Revolutionizing oral health care: The promise of terahertz radiation for oral oncological lesions DOI Creative Commons

Alice AlSabbag,

Marwan Al‐Raeei

Saudi Journal of Oral Sciences, Journal Year: 2024, Volume and Issue: 11(3), P. 156 - 165

Published: Sept. 1, 2024

Abstract Terahertz (THz) radiation offers nondestructive, nonionizing treatment for medical conditions like tumors and dental diseases. With recent technological advances, it shows promise in accurate imaging, diagnosis, treatment, especially oral oncology. Its potential health care is vast groundbreaking. In the field of medicine oncology, lesions present a significant challenge diagnosis treatment. Common types include fibromas, mucoceles, periodontal cysts, dentigerous root osteonecrosis jaws. Conventional treatments these often involve invasive procedures with side effects. However, use THz waves as diagnostic approach providing safer more effective solutions. By leveraging unique properties photons developing advanced amplification techniques, can target specific precision, minimizing damage to surrounding healthy tissues. Continued research advancements this area have revolutionize management tumors. Utilizing lesion therapy, we precision based on their dissociation energy. This minimizes harm tissues, making alternative ionizing X-rays. The nature reduces risk effects such cell cancer development. Further needed fully understand effectiveness safety therapy various Safety precautions, proper training, ethical considerations are essential when working radiation. approaching technology caution awareness, maximize its benefits while ensuring responsible use.

Language: Английский

The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization DOI

Marwan Al‐Raeei

Sustainable Development, Journal Year: 2024, Volume and Issue: unknown

Published: July 24, 2024

Abstract Future tools for supporting collaborations between technology and sustainable development include artificial intelligence (AI) applications in Urbanization roles. This article highlights the various of AI advancing urbanization. From urban planning to disaster management, is revolutionizing way cities are designed managed. By leveraging data analytics, machine learning, predictive modeling, helping city officials make informed decisions, optimize resource usage, improve quality life residents. Despite immense potential development, there still challenges limitations overcome. We show some most significant problems related these issues. These issues privacy, algorithm bias, ethical considerations. Continued research innovation needed address ensure that used responsibly effectively shaping cities. As a result, has power transform environments create more sustainable, resilient communities. harnessing capabilities AI, can become efficient, environmentally‐friendly, prepared future. It essential policymakers, planners, developers work together harness full urbanization better future all. Proactively addressing unlock combating building

Language: Английский

Citations

24
Trends in the applications of terahertz radiation in oral oncology treatments DOI Creative Commons

Marwan Al‐Raeei

Oral Oncology Reports, Journal Year: 2024, Volume and Issue: 10, P. 100402 - 100402

Published: April 16, 2024

In Terahertz radiation, known as THz-rays, falls within a special range of frequencies in the electromagnetic spectrum, from 0.1 to 10 terahertz. This radiation has unique benefits for medical imaging, security screening, and non-destructive testing. Their capacity pass through non-metallic substances produce detailed images objects not visible naked eye is highly valuable industries like pharmaceuticals, telecommunications, healthcare. Continual research focused on utilizing terahertz technology various purposes, with potential groundbreaking advancements communication, healthcare, security. study highlights using treat dental tumors. The investigates how applying different energy levels can effectively target these tumors mouth. By examining principles its effects tumors, we aim offer insights that could transform treatment conditions future. Through our analysis experiments, demonstrate efficacy advantages dentistry. conclusion, utilization oral tumor treatments poses both promise challenges field oncology. While offers such low coherence, it also hindered by limitations power output, high cost, restricted range. Addressing further research, collaboration, expert oversight essential optimize effectiveness treating With focus safety measures, revolutionize future oncology treatments.

Language: Английский

Citations

10
The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management DOI Creative Commons

Marwan Al‐Raeei

International Dental Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

The future of oral oncology is significantly influenced by the incorporation artificial intelligence (AI) technologies, such as surgical robotics and early histopathological diagnosis detection diseases. This article aims to explore transformative effects AI on identification cancer, emphasising potential improvements in patient outcomes effectiveness treatment options.

Language: Английский

Citations

6
The Role of Artificial Intelligence in Enhancing Breast Disease Management: Early Detection and Prognostic Innovations DOI Creative Commons

Marwan Al‐Raeei

Archives of Medicine and Health Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract In this article, we review the transformative role of artificial intelligence (AI) in detection, diagnosis, and treatment breast cancer, a disease that affects approximately 1 8 women globally. Early detection is critical for improving outcomes survival rates. Traditional diagnostic methods, such as mammograms MRIs, can be subjective prone to error. AI-powered algorithms offer solution by analyzing medical imaging data with exceptional accuracy, identifying subtle abnormalities may indicate early-stage cancer. By enhancing precision, these facilitate quicker diagnoses tailored plans, ultimately patient outcomes. Furthermore, AI has potential predict cancer recurrence assess tumor aggressiveness examining large datasets, providing valuable insights clinicians. This personalized approach allows targeted therapies increase likelihood successful treatment. We explore integration remote monitoring prognostic tools, emphasizing its ability analyze complex patterns more accurate recommendations. However, also discuss limitations AI, need high-quality, diverse interpretability issues, ethical concerns regarding privacy algorithmic bias. Addressing challenges crucial implementation care. Ultimately, article highlights promising future while stressing importance considerations equitable access advanced technologies.

Language: Английский

Citations

0
Predicting Absenteeism at Workplace Using Machine Learning and Network Analysis DOI Creative Commons

Donggeun Kim,

Jai Woo Lee

SAGE Open, Journal Year: 2025, Volume and Issue: 15(2)

Published: April 1, 2025

Absenteeism at work, possibly leading to productivity loss in business, is related various psychological, social, and economic factors. Since predicting absenteeism involved with complex associations of such factors, appropriately utilizing machine learning algorithms required the analysis. Statistical pre-processing applications methods have developed comprehensive analysis massive social data for absenteeism. The aim this study develop a quantitative approach identify factors classify by including effect high-dimensional data. This implements association odds ratio test network analysis, supervised imbalanced classification random forest, application principal component penalized regression methods. dataset includes records types workplace from July 2007 2010 Brazil. Our shows that there exist strongly interacting specific are associated proposed method validated on publicly available sets using forest k-fold cross validation order strengthen better generalizability. One major findings elucidate affecting Application similarly structured improves understanding interplay between important people analytics which can help organizations resolve management difficulties.

Language: Английский

Citations

0
Biomarkers in high grade serous ovarian cancer DOI
Mark C. Bates, Bashir M. Mohamed, F. Park Lewis

et al.

Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Journal Year: 2024, Volume and Issue: unknown, P. 189224 - 189224

Published: Nov. 1, 2024

Language: Английский

Citations

3
Artificial intelligence for climate resilience: advancing sustainable goals in SDGs 11 and 13 and its relationship to pandemics DOI Creative Commons

Marwan Al‐Raeei

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Dec. 23, 2024

Language: Английский

Citations

3
Shaping the future of cancer treatment: The commitment of medical physicists DOI Creative Commons

Marwan Al‐Raeei

AIP Advances, Journal Year: 2024, Volume and Issue: 14(9)

Published: Sept. 1, 2024

The incorporation of medical physics into the field oncology has profoundly changed ways in which cancer is diagnosed and treated. This article highlights essential roles that physicists play care, demonstrating how principles from improve various aspects practices. Our analysis reveals plays a fundamental role optimizing oncological procedures, thereby revolutionizing management cancer. Specifically, are integral to critical areas such as radiation therapy planning, surgical navigation, quality assurance, collectively facilitate personalized effective treatment strategies for patients. By working closely with healthcare professionals, help ensure patients receive top-notch care while minimizing side effects associated treatments. Their dedication innovation research improving both patient outcomes life throughout journey. ongoing partnership between clinicians instrumental propelling advancements clinical practices, leveraging alongside state-of-the-art technologies enhance management. As commit excellence patient-centered they at forefront transforming promising improved hope those battling collaborative effort ensures bright future treatment, where integration not only optimizes therapeutic approaches but also fosters comprehensive understanding care.

Language: Английский

Citations

1
A specific surgical procedure to remove the apices in the upper jaw DOI Creative Commons

Issa Saad,

Marwan Al‐Raeei,

Mohamad Salem Rikab

et al.

Clinical Case Reports, Journal Year: 2024, Volume and Issue: 12(5)

Published: May 1, 2024

Key Clinical Message This clinical case report focuses on a of surgery performed patient with the aim cutting dental apices in patient's upper jaw. Mineral trioxide aggregate (MTA) was used as filling material, and monitoring condition showed that operation successful.

Language: Английский

Citations

0
Creating smiles: a case study on the transformational power of dental CAD/CAM technology DOI Creative Commons

Zeina Darwich,

Atef Darwich,

Marwan Al‐Raeei

et al.

Exploration of Medicine, Journal Year: 2024, Volume and Issue: unknown, P. 459 - 466

Published: June 28, 2024

The integration of digital technologies like CAD/CAM systems and intraoral scanners is transforming the field dentistry, providing numerous benefits for both patients dental professionals. This case study explores significance technology in revolutionizing industry, focusing on creation personalized restorations with precision speed. emphasizes applications showcases state-of-the-art Medit i700 scanner detailed impression scanning. By adopting these advanced technologies, practices can save time, enhance patient satisfaction, reduce costs long run. methodology involved systematic assessments, planning, execution to address cosmetic concerns, resulting a successful transformation patient’s smile using e.max® scanner. highlights importance preference, efficiency, accuracy demonstrating potential effective solutions aesthetic concerns. Embracing advancements patient-centered care crucial delivering high-quality innovative modern dentistry.

Language: Английский

Citations

0