Search Tag: machine learning
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
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
2023 12 Sep
The Clinical Decision Support Systems (CDSS) industry is poised for remarkable growth in the near future. With rapid advancements in artificial intelligence and machine learning, CDSS is set to revolutionize healthcare by providing healthcare professionals with invaluable tools for data-driven decision-making. These systems will seamlessly integrate...Read more
2023 28 Jun
Delayed recognition of haemodynamic and respiratory deterioration in hospitalised patients is linked to increased morbidity and mortality. Measures have been developed to improve the recognition of acute deterioration and reduce the occurrence of major adverse events like all-cause mortality and unplanned ICU admission. One such measure is the implementation...Read more
2023 08 Jun
In an interesting session at HIMSS this week, Bejyamin Deldar, Co-founder of Deep Medical. Medical Doctor and Researcher, Innovator and Clinical Entrepreneur Fellow at NHS England spoke about using artificial intelligence to understand patient compliance behaviours. He highlighted that globally, $9 trillion is spent on healthcare. However, nearly $300...Read more
2023 22 May
Effective regulatory systems are an essential component of health system strengthening and contribute to better public health outcomes, even more so in the age of medical devices that are enabled by machine learning. Key Points Without medical devices, many critical healthcare procedures would not be possible. WHO provides guidance...Read more
2023 22 May
Stephen Gilbert, Professor for Medical Device Regulatory Science at the Else Kröner Fresenius Center for Digital Health at Dresden University of Technology, spoke to HealthManagement about the need for improved and balanced regulation of medical devices and artificial intelligence, and what can be expected in the future. What is your stand...Read more
2023 22 May
The use of harmonised standards in support of the Medical Devices Regulations (MDR & IVDR) is a proven and trusted way to ensure compliance, quality, safety and efficiency of products, production processes, management systems, services and test-methods. They are developed as per the EU request to the European Standardisation Organisations (CEN &...Read more
2023 21 Apr
The Advocate Aurora Research Institute is using KelaHealth’s Surgical Intelligence Platform to combine the capabilities of artificial intelligence (AI) and machine learning (ML) to transform surgical care. The project aims to determine how much variation exists in surgical and patient outcomes, helping researchers to understand the types of...Read more
2023 06 Feb
Many machine learning (ML) models have been developed for use in the ICU, but their effectiveness in new settings is uncertain due to a lack of external validation. A study showed that less than one-third of Food and Drug Administration (FDA) approved ML models have undergone multisite assessment. In addition, only 11% of ICU prediction models have...Read more
2022 18 Nov
A machine learning tool has been created to help predict patients at high risk of developing COVID-19. The technology has been developed by a team of researchers at Imperial College London and the Infection Prevention and Control (IPC) unit at Imperial College Healthcare NHS Trust. The tool has been trained to identify risk factors associated...Read more
2022 13 Sep
Data science has brought forth many exciting advancements in healthcare; however, it is important to recognise what data science is and how we can continue to use it to positively advance healthcare Key Points Data science is an intersection of computer science, mathematics, and domain expertise. Artificial intelligence encompasses...Read more
2022 21 Jul
Flashback Technologies Inc, an innovative digital healthcare company that uses artificial intelligence and machine learning technologies to transform basic physiological data into lifesaving and life changing vital signs, announced today that it has appointed Marcus Barkham as CEO. "Marcus brings over 20 years of senior executive experience in...Read more
2022 08 Jul
Early diagnosis of cancer can lead to better patient care and better outcomes. In particular, the use of intelligent imaging technology along the patient’s journey, from screening to diagnosis to treatment, monitoring and follow-up, is essential. HealthManagement.org spoke to Dr Ben Newton, General Manager, Oncology at GE Healthcare, to discuss his...Read more