Original Research

Accepted on 06 Nov 2024

Towards Explainable Deep Learning in Healthcare through Transition Matrix and User-Friendly Features

in Medicine and Public Health

Oleksander Barmak
Iurii Krak
Sergiy Yakovlev
Eduard Manziuk
Pavlo Radiuk
Vladislav Kuznetsov

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1482141

154 views

Original Research

Accepted on 06 Nov 2024

Graph Theoretic Visualization of Patient and Health worker Messaging in the EHR

in Medicine and Public Health

Muhammad Zia ul Haq
Andrew Hornback
Arash Harzand
David A. Gutman
Bradley Gallaher
Evan D. Schoenberg
Yuanda Zhu
May Dongmei Wang
Blake Anderson

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1422208

179 views

Original Research

Accepted on 06 Nov 2024

A new optimized hybrid machine learning approach for enhancing sentiment analysis on social media

in Natural Language Processing

Zarindokht Helforoush
Thu Thu Hlaing

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1481870

184 views

Original Research

Accepted on 06 Nov 2024

Evaluation of Large Language Models under different training background in Chinese Medical Examination: A Comparative Study

in Medicine and Public Health

Siwen Zhang
Qi Chu
Yujun Li
Jialu Liu
Jiayi Wang
Chi Yan
Wenxi Liu
Yizhen Wang
Chengcheng Zhao
Xinyue Zhang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1442975

Brief Research Report

Published on 06 Nov 2024

Inpainting of damaged temple murals using edge- and line-guided diffusion patch GAN

in Pattern Recognition

G. Sumathi
M. Uma Devi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1453847

265 views

Original Research

Published on 06 Nov 2024

Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques

in Machine Learning and Artificial Intelligence

William Villegas-Ch
Jaime Govea
Walter Gaibor-Naranjo
Santiago Sanchez-Viteri

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1398126

325 views

Original Research

Accepted on 05 Nov 2024

MLR-Predictor: A Versatile and Efficient Computational Framework for Requirements Multi-label Classification

in Machine Learning and Artificial Intelligence

Summra Saleem
Muhammad Nabeel Asim
Ludger Van Elst
Markus Junker
Andreas Dengel

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1481581

121 views

Opinion

Accepted on 05 Nov 2024

Revolutionizing Smart Grid Security: A Holistic Cyber Defence Strategy

in Machine Learning and Artificial Intelligence

Kiran Kishor Maharana
Bhushankumar Nemade
Vikram Kulkarni
Srivardhankumar Ch
Mahendra Shelar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1476422

184 views

Review

Published on 05 Nov 2024

Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor

in Machine Learning and Artificial Intelligence

Jeremy A. Balch
A. Hayes Chatham
Philip K. W. Hong
Lauren Manganiello
Naveen Baskaran
Azra Bihorac
Benjamin Shickel
Ray E. Moseley
Tyler J. Loftus

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1477447

442 views

Original Research

Published on 05 Nov 2024

Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication

in Medicine and Public Health

Seyed-Ali Sadegh-Zadeh
Sanaz Khanjani
Shima Javanmardi
Bita Bayat
Zahra Naderi
Amir M. Hajiyavand

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1392611

637 views

Original Research

Accepted on 04 Nov 2024

Multimodal Driver Emotion Recognition Using Motor Activity and Facial Expressions

in Pattern Recognition

Carlos H. Espino-Salinas
Huizilopoztli Luna-García
José M. Celaya-Padilla
Cristian Barría-Huidobro
Nadia Karina Gamboa Rosales
David Rondon
Klinge Orlando Villalba-Condori

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1467051

114 views

Original Research

Accepted on 04 Nov 2024

Deception Detection in Educational AI: Challenges for Japanese Middle School Students in Interacting with Generative AI Robots

in AI for Human Learning and Behavior Change

Ahmed Salem
Kaoru Sumi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1493348

Original Research

Accepted on 04 Nov 2024

Socially Interactive Agents for Robotic Neurorehabilitation Training: Conceptualization and Proof-of-concept Study

in Medicine and Public Health

Rhythm Arora
Pooja Prajod
Matteo Lavit Nicora
Daniele Panzeri
Giovanni Tauro
Rocco Vertechy
Matteo Malosio
Elisabeth André
Patrick Gebhard

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1441955

Original Research

Published on 04 Nov 2024

A generative AI-driven interactive listening assessment task

in AI for Human Learning and Behavior Change

Andrew Runge
Yigal Attali
Geoffrey T. LaFlair
Yena Park
Jacqueline Church

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1474019

571 views

Methods

Published on 01 Nov 2024

Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions

in Medicine and Public Health

Geofrey Kapalaga
Florence N. Kivunike
Susan Kerfua
Daudi Jjingo
Savino Biryomumaisho
Justus Rutaisire
Paul Ssajjakambwe
Swidiq Mugerwa
Seguya Abbey
Mulindwa H. Aaron

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1455331

687 views

Opinion

Published on 01 Nov 2024

Using genAI in education: the case for critical thinking

in AI for Human Learning and Behavior Change

Chien Ching Lee
Malcolm Yoke Hean Low

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1452131

921 views

Navigation group

Articles

Towards Explainable Deep Learning in Healthcare through Transition Matrix and User-Friendly Features

Graph Theoretic Visualization of Patient and Health worker Messaging in the EHR

A new optimized hybrid machine learning approach for enhancing sentiment analysis on social media

Evaluation of Large Language Models under different training background in Chinese Medical Examination: A Comparative Study

Inpainting of damaged temple murals using edge- and line-guided diffusion patch GAN

Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques

MLR-Predictor: A Versatile and Efficient Computational Framework for Requirements Multi-label Classification

Revolutionizing Smart Grid Security: A Holistic Cyber Defence Strategy

Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor

Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication

Multimodal Driver Emotion Recognition Using Motor Activity and Facial Expressions

Deception Detection in Educational AI: Challenges for Japanese Middle School Students in Interacting with Generative AI Robots

Socially Interactive Agents for Robotic Neurorehabilitation Training: Conceptualization and Proof-of-concept Study

A generative AI-driven interactive listening assessment task

Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions

Using genAI in education: the case for critical thinking