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Appropriate antithrombotic therapy for patients with atrial fibrillation (AF) requires assessment of ischemic stroke and bleeding risks. However, risk stratification schemas such as CHA2DS2-VASc and HAS-BLED have modest predictive capacity…

Heart disease is the leading cause of death, and experts estimate that approximately half of all heart attacks and strokes occur in people who have not been flagged as "at risk." Thus, there is an urgent need to improve the accuracy of…

Machine Learning · Computer Science 2018-08-23 Nathalie-Sofia Tomov , Stanimire Tomov

Coronary microvascular dysfunction (CMD), characterized by impaired regulation of blood flow in the coronary microcirculation, plays a key role in the pathogenesis of ischemic heart disease and is increasingly recognized as a contributor to…

Computational Engineering, Finance, and Science · Computer Science 2025-12-25 Haizhou Yang , Jiyang Zhang , Brahmajee K. Nallamothu , Krishna Garikipati , C. Alberto Figueroa

Coronary CT angiography (CCTA) has established its role as a non-invasive modality for the diagnosis of coronary artery disease (CAD). The CAD-Reporting and Data System (CAD-RADS) has been developed to standardize communication and aid in…

Medical diagnosis requires the effective synthesis of visual manifestations and clinical metadata. However, existing methods often treat metadata as isolated tags, failing to exploit the rich semantic knowledge embedded in clinical…

Computer Vision and Pattern Recognition · Computer Science 2026-02-27 Yiqing Wang , Chunming He , Ming-Chen Lu , Mercy Pawar , Leslie Niziol , Maria Woodward , Sina Farsiu

Multiple indications of disease progression found in a cancer patient by loco-regional relapse, distant metastasis and death. Early identification of these indications is necessary to change the treatment strategy. Biomarkers play an…

Applications · Statistics 2021-07-23 Atanu Bhattacharjee , Gajendra K. Vishwakarma , Souvik Banerjee

In today's world, a massive amount of data is available in almost every sector. This data has become an asset as we can use this enormous amount of data to find information. Mainly health care industry contains many data consisting of…

Machine Learning · Computer Science 2022-03-10 Hafsa Binte Kibria , Abdul Matin

Breast cancer is one of the leading causes of death among women across the globe. It is difficult to treat if detected at advanced stages, however, early detection can significantly increase chances of survival and improves lives of…

Image and Video Processing · Electrical Eng. & Systems 2023-08-17 Unaiza Sajid , Rizwan Ahmed Khan , Shahid Munir Shah , Sheeraz Arif

Heart disease continues to pose a critical worldwide health issue, more specifically in areas with insufficient access to healthcare infrastructure and diagnostic systems. Conventional diagnostic approaches often fall short in accurately…

Pathological complete response (pCR) is a key prognostic factor in breast cancer patients undergoing neoadjuvant therapy, strongly associated with long-term survival and treatment personalization. However, accurate pre-treatment pCR…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Alice Natalina Caragliano , Valerio Guarrasi , Michela Gravina , Carlo Sansone , Paolo Soda

Alterations in the geometry and function of the heart define well-established causes of cardiovascular disease. However, current approaches to the diagnosis of cardiovascular diseases often rely on subjective human assessment as well as…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 Carlo Biffi , Ozan Oktay , Giacomo Tarroni , Wenjia Bai , Antonio De Marvao , Georgia Doumou , Martin Rajchl , Reem Bedair , Sanjay Prasad , Stuart Cook , Declan O'Regan , Daniel Rueckert

Accurate and interpretable mortality risk prediction in intensive care units (ICUs) remains a critical challenge due to the irregular temporal structure of electronic health records (EHRs), the complexity of longitudinal disease…

Machine Learning · Computer Science 2026-03-10 Zahra Jafari , Azadeh Zamanifar , Amirfarhad Farhadi

In this paper, we proposed two different approaches, a rule-based approach and a machine-learning based approach, to identify active heart failure cases automatically by analyzing electronic health records (EHR). For the rule-based…

Computation and Language · Computer Science 2016-09-07 Shu Dong , R Kannan Mutharasan , Siddhartha Jonnalagadda

AI-powered stethoscopes offer a promising alternative for screening rheumatic heart disease (RHD), particularly in regions with limited diagnostic infrastructure. Early detection is vital, yet echocardiography, the gold standard tool,…

Cancer diagnosis, prognosis, and therapeutic response predictions are based on morphological information from histology slides and molecular profiles from genomic data. However, most deep learning-based objective outcome prediction and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-04 Richard J. Chen , Ming Y. Lu , Jingwen Wang , Drew F. K. Williamson , Scott J. Rodig , Neal I. Lindeman , Faisal Mahmood

Heart disease is the leading cause of death worldwide. Currently, 33% of cases are misdiagnosed, and approximately half of myocardial infarctions occur in people who are not predicted to be at risk. The use of Artificial Intelligence could…

Machine Learning · Computer Science 2020-07-28 Sahithi Ankireddy

Breast cancer remains a leading cause of mortality worldwide and is typically detected via screening programs where healthy people are invited in regular intervals. Automated risk prediction approaches have the potential to improve this…

Image and Video Processing · Electrical Eng. & Systems 2025-06-25 Zijun Sun , Solveig Thrun , Michael Kampffmeyer

Coronary heart disease (CHD) caused by hardening of artery walls due to cholesterol known as atherosclerosis is responsible for large number of deaths world-wide. The disease progression is slow, asymptomatic and may lead to sudden cardiac…

Machine Learning · Computer Science 2015-02-03 V. Sree Hari Rao , M. Naresh Kumar

Early and accurate diagnosis of pulmonary hypertension (PH) is essential for optimal patient management. Differentiating between pre-capillary and post-capillary PH is critical for guiding treatment decisions. This study develops and…

Image and Video Processing · Electrical Eng. & Systems 2025-04-03 Fubao Zhu , Yang Zhang , Gengmin Liang , Jiaofen Nan , Yanting Li , Chuang Han , Danyang Sun , Zhiguo Wang , Chen Zhao , Wenxuan Zhou , Jian He , Yi Xu , Iokfai Cheang , Xu Zhu , Yanli Zhou , Weihua Zhou

Thrombosis in rotary blood pumps arises from complex flow conditions that remain difficult to translate into reliable and interpretable risk predictions using existing computational models. This limitation reflects an incomplete…

Machine Learning · Computer Science 2025-12-19 Christopher Blum , Michael Neidlin