Original Research

Published on 13 Aug 2021

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data

in Medicine and Public Health

Fernanda Sumika Hojo De Souza
Natália Satchiko Hojo-Souza
Edimilson Batista Dos Santos
Cristiano Maciel Da Silva
Daniel Ludovico Guidoni

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.579931

11,410 views
43 citations

Original Research

Published on 12 Aug 2021

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data

in Medicine and Public Health

Alexandra L. Young
Jacob W. Vogel
Leon M. Aksman
Peter A. Wijeratne
Arman Eshaghi
Neil P. Oxtoby
Steven C. R. Williams
Daniel C. Alexander
for the Alzheimer’s Disease Neuroimaging Initiative

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.613261

9,271 views
28 citations

Technology and Code

Published on 05 Aug 2021

Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review

in Medicine and Public Health

Thomas Bozada
James Borden
Jeffrey Workman
Mardo Del Cid
Jennifer Malinowski
Thomas Luechtefeld

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.685298

16,169 views
55 citations

Original Research

Published on 02 Aug 2021

DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction

in Medicine and Public Health

Arjun Bhatt
Ruth Roberts
Xi Chen
Ting Li
Skylar Connor
Qais Hatim
Mike Mikailov
Weida Tong
Zhichao Liu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.711467

11,264 views
5 citations

Review

Published on 21 Jul 2021

AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review

in Medicine and Public Health

Hanqiu Deng
Xingyu Li

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.612914

3,786 views
8 citations

Perspective

Published on 20 Jul 2021

AI-Assisted CT as a Clinical and Research Tool for COVID-19

in Medicine and Public Health

Zion Tsz Ho Tse
Sierra Hovet
Hongliang Ren
Tristan Barrett
Sheng Xu
Baris Turkbey
Bradford J. Wood

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.590189

4,305 views
2 citations

Original Research

Published on 16 Jul 2021

Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network

in Medicine and Public Health

Mizuho Nishio
Koji Fujimoto
Hidetoshi Matsuo
Chisako Muramatsu
Ryo Sakamoto
Hiroshi Fujita

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.694815

10,498 views
28 citations

Correction

Published on 12 Jul 2021

Corrigendum: A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2)

in Medicine and Public Health

Michael Germuska
Hannah Louise Chandler
Thomas Okell
Fabrizio Fasano
Valentina Tomassini
Kevin Murphy
Richard G. Wise

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.614245

1,036 views

Systematic Review

Published on 08 Jul 2021

Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis

in Medicine and Public Health

Zahra Hoodbhoy
Uswa Jiwani
Saima Sattar
Rehana Salam
Babar Hasan
Jai K. Das

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.708365

10,484 views
27 citations

Original Research

Published on 29 Jun 2021

Deep Learning–Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability

in Medicine and Public Health

Dan Nguyen
Fernando Kay
Jun Tan
Yulong Yan
Yee Seng Ng
Puneeth Iyengar
Ron Peshock
Steve Jiang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.694875

7,578 views
25 citations

Original Research

Published on 24 Jun 2021

Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning

in Medicine and Public Health

Sneha Desai
Myriam Tanguay-Sela
David Benrimoh
Robert Fratila
Eleanor Brown
Kelly Perlman
Ann John
Marcos DelPozo-Banos
Nancy Low
Sonia Israel

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.561528

3,709 views
4 citations

Original Research

Published on 22 Jun 2021

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

in Medicine and Public Health

Elham Jamshidi
Amirhossein Asgary
Nader Tavakoli
Alireza Zali
Farzaneh Dastan
Amir Daaee
Mohammadtaghi Badakhshan
Hadi Esmaily
Seyed Hamid Jamaldini
Saeid Safari

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.673527

7,315 views
19 citations

Original Research

Published on 18 Jun 2021

Learning Medical Materials From Radiography Images

in Medicine and Public Health

Carson Molder
Benjamin Lowe
Justin Zhan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.638299

2,067 views
2 citations

Mini Review

Published on 07 Jun 2021

Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning

in Medicine and Public Health

Wei Luo

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.627369

7,665 views
13 citations

Editorial

Published on 07 Jun 2021

Editorial: Probabilistic Perspectives on Brain (Dys)function

in Medicine and Public Health

Thomas Parr
Dimitrije Marković
Maxwell James D. Ramstead
Ryan Smith
Casper Hesp
Karl Friston

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.710179

1,776 views
1 citation

Opinion

Published on 04 Jun 2021

Digital Slide Assessment for Programmed Death-Ligand 1 Combined Positive Score in Head and Neck Squamous Carcinoma: Focus on Validation and Vision

in Medicine and Public Health

Albino Eccher
Ilaria Girolami
Giancarlo Troncone
Liron Pantanowitz

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.684034

1,724 views
4 citations

Navigation group

Articles

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data

Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review

DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction

AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review

AI-Assisted CT as a Clinical and Research Tool for COVID-19

Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network

Corrigendum: A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2)

Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis

Deep Learning–Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability

Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Learning Medical Materials From Radiography Images

Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning

Editorial: Probabilistic Perspectives on Brain (Dys)function

Digital Slide Assessment for Programmed Death-Ligand 1 Combined Positive Score in Head and Neck Squamous Carcinoma: Focus on Validation and Vision