#科技头条#【AI辅助癌症治疗】

#科技头条#【AI辅助癌症治疗】医学领域上人工智能正在应用新药物发现到诊断疾病的各个方面。目前,麻省理工学院的研究人员正在转向机器学习,其目标是使用AI计算出治疗中药物使用的最小剂量,并保持治疗效果不变,以将药物副作用保持在最低限度,提高患者的生活质量,帮助医生更好地进行治疗。

 

By studying patient data, A.I. can limit toxicity in cancer treatment

The A.I. was trained using a method called reinforced learning, similar to how trainers teach pets to obey commands. Do the right action, get a reward. Do the wrong action, don’t get a reward (or even a reprimand). For the A.I., the award wasn’t a treat but a positive or negative number that signaled to the algorithm its success.

The A.I. isn’t meant to take over the jobs of physicians altogether. Rather, it’s meant to guide physicians towards offering more suitable treatment options.

“The recommendations from the algorithm can be used by human experts to design safer and more effective clinical trials,” Pratik Shah, a principal investigator at MIT who supervised the research, told Digital Trends. “These digital algorithmic systems may also inform and educate individual patients about potential trajectories their diseases could take in response to treatments.”

A.I. is becoming increasingly valued in healthcare, and is being applied to everything from discovering new medications to diagnosing diseases.

The MIT research will be presented this week at the 2018 Machine Learning for Healthcare conference at Stanford University.


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