The promise of artificial intelligence in digestive healthcare and the bioethics challenges it presents

M Mascarenhas, J Afonso, T Ribeiro, P Andrade… - Medicina, 2023 - mdpi.com
With modern society well entrenched in the digital area, the use of Artificial Intelligence (AI)
to extract useful information from big data has become more commonplace in our daily lives …

Evaluation of attitudes and perceptions in students about the use of artificial intelligence in dentistry

M Karan-Romero, RE Salazar-Gamarra… - Dentistry Journal, 2023 - mdpi.com
Background: The implementation of artificial intelligence brings with it a great change in
health care, however, there is a discrepancy about the perceptions and attitudes that dental …

[HTML][HTML] Artificial intelligence in gastrointestinal endoscopy: a comprehensive review

H Ali, MA Muzammil, DS Dahiya, F Ali… - Annals of …, 2024 - ncbi.nlm.nih.gov
Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant
leap forward in managing GI disorders. AI-enabled applications, such as computer-aided …

Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health Care

M Mascarenhas, T Ribeiro, J Afonso, F Mendes… - Diagnostics, 2023 - mdpi.com
The surge in the implementation of artificial intelligence (AI) in recent years has permeated
many aspects of our life, and health care is no exception. Whereas this technology can offer …

From Data to Insights: How Is AI Revolutionizing Small-Bowel Endoscopy?

J Mota, MJ Almeida, F Mendes, M Martins, T Ribeiro… - Diagnostics, 2024 - mdpi.com
The role of capsule endoscopy and enteroscopy in managing various small-bowel
pathologies is well-established. However, their broader application has been hampered …

[PDF][PDF] Deep learning and minimally invasive endoscopy: Automatic classification of pleomorphic gastric lesions in capsule endoscopy

M Mascarenhas, F Mendes, T Ribeiro… - Clinical and …, 2022 - journals.lww.com
Methods–Our group developed a CNN-based algorithm for the automatic classification of
pleomorphic gastric lesions, including vascular lesions (angiectasia, varices and red spots) …

Study of capsule endoscopy delivery at scale through enhanced artificial intelligence‐enabled analysis (the CESCAIL study)

II Lei, K Tompkins, E White, A Watson… - Colorectal …, 2023 - Wiley Online Library
Aim Lower gastrointestinal (GI) diagnostics have been facing relentless capacity constraints
for many years, even before the COVID‐19 era. Restrictions from the COVID pandemic have …

Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy

T Ribeiro, MJ Mascarenhas Saraiva, J Afonso… - Medicina, 2023 - mdpi.com
Background and objectives: Capsule endoscopy (CE) is a non-invasive method to inspect
the small bowel that, like other enteroscopy methods, requires adequate small-bowel …

Diagnostic accuracy of artificial intelligence-aided capsule endoscopy (TOP100) in overt small bowel bleeding

A Giordano, M Escapa, M Urpí-Ferreruela… - Surgical …, 2023 - Springer
Background Capsule endoscopy (CE) is the first-choice exploration in case of overt small
bowel bleeding (SBB). An early CE is known to increase diagnostic yield, but long reading …

Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology

M Brandão, F Mendes, M Martins, P Cardoso… - Journal of Clinical …, 2024 - mdpi.com
Artificial intelligence has yielded remarkably promising results in several medical fields,
namely those with a strong imaging component. Gynecology relies heavily on imaging since …