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Deep medicine : (Record no. 34668)

MARC details
000 -LEADER
fixed length control field 02203nam a22001817a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210423b2019 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781541644632
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number W 61.
100 ## - MAIN ENTRY--PERSONAL NAME
Personal author Topol, Eric
245 ## - TITLE STATEMENT
Title Deep medicine :
Subtitle how artificial intelligence can make healthcare human again
260 ## - PUBLICATION INFORMATION
Place of publication New York :
Publisher Basic Books,
Date 2019
300 ## - PHYSICAL DESCRIPTION
Physical description xiii, 378p.
520 ## - ABSTRACT
Abstract A visit to a physician these days is cold: physicians spend most of their time typing at computers, making minimal eye contact. Appointments generally last only a few minutes, with scarce time for the doctor to connect to a patient's story, or explain how and why different procedures and treatments might be undertaken. As a result, errors abound: indeed, misdiagnosis is the fourth-leading cause of death in the United States, trailing only heart disease, cancer, and stroke. This is because, despite having access to more resources than ever, doctors are vulnerable not just to the economic demand to see more patients, but to distraction, burnout, data overload, and their own intrinsic biases. Physicians are simply overmatched.<br/>As Eric Topol argues in Deep Medicine, artificial intelligence can help. Natural-language processing could automatically record notes from our doctor visits; virtual psychiatrists could better predict the risk of suicide or other mental health issues for vulnerable patients; deep-learning software will make every physician a master diagnostician; and we could even use smartphone apps to take our own medical "selfies" for skin exams and receive immediate analysis. . On top of that, the virtual smartphone assistants of today - Alexa, Siri, Cortana, could analyze our daily health data to reduce the need for doctor visits and trips to the emergency room, and support for people suffering from asthma, epilepsy, and heart disease. By integrating tools like these into their daily medical practice, doctors would be able to spend less time collecting and cataloging information, and more time providing thorough, intimate, and meaningful care for their patients, as no machine can.
650 ## - SUBJECT HEADINGS
Subject term Artificial intelligence
650 ## - SUBJECT HEADINGS
Subject term Humanity
650 ## - SUBJECT HEADINGS
Subject term Technology
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC Do not Suppress in OPAC
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type Total Checkouts Total Renewals Date last borrowed Checked out
          Newcomb Library at Homerton Healthcare Newcomb Library at Homerton Healthcare Shelves 17/09/2019 W 26.5 TOP 17217 29/09/2022 29/09/2022 Book        
    National Library of Medicine     PRUH Education Centre Library PRUH Education Centre Library Shelves 23/04/2021 W 61 B04827 23/04/2021 23/04/2021 Book        
    National Library of Medicine     CEME Library (NELFT) PRUH Education Centre Library Shelves 20/04/2022 QA139 NE14230 01/11/2023 20/04/2022 Book 2 1 01/11/2023  
          Royal London Library (Barts Health) Royal London Library (Barts Health) Shelves 20/04/2022 QA 139 TOP N05566 15/11/2023 20/04/2022 Book 2 4 15/11/2023 06/12/2023
          St Bartholomew's Library (Barts Health) St Bartholomew's Library (Barts Health) Shelves 20/04/2022 QA 139 TOP T06625 20/04/2022 20/04/2022 Book        
          Whipps Cross Library (Barts Health) Whipps Cross Library (Barts Health) Shelves 20/04/2022 QA 139 TOP T06626 24/08/2023 20/04/2022 Book 1 1 13/07/2023  
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