Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
AI in health and medicine
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes,
indicating a pronounced need for early detection. In this study, we applied artificial …
indicating a pronounced need for early detection. In this study, we applied artificial …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …
healthcare applications, both clinical and remote, but the best performing AI systems are …
[HTML][HTML] Early prediction of sepsis in the ICU using machine learning: a systematic review
Background: Sepsis is among the leading causes of death in intensive care units (ICUs)
worldwide and its recognition, particularly in the early stages of the disease, remains a …
worldwide and its recognition, particularly in the early stages of the disease, remains a …
[HTML][HTML] Artificial intelligence and early detection of pancreatic cancer: 2020 summative review
Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …
ConSIG: consistent discovery of molecular signature from OMIC data
The discovery of proper molecular signature from OMIC data is indispensable for
determining biological state, physiological condition, disease etiology, and therapeutic …
determining biological state, physiological condition, disease etiology, and therapeutic …
[HTML][HTML] Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective Temporal electronic health records (EHRs) contain a wealth of information for
secondary uses, such as clinical events prediction and chronic disease management …
secondary uses, such as clinical events prediction and chronic disease management …
[HTML][HTML] AutoScore: a machine learning–based automatic clinical score generator and its application to mortality prediction using electronic health records
Background: Risk scores can be useful in clinical risk stratification and accurate allocations
of medical resources, helping health providers improve patient care. Point-based scores are …
of medical resources, helping health providers improve patient care. Point-based scores are …