AI/ML-Based Medical Image Processing and Analysis-Reference-Cited by-同舟云学术

AI/ML-Based Medical Image Processing and Analysis

Published:2023-12-14 Issue:24 Volume:13 Page:3671
ISSN:2075-4418
Container-title:Diagnostics
language:en
Short-container-title:Diagnostics

Author:

Alghazo Jaafar¹^ORCID,Latif Ghazanfar²

Affiliation:

1. Artificial Intelligence Research Initiative, College of Engineering and Mines, University of North Dakota, Grand Forks, ND 58202, USA

2. Computer Science Department, Prince Mohammad Bin Fahd University, Khobar 34754, Saudi Arabia

Abstract

The medical field is experiencing remarkable advancements, notably with the latest technologies—artificial intelligence (AI), big data, high-performance computing (HPC), and high-throughput computing (HTC)—that are in place to offer groundbreaking solutions to support medical professionals in the diagnostic process [...]

Publisher

MDPI AG

Subject

Clinical Biochemistry

Link

https://www.mdpi.com/2075-4418/13/24/3671/pdf

Reference13 articles.

1. (2023, October 10). Center Artificial Intelligence and Machine Learning (AI/ML)—Enabled Medical Devices, Available online: https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices.

2. García-Pola, M., Pons-Fuster, E., Suárez-Fernández, C., Seoane-Romero, J.M., Romero-Méndez, A., and López-Jornet, P. (2021). Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review. Cancers, 13.

3. HealthXAI: Collaborative and Explainable AI for Supporting Early Diagnosis of Cognitive Decline;Khodabandehloo;Future Gener. Comput. Syst.,2021

4. Brain MR Image Classification for Glioma Tumor Detection Using Deep Convolutional Neural Network Features;Latif;Curr. Med. Imaging Rev.,2021

5. Comparison of Performances of Artificial Intelligence versus Expert Endoscopists for Real-Time Assisted Diagnosis of Esophageal Squamous Cell Carcinoma (with Video);Fukuda;Gastrointest. Endosc.,2020

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