The process of estimating the cost of surgery: providing a practical framework for surgeons

CD Christou, EC Athanasiadou… - … Journal of Health …, 2022 - Wiley Online Library
Over the last decades, health care costs have been increasing at an alarming, exponential
rate which is considered unsustainable. Surgical care utilizes one‐third of health care costs …

[HTML][HTML] Integrated relaxation pressure classification and probe positioning failure detection in high-resolution esophageal manometry using machine learning

Z Czako, T Surdea-Blaga, G Sebestyen, A Hangan… - Sensors, 2021 - mdpi.com
High-resolution esophageal manometry is used for the study of esophageal motility
disorders, with the help of catheters with up to 36 sensors. Color pressure topography plots …

[HTML][HTML] Use of personalized biomarkers in metastatic colorectal cancer and the impact of AI

SR Volovat, I Augustin, D Zob, D Boboc, F Amurariti… - Cancers, 2022 - mdpi.com
Simple Summary Colorectal cancer is one of the most frequent cancers worldwide, with a
high incidence and mortality. Although many treatment options are available for metastatic …

[HTML][HTML] Leveraging machine learning for early recurrence prediction in hepatocellular carcinoma: A step towards precision medicine

A Ravikulan, K Rostami - World Journal of Gastroenterology, 2024 - ncbi.nlm.nih.gov
The high rate of early recurrence in hepatocellular carcinoma (HCC) post curative surgical
intervention poses a substantial clinical hurdle, impacting patient outcomes and …

[HTML][HTML] Hepatitis B virus pathogenesis relevant immunosignals uncovering amino acids utilization related risk factors guide artificial intelligence-based precision …

J Huang, C Zhao, X Zhang, Q Zhao, Y Zhang… - Frontiers in …, 2022 - frontiersin.org
Background: Although immune microenvironment-related chemokines, extracellular matrix
(ECM), and intrahepatic immune cells are reported to be highly involved in hepatitis B virus …

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives

CD Christou, AC Mitsas, I Vlachavas, G Tsoulfas - MicroRNA, 2022 - ingentaconnect.com
MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the
translation and degradation of mRNA and have been associated with many diseases …

Digitizing DILI: Who can? RUCAM? RECAM?

JH Lewis - Hepatology, 2022 - journals.lww.com
The age of machine learning (ML) and artificial intelligence (AI) is poised to dramatically
alter the practice of medicine in many disciplines, including the field of liver disease. How …

[HTML][HTML] Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise

KJ McDonnell - Journal of Clinical Medicine, 2023 - mdpi.com
Over the last 75 years, artificial intelligence has evolved from a theoretical concept and
novel paradigm describing the role that computers might play in our society to a tool with …

Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging

S Kapuria, J Bonyun, Y Kulkarni, N Ikoma… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, to collectively address the existing limitations on endoscopic diagnosis of
Advanced Gastric Cancer (AGC) Tumors, for the first time, we propose (i) utilization and …

[PDF][PDF] Artificial Intelligence-Driven Decision Support Systems for Improved Diagnosis and Treatment in Gastroenterology

MA Muzammil, IJ Mazhar, M Zohair… - Available at SSRN …, 2023 - researchgate.net
Artificial intelligence (AI) has revolutionized diagnosis and treatment in various medical
fields, including gastroenterology. This narrative study examines how AI-driven …