friesner
Machine-learning approach using step counts predicts hospitalization during radiotherapy
An artificial intelligence model appeared to predict the likelihood of unplanned hospitalizations during chemoradiation therapy among a cohort of patients with various cancer types. The results, presented at American Society for Radiation Oncology Annual Meeting, showed the model, which used daily step counts measured through wearable devices as a proxy to monitor patients' health, provided physicians with a real-time method to provide personalized care. About 10% to 20% of patients who undergo outpatient radiation or chemoradiation require acute care via an ED visit or hospital admission during their course of treatment. These unplanned hospitalizations can cause treatment delays and stress that may affect clinical outcomes, according to a press release. "Wearable devices allow for continuous, objective capture of patient-generated health data outside of the clinical setting, which minimizes travel and has the potential to have a more realistic and equitable assessment of a person's health status," Isabel Friesner, clinical data researcher at University of California, San Francisco, said during the presentation.
- Research Report > New Finding (1.00)
- Research Report > Experimental Study (1.00)
AI model using daily step counts predicts unplanned hospitalizations during cancer therapy
An artificial intelligence (AI) model developed by researchers can predict the likelihood that a patient may have an unplanned hospitalization during their radiation treatments for cancer. The machine-learning model uses daily step counts as a proxy to monitor patients' health as they go through cancer therapy, offering clinicians a real-time method to provide personalized care. Findings will be presented today at the American Society for Radiation Oncology (ASTRO) Annual Meeting. An estimated 10-20% of patients who receive outpatient radiation or chemoradiation therapy will need acute care in the form of an emergency department (ED) visit or hospital admission during their cancer treatment. These unplanned hospitalizations can be a major challenge for people undergoing cancer treatment, causing treatment interruptions and stress that may impact clinical outcomes.
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- North America > United States > New York (0.05)
4 times Shakespeare has inspired stories about robots and AI
Science fiction is a genre very much associated with technological marvels, innovations, and visions of the future. So it may be surprising to find so many of its writers are drawn to Shakespeare – he's a figure associated with tradition and the past. Sometimes his plays are reworked in a science fiction setting. The 1956 film Forbidden Planet is just one of many variations on a "Tempest in space" theme. Sometimes the playwright appears as a character caught up in a time travel adventure.
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Four times Shakespeare has inspired stories about robots and AI
Science fiction is a genre very much associated with technological marvels, innovations, and visions of the future. So it may be surprising to find so many of its writers are drawn to Shakespeare – he's a figure associated with tradition and the past. Sometimes his plays are reworked in a science fiction setting. The 1956 film Forbidden Planet is just one of many variations on a "Tempest in space" theme. Sometimes the playwright appears as a character caught up in a time travel adventure.
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Four times Shakespeare has inspired stories about robots and AI
Science fiction is a genre very much associated with technological marvels, innovations, and visions of the future. So it may be surprising to find so many of its writers are drawn to Shakespeare – he's a figure associated with tradition and the past. Sometimes his plays are reworked in a science fiction setting. The 1956 film Forbidden Planet is just one of many variations on a "Tempest in space" theme. Sometimes the playwright appears as a character caught up in a time travel adventure.
- Media (0.33)
- Leisure & Entertainment (0.33)