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Cardiovascular diseases and heart failures in particular are the main cause of non-communicable disease mortality in the world. Constant patient monitoring enables better medical treatment as it allows practitioners to react on time and…

Artificial Intelligence · Computer Science 2021-04-21 Kordian Gontarska , Weronika Wrazen , Jossekin Beilharz , Robert Schmid , Lauritz Thamsen , Andreas Polze

Background: Pancreatic cancer is one of the most aggressive cancers, with poor survival rates. Endoscopic ultrasound (EUS) is a key diagnostic modality, but its effectiveness is constrained by operator subjectivity. This study evaluates a…

Objective: Epileptic seizures are relatively common in critically-ill children admitted to the pediatric intensive care unit (PICU) and thus serve as an important target for identification and treatment. Most of these seizures have no…

Bladder cancer ranks within the top 10 most diagnosed cancers worldwide and is among the most expensive cancers to treat due to the high recurrence rates which require lifetime follow-ups. The primary tool for diagnosis is cystoscopy, which…

Computer Vision and Pattern Recognition · Computer Science 2024-03-07 Meryem Amaouche , Ouassim Karrakchou , Mounir Ghogho , Anouar El Ghazzaly , Mohamed Alami , Ahmed Ameur

Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself. Nevertheless,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-08 Netanel Frank , Erez Posner , Emmanuelle Muhlethaler , Adi Zholkover , Moshe Bouhnik

Integrating real-time artificial intelligence (AI) systems in clinical practices faces challenges such as scalability and acceptance. These challenges include data availability, biased outcomes, data quality, lack of transparency, and…

Image and Video Processing · Electrical Eng. & Systems 2023-08-21 Debesh Jha , Vanshali Sharma , Neethi Dasu , Nikhil Kumar Tomar , Steven Hicks , M. K. Bhuyan , Pradip K. Das , Michael A. Riegler , Pål Halvorsen , Ulas Bagci , Thomas de Lange

Current machine learning models aiming to predict sepsis from Electronic Health Records (EHR) do not account for the heterogeneity of the condition, despite its emerging importance in prognosis and treatment. This work demonstrates the…

Quantitative Methods · Quantitative Biology 2020-11-24 Zina Ibrahim , Honghan Wu , Ahmed Hamoud , Lukas Stappen , Richard Dobson , Andrea Agarossi

Wounds, such as foot ulcers, pressure ulcers, leg ulcers, and infected wounds, come up with substantial problems for healthcare professionals. Prompt and accurate segmentation is crucial for effective treatment. However, contemporary…

Image and Video Processing · Electrical Eng. & Systems 2024-08-22 Md. Zihad Bin Jahangir , Sumaiya Akter , MD Abdullah Al Nasim , Kishor Datta Gupta , Roy George

In the U.S., over a third of adults are pre-diabetic, with 80\% unaware of their status. This underlines the need for better glucose monitoring to prevent type 2 diabetes and related heart diseases. Existing wearable glucose monitors are…

Signal Processing · Electrical Eng. & Systems 2024-06-26 Yidong Zhu , Nadia B Aimandi , Mohammad Arif Ul Alam

Purpose - Functional bowel diseases, including irritable bowel syndrome, chronic constipation, and chronic diarrhea, are some of the most common diseases seen in clinical practice. Many patients describe a range of triggers for altered…

Machine Learning · Computer Science 2019-03-27 David Hachuel , Akshay Jha , Deborah Estrin , Alfonso Martinez , Kyle Staller , Christopher Velez

Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data-driven assistance. In the context of endoscopic video…

Computer Vision and Pattern Recognition · Computer Science 2018-10-22 S. Moccia , S. J. Wirkert , H. Kenngott , A. S. Vemuri , M. Apitz , B. Mayer , E. De Momi , L. S. Mattos , L. Maier-Hein

Cervical spondylosis (CS) is a common chronic disease that affects up to two-thirds of the population and poses a serious burden on individuals and society. The early identification has significant value in improving cure rate and reducing…

Machine Learning · Computer Science 2018-12-13 Nana Wang , Li Cui , Xi Huang , Yingcong Xiang , Jing Xiao

Post-endoscopic gastrointestinal (GI) rebleeding frequently occurs within the first 72 hours after therapeutic hemostasis and remains a major cause of early morbidity and mortality. Existing non-invasive monitoring approaches primarily…

Image and Video Processing · Electrical Eng. & Systems 2026-01-27 Yunhao Bian , Dawei Wang , Mingyang Shen , Xinze Li , Jiayi Shi , Ziyao Zhou , Tiancheng Cao , Hen-Wei Huang

Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers in medical imaging, computer vision, and robotics. Over the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Ke Niu , Zeyun Liu , Xue Feng , Heng Li , Qika Lin , Kaize Shi

Early identification of patients at risk for clinical deterioration in the intensive care unit (ICU) remains a critical challenge. Delayed recognition of impending adverse events, including mortality, vasopressor initiation, and mechanical…

Machine Learning · Computer Science 2026-03-17 Binesh Sadanandan

Colonoscopy is a standard imaging tool for visualizing the entire gastrointestinal (GI) tract of patients to capture lesion areas. However, it takes the clinicians excessive time to review a large number of images extracted from colonoscopy…

Computer Vision and Pattern Recognition · Computer Science 2021-08-09 Kaiwei Che , Chengwei Ye , Yibing Yao , Nachuan Ma , Ruo Zhang , Jiankun Wang , Max Q. -H. Meng

Cervical spondylosis, a complex and prevalent condition, demands precise and efficient diagnostic techniques for accurate assessment. While MRI offers detailed visualization of cervical spine anatomy, manual interpretation remains…

Image and Video Processing · Electrical Eng. & Systems 2025-08-18 Qi Zhang , Xiuyuan Chen , Ziyi He , Lianming Wu , Kun Wang , Jianqi Sun , Hongxing Shen

Ultrasound imaging of the heart (echocardiography) is widely used to diagnose cardiac diseases. However, obtaining an echocardiogram requires an expert sonographer and a high-quality ultrasound imaging device, which are generally only…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Andy Dimnaku , Dominic Yurk , Zhiyuan Gao , Arun Padmanabhan , Mandar Aras , Yaser Abu-Mostafa

Every 20 seconds, a limb is amputated somewhere in the world due to diabetes. This is a global health problem that requires a global solution. The MICCAI challenge discussed in this paper, which concerns the automated detection of diabetic…

CHRONIOUS is an Open, Ubiquitous and Adaptive Chronic Disease Management Platform for Chronic Obstructive Pulmonary Disease(COPD) Chronic Kidney Disease (CKD) and Renal Insufficiency. It consists of several modules: an ontology based…

Artificial Intelligence · Computer Science 2011-03-17 Piero Giacomelli , Giulia Munaro , Roberto Rosso