The First AI Breast Cancer Sleuth that Shows its Work
Computer engineers and radiologists at Duke University have developed an artificial intelligence (AI) platform to analyze potentially cancerous lesions in mammography scans to determine if a patient should receive an invasive biopsy. But unlike its many predecessors, this algorithm is interpretable, meaning it shows physicians exactly how it came to its conclusions.
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Helping Cancer Patients Avoid Excessive Radiation
A Case Western Reserve University-led team of scientists has used Artificial Intelligence (AI) to identify which patients with certain head and neck cancers would benefit from reducing the intensity of treatments such as radiation therapy and chemotherapy.
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4.5 Million Euros in EU Funding for Saarbrücken Computer Science Research
This year, three computer scientists from Saarbrücken were awarded an "ERC Starting Grant" by the European Research Council. This award, endowed with 1.5 million euros each, is among the most prestigious research grants worldwide. It is intended to support particularly promising research of young scientists. The awarded projects are in the fields of artificial intelligence and cybersecurity.
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Mayo Clinic Researchers Use AI, Biomarkers to Personalize Rheumatoid Arthritis Treatment
Treatment options for rheumatoid arthritis have often relied on trial and error. Now Mayo Clinic researchers are exploring the use of artificial intelligence (AI) and pharmacogenomics to predict how patients will respond to treatments, and to personalize care. Findings were published in Arthritis Care & Research.
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Computer Model of Blood Enzyme
Membrane-associated proteins play a vital role in a variety of cellular processes, yet little is known about the membrane-association mechanism. Lipoprotein-associated phospholipase A2 (Lp-PLA2) is one such protein with an important role in cardiovascular health, but its mechanism of action on the phospholipid membrane was unknown.
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AI Points the Way to Better Doctor-Patient Communication
A computer analysis of hundreds of thousands of secure email messages between doctors and patients found that most doctors use language that is too complex for their patients to understand. The study also uncovered strategies some doctors use to overcome communication barriers.
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Could EKGs Help Doctors use AI to Detect Pulmonary Embolisms?
Pulmonary embolisms are dangerous, lung-clogging blot clots. In a pilot study, scientists at the Icahn School of Medicine at Mount Sinai showed for the first time that artificial intelligence (AI) algorithms can detect signs of these clots in electrocardiograms (EKGs), a finding which may one day help doctors with screening.
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