Literature DB >> 30878282

Medical ethics considerations on artificial intelligence.

Kadircan H Keskinbora1.   

Abstract

Artificial intelligence (AI) is currently one of the mostly controversial matters of the world. This article discusses AI in terms of the medical ethics issues involved, both existing and potential. Once artificial intelligence is fully developed within electronic systems, it will afford many useful applications in many sectors ranging from banking, agriculture, medical procedures to military operations, especially by decreasing the involvement of humans in critically dangerous activities. Robots as well as computers themselves are embodiments of values inasmuch as they entail actions and choices, but their practical applications are modelled or programmed by the engineers building the systems. AI will need algorithmic procedures to ensure safety in the implementation of such systems. The AI algorithms written could naturally contain errors that may result in unforeseen consequences and unfair outcomes along economic and racial class lines. It is crucial that measures be taken to monitor technological developments ensuring preventative and precautionary safeguards are in place to safeguard the rights of those involved against direct or indirect coercion. While it is the responsibility of AI researchers to ensure that the future impact is more positive than negative, ethicists and philosophers need to be deeply involved in the development of such technologies from the beginning.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Machine learning; Medical ethics

Mesh:

Year:  2019        PMID: 30878282     DOI: 10.1016/j.jocn.2019.03.001

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  11 in total

1.  Foundations of Machine Learning-Based Clinical Prediction Modeling: Part I-Introduction and General Principles.

Authors:  Julius M Kernbach; Victor E Staartjes
Journal:  Acta Neurochir Suppl       Date:  2022

Review 2.  Current applications of artificial intelligence combined with urine detection in disease diagnosis and treatment.

Authors:  Jun Tan; Feng Qin; Jiuhong Yuan
Journal:  Transl Androl Urol       Date:  2021-04

3.  Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology.

Authors:  Emanuele Neri; Vittorio Miele; Francesca Coppola; Roberto Grassi
Journal:  Radiol Med       Date:  2020-04-29       Impact factor: 3.469

Review 4.  Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.

Authors:  Lena Davidson; Mary Regina Boland
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-04-11       Impact factor: 2.745

5.  Editorial: On the "Human" in Human-Artificial Intelligence Interaction.

Authors:  Stefano Triberti; Ilaria Durosini; Jianyi Lin; Davide La Torre; Manuel Ruiz Galán
Journal:  Front Psychol       Date:  2021-12-24

Review 6.  Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19.

Authors:  Zhaohui Su; Ali Cheshmehzangi; Dean McDonnell; Hengcai Chen; Junaid Ahmad; Sabina Šegalo; Claudimar Pereira da Veiga
Journal:  Int J Environ Res Public Health       Date:  2022-04-03       Impact factor: 3.390

7.  NICU Admission for Term Neonates in a Large Single-Center Population: A Comprehensive Assessment of Risk Factors Using a Tandem Analysis Approach.

Authors:  Shahar Talisman; Joshua Guedalia; Rivka Farkash; Tehila Avitan; Naama Srebnik; Yair Kasirer; Michael S Schimmel; Dunia Ghanem; Ron Unger; Sorina Grisaru Granovsky
Journal:  J Clin Med       Date:  2022-07-22       Impact factor: 4.964

8.  Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication.

Authors:  Rasheed Omobolaji Alabi; Alhadi Almangush; Mohammed Elmusrati; Ilmo Leivo; Antti Mäkitie
Journal:  Int J Environ Res Public Health       Date:  2022-07-08       Impact factor: 4.614

Review 9.  WSES project on decision support systems based on artificial neural networks in emergency surgery.

Authors:  Andrey Litvin; Sergey Korenev; Sophiya Rumovskaya; Massimo Sartelli; Gianluca Baiocchi; Walter L Biffl; Federico Coccolini; Salomone Di Saverio; Michael Denis Kelly; Yoram Kluger; Ari Leppäniemi; Michael Sugrue; Fausto Catena
Journal:  World J Emerg Surg       Date:  2021-09-26       Impact factor: 5.469

10.  Ethics, Artificial Intelligence and Cardiology.

Authors:  Erito Marques de Souza Filho; Fernando de Amorim Fernandes; Nikolas Cunha de Assis Pereira; Claudio Tinoco Mesquita; Ronaldo Altenburg Gismondi
Journal:  Arq Bras Cardiol       Date:  2020-09       Impact factor: 2.667

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