Can AI outperform radiologists in detecting lung issues? New study weighs in
In a recent study published in the journal Radiology, researchers evaluated the diagnostic accuracy of four artificial intelligence (AI) tools ...
Tag: Radiology
AI algorithm with high diagnostic accuracy helps improve lung cancer detection
Assistance from an artificial intelligence (AI) algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest ...
AI program can read physicians' notes to make useful assessments about patient health status
An artificial intelligence (AI) computer program can read physicians' notes to accurately estimate patients' risk of death, length of hospital ...
Hand-gesture decoding using data from noninvasive brain imaging
Researchers from University of California San Diego have found a way to distinguish among hand gestures that people are making ...
Study opens new possibilities of tailoring radiopharmaceutical treatment to neuroendocrine cancer patients
A simple blood draw can provide physicians with valuable information that can determine if peptide receptor radionuclide therapy (PRRT) is ...
Novel therapeutic eradicates gastric cancer in treated mice
A novel cancer therapeutic, combining antibody fragments with molecularly engineered nanoparticles, permanently eradicated gastric cancer in treated mice, a multi-institutional ...
Innovative method to spot bacteria in blood, wastewater, and more
Shine a laser on a drop of blood, mucus, or wastewater, and the light reflecting back can be used to ...
Precise 3D imaging can help measure radiation during cancer treatment
Radiation, used to treat half of all cancer patients, can be measured during treatment for the first time with precise ...
AI won't replace radiologists, yet!
A recent study published in The British Medical Journal tested whether artificial intelligence (AI) could pass the examination for the ...
Artificial intelligence not yet ready to replace radiologists, study finds
Artificial intelligence (AI) is currently unable to pass one of the qualifying radiology examinations, suggesting that this promising technology is ...
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