Literature DB >> 33158905

How Much Can Potential Jurors Tell Us About Liability for Medical Artificial Intelligence?

W Nicholson Price1,2, Sara Gerke2,3, I Glenn Cohen2,3.   

Abstract

Mesh:

Year:  2020        PMID: 33158905     DOI: 10.2967/jnumed.120.257196

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


× No keyword cloud information.
  2 in total

Review 1.  Digital health technology-specific risks for medical malpractice liability.

Authors:  Simon P Rowland; J Edward Fitzgerald; Matthew Lungren; Elizabeth Hsieh Lee; Zach Harned; Alison H McGregor
Journal:  NPJ Digit Med       Date:  2022-10-20

Review 2.  Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection.

Authors:  Alessandro Allegra; Alessandro Tonacci; Raffaele Sciaccotta; Sara Genovese; Caterina Musolino; Giovanni Pioggia; Sebastiano Gangemi
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.