Literature DB >> 29927745

History of disruptions in laboratory medicine: what have we learned from predictions?

Larry J Kricka1.   

Abstract

Predictions about the future of laboratory medicine have had a mixed success, and in some instances they have been overambitious and incorrectly assessed the future impact of emerging technologies. Current predictions suggest a more highly automated and connected future for diagnostic testing. The central laboratory of the future may be dominated by more robotics and more connectivity in order to take advantage of the benefits of the Internet of Things and artificial intelligence (AI)-based systems (e.g. decision support software and imaging analytics). For point-of-care testing, mobile health (mHealth) may be in the ascendancy driven by healthcare initiatives from technology companies such as Amazon, Apple, Facebook, Google, IBM, Microsoft and Uber.

Entities:  

Keywords:  AI; future; mHealth; predictions; robotics

Mesh:

Year:  2019        PMID: 29927745     DOI: 10.1515/cclm-2018-0518

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  4 in total

1.  Integrating Artificial Intelligence for Clinical and Laboratory Diagnosis - a Review.

Authors:  Taran Rishit Undru; Utkarsha Uday; Jyothi Tadi Lakshmi; Ariyanachi Kaliappan; Saranya Mallamgunta; Shalam Sheerin Nikhat; V Sakthivadivel; Archana Gaur
Journal:  Maedica (Bucur)       Date:  2022-06

Review 2.  Surgical data science - from concepts toward clinical translation.

Authors:  Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park; Carla Pugh; Danail Stoyanov; Swaroop S Vedula; Kevin Cleary; Gabor Fichtinger; Germain Forestier; Bernard Gibaud; Teodor Grantcharov; Makoto Hashizume; Doreen Heckmann-Nötzel; Hannes G Kenngott; Ron Kikinis; Lars Mündermann; Nassir Navab; Sinan Onogur; Tobias Roß; Raphael Sznitman; Russell H Taylor; Minu D Tizabi; Martin Wagner; Gregory D Hager; Thomas Neumuth; Nicolas Padoy; Justin Collins; Ines Gockel; Jan Goedeke; Daniel A Hashimoto; Luc Joyeux; Kyle Lam; Daniel R Leff; Amin Madani; Hani J Marcus; Ozanan Meireles; Alexander Seitel; Dogu Teber; Frank Ückert; Beat P Müller-Stich; Pierre Jannin; Stefanie Speidel
Journal:  Med Image Anal       Date:  2021-11-18       Impact factor: 13.828

3.  The role of the doctor in precision medicine.

Authors:  Tatiana Ferreira de Almeida
Journal:  Einstein (Sao Paulo)       Date:  2019-06-27

Review 4.  Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review.

Authors:  Zubair Ahmad; Shabina Rahim; Maha Zubair; Jamshid Abdul-Ghafar
Journal:  Diagn Pathol       Date:  2021-03-17       Impact factor: 2.644

  4 in total

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