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- MIT News: AI model identifies certain breast tumor stages likely to progress to invasive cancer
MIT News: AI model identifies certain breast tumor stages likely to progress to invasive cancer
Jacqueline Choi
August 09, 2024
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🏥 MIT News: AI model identifies certain breast tumor stages likely to progress to invasive cancer
📉 Does AI increase productivity at work? New study suggests otherwise
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The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment. Ductal carcinoma in situ (DCIS) is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast cancer. It accounts for about 25 percent of all breast cancer diagnoses.
Because it is difficult for clinicians to determine the type and stage of DCIS, patients with DCIS are often overtreated.
To address this, an interdisciplinary team of researchers from MIT and ETH Zurich developed an AI model that can identify the different stages of DCIS from a cheap and easy-to-obtain breast tissue image. Their model shows that both the state and arrangement of cells in a tissue sample are important for determining the stage of DCIS.
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Artificial intelligence software reduces productivity and harms the working environment, according to a study from the freelance platform, Upwork.
The findings appear to question how AI is being deployed at present, with a lack of understanding between staff and management on aims and expectations. The data suggests a long way to go before the advantages of the evolving technology are fully utilized.
The research was carried out on behalf of Upwork by Walr, earlier this year. 2,500 workers from the US, Canada, the UK, and Australia were polled. The respondents consisted of 1,250 C-suite executives, 625 full-time, salaried employees, and 625 freelancers, made up of different demographics between the ages of 18 and 78.
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