Search Tag: machine learning
2024 30 Jul
On November 30, 2022, OpenAI released ChatGPT, the first chatbot and virtual assistant powered by large language models (LLMs). Within five days, ChatGPT attracted over 1 million users and reached 200 million monthly active users worldwide within fifteen months. This rapid surge in interest transformed artificial intelligence (AI) from a niche...Read more
2024 24 Jul
Data is pivotal in shaping patient care and driving industry innovation in today's healthcare landscape. Insights from healthcare data can provide a comprehensive view of a patient's journey, optimise resource allocation, and improve strategic planning for healthcare systems and providers. However, transforming raw data into actionable insights...Read more
2024 24 Jul
Data is pivotal in shaping patient care and driving industry innovation in today's healthcare landscape. Insights from healthcare data can provide a comprehensive view of a patient's journey, optimise resource allocation, and improve strategic planning for healthcare systems and providers. However, transforming raw data into actionable insights...Read more
2024 24 Jul
Integrating data-driven approaches in healthcare promises to transform patient care, enhance operational efficiency, and enable personalised treatment. However, the journey towards a fully digitalised healthcare system is fraught with challenges, including siloed information, cybersecurity risks, and integrating new technologies into existing systems....Read more
2024 24 Jul
Integrating data-driven approaches in healthcare promises to transform patient care, enhance operational efficiency, and enable personalised treatment. However, the journey towards a fully digitalised healthcare system is fraught with challenges, including siloed information, cybersecurity risks, and integrating new technologies into existing systems....Read more
2024 23 Jul
Machine learning algorithms are transforming healthcare by enhancing the prediction of clinical deterioration. Despite their potential, real-world efficacy data remains limited. A recent study hypothesised that real-time machine learning-generated alerts, sent directly to front-line providers, could significantly reduce patient escalations. A...Read more
2024 23 Jul
Machine learning algorithms are transforming healthcare by enhancing the prediction of clinical deterioration. Despite their potential, real-world efficacy data remains limited. A recent study hypothesised that real-time machine learning-generated alerts, sent directly to front-line providers, could significantly reduce patient escalations. A...Read more
2024 23 Jul
Machine learning algorithms are transforming healthcare by enhancing the prediction of clinical deterioration. Despite their potential, real-world efficacy data remains limited. A recent study hypothesised that real-time machine learning-generated alerts, sent directly to front-line providers, could significantly reduce patient escalations. A...Read more
2024 11 Jul
The use of race in clinical algorithms has increasingly come under scrutiny as healthcare organisations pursue health equity initiatives and challenge race-based medicine. The long-standing recognition that race is a social construct rather than a biological one has gained renewed focus, driving the move towards race-conscious medicine. This shift...Read more
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