Literature DB >> 36204535

Forging Connections in Latin America to Advance AI in Radiology.

Felipe Campos Kitamura1, Felipe Barjud Pereira do Nascimento1, Guillermo Elizondo-Riojas1, Hernán Chaves1, Héctor Henríquez Leighton1, Emmanuel Salinas-Miranda1, Thiago Júlio1, Antônio José da Rocha1, César Higa Nomura1.   

Abstract

The 1° Encontro Latino-Americano de IA em Saúde (1st Latin American Meeting on AI in Health) was held during the 2022 Jornada Paulista de Radiologia, the annual radiology meeting in the state of São Paulo. The event was created to foster discussion among Latin American countries about the complexity, challenges, and opportunities in developing and using artificial intelligence (AI) in those countries. Technological improvements in AI have created high expectations in health care. AI is recognized increasingly as a game changer in clinical radiology. To counter the fear that AI would "take over" radiology, the program included activities to educate radiologists. The development of AI in Latin America is in its early days, and although there are some pioneer cases, many regions still lack world-class technological infrastructure and resources. Legislation, regulation, and public policies in data privacy and protection, digital health, and AI are recent advances in many countries. The meeting program was developed with a broad scope, with expertise from different countries, backgrounds, and specialties, with the objective of encompassing all levels of complexity (from basic concepts to advanced techniques), perspectives (clinical, technical, ethical, and business), and specialties (both informatics and data science experts and the usual radiology clinical groups). It was an opportunity to connect with peers from other countries and share lessons learned about AI in health care in different countries and contexts. Keywords: Informatics, Use of AI in Education, Impact of AI on Education, Social Implications © RSNA, 2022.
© 2022 by the Radiological Society of North America, Inc.

Entities:  

Keywords:  Impact of AI on Education; Informatics; Social Implications; Use of AI in Education

Year:  2022        PMID: 36204535      PMCID: PMC9530756          DOI: 10.1148/ryai.220125

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN: 2638-6100


  12 in total

1.  Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.

Authors:  Adam E Flanders; Luciano M Prevedello; George Shih; Safwan S Halabi; Jayashree Kalpathy-Cramer; Robyn Ball; John T Mongan; Anouk Stein; Felipe C Kitamura; Matthew P Lungren; Gagandeep Choudhary; Lesley Cala; Luiz Coelho; Monique Mogensen; Fanny Morón; Elka Miller; Ichiro Ikuta; Vahe Zohrabian; Olivia McDonnell; Christie Lincoln; Lubdha Shah; David Joyner; Amit Agarwal; Ryan K Lee; Jaya Nath
Journal:  Radiol Artif Intell       Date:  2020-04-29

2.  The RSNA Pulmonary Embolism CT Dataset.

Authors:  Errol Colak; Felipe C Kitamura; Stephen B Hobbs; Carol C Wu; Matthew P Lungren; Luciano M Prevedello; Jayashree Kalpathy-Cramer; Robyn L Ball; George Shih; Anouk Stein; Safwan S Halabi; Emre Altinmakas; Meng Law; Parveen Kumar; Karam A Manzalawi; Dennis Charles Nelson Rubio; Jacob W Sechrist; Pauline Germaine; Eva Castro Lopez; Tomas Amerio; Pushpender Gupta; Manoj Jain; Fernando U Kay; Cheng Ting Lin; Saugata Sen; Jonathan Wesley Revels; Carola C Brussaard; John Mongan
Journal:  Radiol Artif Intell       Date:  2021-01-20

Review 3.  Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.

Authors:  Yasasvi Tadavarthi; Valeria Makeeva; William Wagstaff; Henry Zhan; Anna Podlasek; Neil Bhatia; Marta Heilbrun; Elizabeth Krupinski; Nabile Safdar; Imon Banerjee; Judy Gichoya; Hari Trivedi
Journal:  Radiol Artif Intell       Date:  2022-02-02

4.  Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework.

Authors:  David B Larson; David C Magnus; Matthew P Lungren; Nigam H Shah; Curtis P Langlotz
Journal:  Radiology       Date:  2020-03-24       Impact factor: 11.105

5.  The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings.

Authors:  Yasasvi Tadavarthi; Brianna Vey; Elizabeth Krupinski; Adam Prater; Judy Gichoya; Nabile Safdar; Hari Trivedi
Journal:  Radiol Artif Intell       Date:  2020-11-11

6.  Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.

Authors:  Lea Strohm; Charisma Hehakaya; Erik R Ranschaert; Wouter P C Boon; Ellen H M Moors
Journal:  Eur Radiol       Date:  2020-05-26       Impact factor: 5.315

Review 7.  Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.

Authors:  Samantha Cruz Rivera; Xiaoxuan Liu; An-Wen Chan; Alastair K Denniston; Melanie J Calvert
Journal:  Nat Med       Date:  2020-09-09       Impact factor: 53.440

8.  The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.

Authors:  Alex Zwanenburg; Martin Vallières; Mahmoud A Abdalah; Hugo J W L Aerts; Vincent Andrearczyk; Aditya Apte; Saeed Ashrafinia; Spyridon Bakas; Roelof J Beukinga; Ronald Boellaard; Marta Bogowicz; Luca Boldrini; Irène Buvat; Gary J R Cook; Christos Davatzikos; Adrien Depeursinge; Marie-Charlotte Desseroit; Nicola Dinapoli; Cuong Viet Dinh; Sebastian Echegaray; Issam El Naqa; Andriy Y Fedorov; Roberto Gatta; Robert J Gillies; Vicky Goh; Michael Götz; Matthias Guckenberger; Sung Min Ha; Mathieu Hatt; Fabian Isensee; Philippe Lambin; Stefan Leger; Ralph T H Leijenaar; Jacopo Lenkowicz; Fiona Lippert; Are Losnegård; Klaus H Maier-Hein; Olivier Morin; Henning Müller; Sandy Napel; Christophe Nioche; Fanny Orlhac; Sarthak Pati; Elisabeth A G Pfaehler; Arman Rahmim; Arvind U K Rao; Jonas Scherer; Muhammad Musib Siddique; Nanna M Sijtsema; Jairo Socarras Fernandez; Emiliano Spezi; Roel J H M Steenbakkers; Stephanie Tanadini-Lang; Daniela Thorwarth; Esther G C Troost; Taman Upadhaya; Vincenzo Valentini; Lisanne V van Dijk; Joost van Griethuysen; Floris H P van Velden; Philip Whybra; Christian Richter; Steffen Löck
Journal:  Radiology       Date:  2020-03-10       Impact factor: 29.146

9.  Clinical validation of an artificial intelligence-based diabetic retinopathy screening tool for a national health system.

Authors:  José Tomás Arenas-Cavalli; Ignacio Abarca; Maximiliano Rojas-Contreras; Fernando Bernuy; Rodrigo Donoso
Journal:  Eye (Lond)       Date:  2021-01-11       Impact factor: 3.775

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.