Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease
M Iacucci, G Santacroce, I Zammarchi… - The Lancet …, 2024 - thelancet.com
Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to
revolutionise clinical practice and research. Artificial intelligence harnesses advanced …
revolutionise clinical practice and research. Artificial intelligence harnesses advanced …
Challenges and opportunities of applying artificial intelligence to burn wound management: a narrative review
MK Shah, AL Couper, S Sandanasamy… - Journal of Nursing …, 2024 - jnursrcp.com
Burn injuries represent a significant global health challenge, leading to substantial morbidity
and mortality. Effective burn wound management is critical to improving patient outcomes …
and mortality. Effective burn wound management is critical to improving patient outcomes …
A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future Outlook
S Agrawal, S Vagha - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Prostate cancer remains a significant global health challenge, characterized by high
incidence and substantial morbidity and mortality rates. Early detection is critical for …
incidence and substantial morbidity and mortality rates. Early detection is critical for …
Shaping the future of cancer treatment: The commitment of medical physicists
M Al-Raeei - AIP Advances, 2024 - pubs.aip.org
The incorporation of medical physics into the field of oncology has profoundly changed the
ways in which cancer is diagnosed and treated. This article highlights the essential roles that …
ways in which cancer is diagnosed and treated. This article highlights the essential roles that …
[HTML][HTML] Technology‐enabled patient care in medical radiation sciences: the two sides of the coin
C Malamateniou - Journal of Medical Radiation Sciences, 2024 - pmc.ncbi.nlm.nih.gov
This is an exciting time to be working in healthcare and medical radiation sciences. This
article discusses the potential benefits and risks of new technological interventions for …
article discusses the potential benefits and risks of new technological interventions for …
[PDF][PDF] Towards personalized medication planning
Personalized medication plans determine the selection, dosage, and administration
schedule of medications, to achieve medical goals that are specific to the patient and to its …
schedule of medications, to achieve medical goals that are specific to the patient and to its …
Artificial intelligence to unlock real‐world evidence in clinical oncology: A primer on recent advances
Purpose Real world evidence is crucial to understanding the diffusion of new oncologic
therapies, monitoring cancer outcomes, and detecting unexpected toxicities. In practice, real …
therapies, monitoring cancer outcomes, and detecting unexpected toxicities. In practice, real …
Perspectives for using artificial intelligence techniques in radiation therapy
The integration of artificial intelligence (AI) techniques into radiation therapy (RT) represents
a unique opportunity to significantly enhance accuracy, efficiency and outcomes of radiation …
a unique opportunity to significantly enhance accuracy, efficiency and outcomes of radiation …
[PDF][PDF] Artificial Intelligence and Statistical Models for the Prediction of Radiotherapy Toxicity in Prostate Cancer: A Systematic Review
Background: Prostate cancer (PCa) is the second most common cancer in men, and
radiotherapy (RT) is one of the main treatment options. Although effective, RT can cause …
radiotherapy (RT) is one of the main treatment options. Although effective, RT can cause …
Descriptive overview of AI applications in x-ray imaging and radiotherapy
J Damilakis, J Stratakis - Journal of Radiological Protection, 2024 - iopscience.iop.org
Artificial intelligence (AI) is transforming medical radiation applications by handling complex
data, learning patterns, and making accurate predictions, leading to improved patient …
data, learning patterns, and making accurate predictions, leading to improved patient …