Search Tag: machine learning
2024 27 Jun
Diagnostic imaging is crucial in modern medicine for quick and accurate diagnosis and monitoring of various conditions. However, its overuse leads to unnecessary expenses, increased radiation exposure, and potential harm. The global use of imaging like CT and MRI has risen significantly, with a notable proportion being unnecessary. The FDA estimates...Read more
2024 15 Jun
Sepsis is a life-threatening complication causing nearly 1.7 million hospitalisations and 350,000 deaths annually in the U.S. Rapid and accurate diagnosis is critical, as the risk of mortality increases by up to 8% for each hour that effective treatment is delayed. Currently, the diagnostic standard relies on culture growth, which typically takes...Read more
2024 14 Jun
Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in moving clinical deterioration models from byte to bedside. A Mount Sinai study found that hospitalised patients were 43% more likely to have their care escalated and significantly less likely to die if their care team received...Read more
2024 13 Jun
Machine learning (ML) is a branch of artificial intelligence in which computers identify patterns in large data sets to make predictions or classifications. The rise of digital health data and electronic health records (EHRs) provides opportunities to use ML to optimise healthcare through improved diagnosis, prognosis, treatment pathways, medication...Read more
2024 23 May
The dynamic landscape of cryptocurrencies, marked by rapid growth and high volatility since Bitcoin's inception in 2009, has attracted significant attention from investors and traders. The emergence of new digital currencies challenges traditional financial models, necessitating advanced analytical tools to navigate the market's unpredictability....Read more
2024 23 May
The dynamic landscape of cryptocurrencies, marked by rapid growth and high volatility since Bitcoin's inception in 2009, has attracted significant attention from investors and traders. The emergence of new digital currencies challenges traditional financial models, necessitating advanced analytical tools to navigate the market's unpredictability....Read more
2024 22 May
Common Variable Immunodeficiency (CVID) is a complex and rare inborn error of immunity characterised by antibody deficiency and impaired B cell responses. Due to its heterogeneous presentation, CVID often eludes timely diagnosis, resulting in delayed treatment and prolonged patient suffering. However, a groundbreaking development from the University...Read more
2024 22 May
Common Variable Immunodeficiency (CVID) is a complex and rare inborn error of immunity characterised by antibody deficiency and impaired B cell responses. Due to its heterogeneous presentation, CVID often eludes timely diagnosis, resulting in delayed treatment and prolonged patient suffering. However, a groundbreaking development from the University...Read more
2024 21 May
Machine learning has significantly advanced various industries, particularly in healthcare, where deep learning is revolutionising drug discovery, early diagnosis, medical imaging, and personalised treatments. However, these advancements come with challenges, notably issues of interpretability, data availability, and inherent biases. Bias in machine...Read more
2024 21 May
Machine learning has significantly advanced various industries, particularly in healthcare, where deep learning is revolutionising drug discovery, early diagnosis, medical imaging, and personalised treatments. However, these advancements come with challenges, notably issues of interpretability, data availability, and inherent biases. Bias in machine...Read more
2024 16 May
Disease subtyping, crucial for personalised medicine, involves categorising diseases based on genetic, molecular, or clinical attributes. This enhances treatment efficacy and patient outcomes. The differentiation is vital for tailored treatments and understanding disease mechanisms across medical disciplines. While subtyping aids in effective treatment...Read more
2024 16 May
Disease subtyping, crucial for personalised medicine, involves categorising diseases based on genetic, molecular, or clinical attributes. This enhances treatment efficacy and patient outcomes. The differentiation is vital for tailored treatments and understanding disease mechanisms across medical disciplines. While subtyping aids in effective treatment...Read more
2024 24 Apr
Cardiovascular disease is significantly underdiagnosed in women compared to men. The widely used Framingham Risk Score estimates the likelihood of developing cardiovascular disease over a decade, factors in age, sex, cholesterol levels, and blood pressure. Researchers from the U.S. and the Netherlands used a comprehensive dataset to develop...Read more
2024 24 Apr
Moderna and OpenAI partner to accelerate the development of life-saving treatments. Moderna partners with OpenAI to deploy ChatGPT Enterprise to thousands of employees across the company. Now every function is empowered with AI, creating novel use cases and GPTs that accelerate and expand the impact of every team. Moderna has been...Read more
2024 05 Apr
A team of Google scientists has unveiled a groundbreaking machine-learning tool named Health Acoustic Representations (HeAR) designed to detect and monitor various health conditions by analysing sounds like coughing and breathing. This innovative artificial intelligence (AI) system, trained on an extensive dataset comprising millions of human audio...Read more
2024 05 Apr
A team of Google scientists has unveiled a groundbreaking machine-learning tool named Health Acoustic Representations (HeAR) designed to detect and monitor various health conditions by analysing sounds like coughing and breathing. This innovative artificial intelligence (AI) system, trained on an extensive dataset comprising millions of human audio...Read more
2024 05 Apr
A team of Google scientists has unveiled a groundbreaking machine-learning tool named Health Acoustic Representations (HeAR) designed to detect and monitor various health conditions by analysing sounds like coughing and breathing. This innovative artificial intelligence (AI) system, trained on an extensive dataset comprising millions of human audio...Read more
2024 19 Mar
New findings were presented at ISICEM 2024 evaluating a machine learning model to predict individualised treatment effects using two temporally and geographically distinct clincial trials of lower vs higher oxygen targets in critically ill patients receiving mechanical ventilation. Mechanical ventilation involves titrating the fraction...Read more
2024 18 Mar
Recent advancements in artificial intelligence (AI), particularly machine learning (ML), have been successfully integrated into healthcare applications, showing promise in risk prediction, disease diagnosis, and sub-phenotyping. The widespread adoption of electronic health record (EHR) systems has provided a wealth of real-world data (RWD) for...Read more
2024 18 Mar
Recent advancements in artificial intelligence (AI), particularly machine learning (ML), have been successfully integrated into healthcare applications, showing promise in risk prediction, disease diagnosis, and sub-phenotyping. The widespread adoption of electronic health record (EHR) systems has provided a wealth of real-world data (RWD) for...Read more
2024 18 Mar
Recent advancements in artificial intelligence (AI), particularly machine learning (ML), have been successfully integrated into healthcare applications, showing promise in risk prediction, disease diagnosis, and sub-phenotyping. The widespread adoption of electronic health record (EHR) systems has provided a wealth of real-world data (RWD) for...Read more
2024 18 Mar
Social needs and social determinants of health (SDOH) are significant factors influencing clinical outcomes, yet they are often under-documented in healthcare systems' electronic health records (EHRs). Currently, the majority of data regarding social needs and SDOH challenges within EHRs are captured as unstructured medical notes rather than structured...Read more
2024 18 Mar
Social needs and social determinants of health (SDOH) are significant factors influencing clinical outcomes, yet they are often under-documented in healthcare systems' electronic health records (EHRs). Currently, the majority of data regarding social needs and SDOH challenges within EHRs are captured as unstructured medical notes rather than structured...Read more
2024 18 Mar
Social needs and social determinants of health (SDOH) are significant factors influencing clinical outcomes, yet they are often under-documented in healthcare systems' electronic health records (EHRs). Currently, the majority of data regarding social needs and SDOH challenges within EHRs are captured as unstructured medical notes rather than structured...Read more
2024 29 Feb
MedTech sector is in the midst of a digital revolution, with AI leading the way. In the tightly regulated realm of MedTech, there's an increasing demand for a well-established regulatory framework that emphasises the equilibrium between innovation and patient safety. Let’s explore the current applications of AI in the MedTech sector, its key...Read more
2024 07 Feb
Scientists at the University of Virginia have pioneered a novel approach to machine learning to identify drugs that could mitigate harmful scarring following a heart attack or other injuries. The team's findings have been published in Proceedings of the National Academy of Sciences (PNAS). This innovative machine-learning tool has already...Read more
2024 06 Feb
Hospitals utilise unscheduled return visit (URV) rates in emergency departments (EDs) to determine care quality. Higher rates lead to increased costs and longer wait times for patients who need immediate care. Frequent ED visits also contribute to overcrowding, causing treatment delays and higher mortality rates. Developing predictive models...Read more
2023 13 Oct
Ongoing research and challenges regarding the use of Artificial Intelligence and Machine Learning to leverage data and identify complex interactions to address antimicrobial resistance in the ICU. The possibilities of artificial intelligence (AI), and more specifically, machine learning (ML), are being researched across almost all domains...Read more
2023 12 Oct
As we step into the futuristic landscape of 2023, the healthcare sector is buzzing with the melody of Artificial Intelligence (AI). This melody harmonizes with the rhythm of Machine Learning (ML) and the lyrics of Natural Language Processing (NLP), orchestrating a healthcare revolution that's nothing short of a masterpiece. Here's a look at how these...Read more