[HTML][HTML] A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care …
M Sallam, M Barakat, M Sallam - Interactive Journal of Medical Research, 2024 - i-jmr.org
Background: Adherence to evidence-based practice is indispensable in health care.
Recently, the utility of generative artificial intelligence (AI) models in health care has been …
Recently, the utility of generative artificial intelligence (AI) models in health care has been …
[PDF][PDF] METRICS: Establishing a preliminary checklist to standardize design and reporting of artificial intelligence-based studies in healthcare
M Sallam, M Barakat, M Sallam - JMIR Preprints, 2023 - researchgate.net
Background: Adherence to evidence-based practice is indispensable in healthcare.
Recently, the utility of artificial intelligence (AI)-based models in healthcare has been …
Recently, the utility of artificial intelligence (AI)-based models in healthcare has been …
RU-Net2+: A deep learning algorithm for accurate brain tumor segmentation and survival rate prediction
R Zaitoon, H Syed - IEEE Access, 2023 - ieeexplore.ieee.org
Brain tumors present a significant medical concern, posing challenges in both diagnosis and
treatment. Deep learning has emerged as an evolving technique for automating the …
treatment. Deep learning has emerged as an evolving technique for automating the …
Deep learning based active image steganalysis: a review
P Bedi, A Singhal, V Bhasin - International Journal of System Assurance …, 2024 - Springer
Steganalysis plays a vital role in cybersecurity in today's digital era where exchange of
malicious information can be done easily across web pages. Steganography techniques are …
malicious information can be done easily across web pages. Steganography techniques are …
[PDF][PDF] METRICS: establishing a preliminary checklist to standardize the design and reporting of generative artificial intelligence-based studies in healthcare education …
M Sallam, M Barakat, M Sallam - Interact J Med Res, 2024 - researchgate.net
Background: Adherence to evidence-based practice is indispensable in healthcare.
Recently, the utility of artificial intelligence (AI)-based models in healthcare has been …
Recently, the utility of artificial intelligence (AI)-based models in healthcare has been …
A vision-based nondestructive detection network for rail surface defects
S Bai, L Yang, Y Liu - Neural Computing and Applications, 2024 - Springer
The inspection and diagnosis of building engineering involve rail surface defect detection,
which plays a crucial role in assessing the quality of railway tracks. However, achieving …
which plays a crucial role in assessing the quality of railway tracks. However, achieving …
[图书][B] Modellierung komplexer Prozesse durch naturanaloge Verfahren: Künstliche Intelligenz und Künstliches Leben
C Klüver, J Klüver, J Schmidt - 2024 - books.google.com
Dieses Buch ist eine Einführung in naturanaloge Techniken und verwandte formale
Methoden. Zu jeder Technik werden Anwendungsbeispiele gegeben. Dargestellt werden …
Methoden. Zu jeder Technik werden Anwendungsbeispiele gegeben. Dargestellt werden …
From interpretation to explanation: An analytical examination of deep neural network with linguistic rule-based model
A Toofani, L Singh, S Paul - Computers and Electrical Engineering, 2024 - Elsevier
Abstract The Deep Learning (DL) models stand out as one of the most popular and widely
adopted machine learning techniques across various applications, owing to their capability …
adopted machine learning techniques across various applications, owing to their capability …
Cross-Attention Fusion of Visual and Geometric Features for Large Vocabulary Arabic Lipreading
S Daou, A Rekik, A Ben-Hamadou, A Kallel - arXiv preprint arXiv …, 2024 - arxiv.org
Lipreading involves using visual data to recognize spoken words by analyzing the
movements of the lips and surrounding area. It is a hot research topic with many potential …
movements of the lips and surrounding area. It is a hot research topic with many potential …
Neural network-based time stepping scheme for multiscale partial differential equations
A Hamid, D Rafiq, SA Nahvi… - 2023 7th International …, 2023 - ieeexplore.ieee.org
The macroscopic coherent behavior in complex systems usually may occur from the
interactions of microscopic agents, such as molecules, cells and individuals in a population …
interactions of microscopic agents, such as molecules, cells and individuals in a population …