Archives
Volume_2_Issue_4_Aug_2026
Ethical Considerations and Professional Responsibilities: Harnessing the Power of Artificial Intelligence to Enhance Nursing Care and Patient Outcomes.
Artificial intelligence (AI) has emerged as a transformative force in healthcare, offering innovative solutions to complex challenges and opportunities to enhance patient care and outcomes. In the sector of nursing, AI technologies hold the possibility to revolutionize medical practice, enabling nurses to deliver more personalized, efficient, and effective care to
Volume_2_Issue_3_June_2026
Straightening Out the Comparison: Lumbar Spine Imaging in Upright and Supine MRI Systems.
Imaging of the lumbar spine stands as a cornerstone in the diagnostic armamentarium of clinicians worldwide, providing crucial insights into the intricate anatomy and pathological changes within this complex region. As a nexus of bones, intervertebral discs, ligaments, and neural structures, the lumbar spine is susceptible to a myriad of
Volume_2_Issue_2_Apr_2026
Revolutionizing Breast Cancer Detection: Harnessing Artificial Intelligence in Mammography Screening
Breast cancer stands as one of the most pervasive and formidable challenges in modern medicine, affecting millions of lives worldwide each year. Despite significant advances in diagnosis and treatment, its prevalence continues to demand innovative approaches for early detection and intervention. In this context, the convergence of artificial intelligence (AI)
Volume_2_Issue_1_Feb_2026
The Environmental Impact of X-Ray Films: Understanding the Ecological Footprint of Medical Imaging
Medical imaging, a cornerstone of modern healthcare, enables clinicians to peer into the inner workings of the human body with unprecedented clarity and precision. Among the array of imaging modalities, X-ray films have stood as stalwarts, facilitating crucial diagnostic insights for generations of healthcare professionals. However, amidst the clinical efficacy
Volume_1_Issue_1_Dec_2025
Optimizing Radiation Safety in Pediatric DSA:Leveraging Artificial Intelligence for Dose Reduction and Image Quality Enhancement
Digital Subtraction Angiography (DSA) stands as a cornerstone in the diagnosis and treatment of vascular abnormalities in pediatric patients, providing clinicians with invaluable insights into vascular anatomy and pathology[1,2]. However, the indispensable utility of DSA is accompanied by inherent risks, most notably, exposure to ionizing radiation. Pediatric populations, in particular,
Volume_1_Issue_2_Oct_2025
A review-based study to assess dental students' knowledge of ionising radiation.
Radiation is the form of energy, which can travel in space and matter. Radiation can be categorized into two according to their property of ionization, i.e., ejection of electrons from their orbit. Two kinds of radiations are: ionizing radiation and non-ionizing radiation. The field of dental science, make use of