Robotics & Machine Learning Daily News2024,Issue(Dec.2) :177-178.

New Artificial Intelligence Study Results from College of Medicine Described (As sessing Biological Age the Potential of Ecg Evaluation Using Artificial Intellig ence: Jacc Family Series)

描述了医学院新的人工智能研究结果(As Sessing Biological Agage使用人工智能评估心电图的潜力:Jacc家族系列)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :177-178.

New Artificial Intelligence Study Results from College of Medicine Described (As sessing Biological Age the Potential of Ecg Evaluation Using Artificial Intellig ence: Jacc Family Series)

描述了医学院新的人工智能研究结果(As Sessing Biological Agage使用人工智能评估心电图的潜力:Jacc家族系列)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。据新闻报道来自明尼苏达州罗切斯特,由NewsRx记者报道,研究表明,“生物学年龄可能是一个比实际年龄更有价值的发病率和死亡率预测因子。数学的几十年来,模型一直被用来预测生物年龄,但最近在人工智能方面的发展情报(AI)导致了年龄估计的新能力。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Rochester, Minn esota, by NewsRx correspondents, research stated, “Biological age maybe a more valuable predictor of morbidity and mortality than a person’s chronological age. Mathematicalmodels have been used for decades to predict biological age, but r ecent developments in artificialintelligence (AI) have led to new capabilities in age estimation.”

Key words

Rochester/Minnesota/United States/Nor th and Central America/Artificial Intelligence/Emerging Technologies/Machine Learning/College of Medicine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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