AI in Health
Artificial Intelligence and machine learning, in many forms, are becoming vital and transformative tools in the health and medicine spaces. Here's the latest advances in this fast-developing field.
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In what will soon be commonplace in drug research, scientists have used an artificial-intelligence algorithmic program to identify a compound, currently used in antimalarial treatment, that can effectively reverse the bone deterioration of osteoporosis.
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September 27, 2023Researchers have developed an AI model that can predict in real-time whether a surgeon has removed all cancerous tissue during breast cancer surgery. The model performed as well as, or better than, human doctors.
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August 02, 2023A new study found that a single radiologist screening mammograms picked up more incidents of breast cancer when supported by AI. The researchers say an AI-supported approach would be a safe alternative to having two radiologists read the scans.
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July 07, 2023Researchers at Harvard Medical School have developed a new AI-powered tool to help brain surgeons combat cancer. CHARM rapidly evaluates tumorous tissue during surgery to help professionals make on-the-spot decisions about how to proceed.
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June 27, 2023Australian researchers have developed an AI algorithm called SpermSearch that can accurately identify sperm in severely infertile men in a fraction of the time it takes scientists, providing hope to men who want to father biological children.
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June 15, 2023Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way to identify new drugs, especially for complex diseases.
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February 27, 2023Scientists have a good understanding of how brain circuitry is affected by epilepsy, but not a lot is known about how epilepsy affects behavior. A new study has used AI on mice to catch epilepsy-related behavior that can be missed by the human eye.
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July 21, 2022Sepsis is a life-threatening complication causes more than 250,000 deaths in the US each year, but a new AI system developed at Johns Hopkins University promises to make a real difference in this area, by catching key symptoms early on.
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March 23, 2022A new AI tool can accurately measure plaque deposits in arteries and predict a patient’s risk of suffering a heart attack within five years. The tool promises to achieve in seconds what has previously taken trained experts up to 30 minutes to deliver.
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May 31, 2021Everyone responds to general anesthetics differently, which can make administering the correct dose tricky. A new device is designed to help, by continuously monitoring anesthetic levels in patients' bloodstreams during surgical procedures.
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April 11, 2021Scientists may have identified three new subtypes of multiple sclerosis. Analyzing thousands of MRI scans, AI algorithms uncovered patterns regarding which areas of the brain are affected first, which could lead to more focused treatment options.
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March 11, 2021Antibiotic-resistant “superbugs" pose a serious public health threat. New antibiotics are needed to turn the tide, but developing them takes time. Now IBM Research has set AI on the task, producing two promising new drug candidates very quickly.
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February 18, 2021Using AI to spot melanoma in its early stages is an exciting possibility, and a new deep-learning system developed by Harvard and MIT scientists promises a new level of sophistication, by using a method known as the “ugly duckling” criteria.
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October 04, 2020One of the ways physicians can gain some forewarning of impending heart failure is through the detection of excess fluid in the lungs, and MIT researchers have developed a new machine learning tool that could offer them a helping hand.
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August 19, 2020A new study has validated the efficacy of a novel AI algorithm designed to deliver accurate MRI results using a quarter of the data of current systems. This innovation promises to speed up MRI scans without upgrades to pre-existing imaging hardware.
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May 14, 2020Scientists in the UK have developed a new AI algorithm that could help narrow the margin for error in diagnosing brain injuries, with the ability to detect and categorize different types of lesions to gauge the extent of the damage.
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