Application of deep learning in teeth identification tasks on panoramic radiographs

F Umer, S Habib, N Adnan - Dentomaxillofacial Radiology, 2022 - academic.oup.com
Objectives: To investigate the current developments of Artificial Intelligence (AI) in teeth
identification on Panoramic Radiographs (PR). Our aim was to evaluate and compare the …

Generative artificial intelligence: synthetic datasets in dentistry

F Umer, N Adnan - BDJ open, 2024 - nature.com
Abstract Introduction Artificial Intelligence (AI) algorithms, particularly Deep Learning (DL)
models are known to be data intensive. This has increased the demand for digital data in all …

Applications of deep learning for drug discovery systems with bigdata

Y Matsuzaka, R Yashiro - BioMedInformatics, 2022 - mdpi.com
The adoption of “artificial intelligence (AI) in drug discovery”, where AI is used in the process
of pharmaceutical research and development, is progressing. By using the ability to process …

An artificial intelligence model for instance segmentation and tooth numbering on orthopantomograms.

N Adnan, W Bin Khalid, F Umer - International Journal of …, 2023 - search.ebscohost.com
Aim: To develop a deep learning (DL) artificial intelligence (AI) model for instance
segmentation and tooth numbering on orthopantomograms (OPGs). Materials and methods …

Smartphone-Assisted Nanozyme Colorimetric Sensor Array Combined “Image Segmentation-Feature Extraction” Deep Learning for Detecting Unsaturated Fatty Acids

X Zhong, Y Qin, C Liang, Z Liang, Y Nong, S Luo… - ACS …, 2024 - ACS Publications
Conventional methods for detecting unsaturated fatty acids (UFAs) pose challenges for rapid
analyses due to the need for complex pretreatment and expensive instruments. Here, we …

[HTML][HTML] Permafrost viremia and immune tweening

J Penhaskashi, O Sekimoto, F Chiappelli - Bioinformation, 2023 - ncbi.nlm.nih.gov
The immune system, an exquisitely regulated physiological system, utilizes a wide spectrum
of soluble factors and multiple cell populations and subpopulations at diverse states of …

Implementation of transfer learning for the segmentation of human mesenchymal stem cells—a validation study

N Adnan, F Umer, S Malik - Tissue and Cell, 2023 - Elsevier
Introduction Stem cell therapy has been gaining interest in the regeneration rather than
repair of lost human tissues. However, the manual analysis of stem cells prior to implantation …

Emergence of Artificial Intelligence and Machine Learning Models in Sudden Cardiac Arrest: A Comprehensive Review of Predictive Performance and Clinical …

H Jain, MDM Marsool, RM Odat, H Noori… - Cardiology in …, 2024 - journals.lww.com
Sudden cardiac death/sudden cardiac arrest (SCD/SCA) is an increasingly prevalent cause
of mortality globally, particularly in individuals with preexisting cardiac conditions. The …

[HTML][HTML] Orthopantomogram teeth segmentation and numbering dataset

N Adnan, F Umer - Data in Brief, 2024 - Elsevier
With the digitization of radiographs, vast amounts of data have become accessible, enabling
the curation and development of extensive datasets. Among radiographic modalities …

[HTML][HTML] Artificial Intelligence in Dentistry

S Shinde, Y Patil, A Jamkhande, Y Shah… - Journal of Indian …, 2024 - journals.lww.com
Artificial intelligence (AI) is a technological breakthrough that is rapidly progressing all over
the world. AI has a variety of uses in medicine and dentistry, ranging from data analysis to …