on par with or better than human providers, according to a study published in Nature Machine...
Researchers could use artificial intelligence to boost efficiencies and precision in sleep disorder treatment, leading to improved care and better patient outcomes, according to a new position...
A deep learning algorithm has identified a new drug that kills many of the world’s most challenging disease-causing bacteria, including some strains of antibiotic-resistant bacteria.
Researchers...
Researchers conducted a large-scale genetic sequencing study of autism spectrum disorder (ASD) and identified 102 genes associated with the condition, which could help clinicians better understand ASD...
One-third of hospitals and imaging centers report using artificial intelligence, machine learning, or deep learning to aid tasks associated with patient care imaging or business operations, according...
New research from UT Southwestern has shown that deep learning technology could help providers quickly develop optimal treatment plans for cancer patients, decreasing the odds that the disease will...
An artificial intelligence model developed by Google and other entities was able to identify breast cancer in screening mammograms with greater accuracy, fewer false positives, and fewer false...