Researchers Help AI Express Uncertainty to Improve Health Monitoring Tech

A team of engineering and health researchers has developed a tool that improves the ability of electronic devices to detect when a human patient is coughing, which has applications in health monitoring. The new tool relies on an advanced artificial intelligence (AI) algorithm that helps the AI better identify uncertainty when faced with unexpected data in real-world situations.

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Philips Joins Forces with AWS to Bring Philips HealthSuite Imaging PACS to the Cloud and Advance AI-Enabled Tools in Support of Clinicians

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology today announced the availability of Philips HealthSuite Imaging on Amazon Web Services (AWS). Additionally, Philips and AWS will build on their relationship, advancing AI in healthcare by applying Foundation Models using Amazon Bedrock to accelerate the development of cloud-based generative AI applications that will provide clinical decision support, help enable more accurate diagnoses, and automate administrative tasks.

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How AI and a Mobile Phone App could Help you Quit Smoking

A stop smoking mobile app that senses where and when you might be triggered to light up could help people quit - according to University of East Anglia research.

Quit Sense is the world's first Artificial Intelligence (AI) stop smoking app which detects when people are entering a location they used to smoke in. It then provides support to help manage people’s specific smoking triggers in that location.

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Creating an Artificial Pathologist

A team from the Max Planck Institute for the Science of Light (MPL) in Erlangen has created a new, fast and precise method for clinicians to analyse cells in tissue samples from cancer patients without the need for a trained pathologist. They use artificial intelligence to evaluate the data their method produces.

During cancer surgery, fast and accurate information about the operated tissue is required to guide the surgeon's next steps.

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David Hancock Becomes an Associate of Highland Marketing

David Hancock, a long-standing expert on the health tech industry with a passion for interoperability, has become an associate of Highland Marketing.

In his new role, David will support clients of the specialist digital health agency that need advice on market entry or positioning, so they can communicate effectively with IT leaders at every level.

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Why Hospitals and ICBs are Seeking New Intel to Find Hidden High-Risk Patients on Waiting Lists

Opinion Article by Dr Mark Ratnarajah, NHS Paediatrician, UK Managing Director, C2-Ai.
Clinical teams continue to work relentlessly to get through the elective backlog. I see it every day with frontline colleagues, and with clinical leads I speak to at organisational and regional levels. Their aim is to help as many patients as possible in the face of a highly complex and enduring peri-pandemic challenge.

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ChatGPT has Potential to Help Cirrhosis, Liver Cancer Patients

A new study by Cedars-Sinai investigators describes how ChatGPT, an artificial intelligence (AI) chatbot, may help improve health outcomes for patients with cirrhosis and liver cancer by providing easy-to-understand information about basic knowledge, lifestyle and treatments for these conditions.

The findings, published in the peer-reviewed journal Clinical and Molecular Hepatology, highlights the AI system’s potential to play a role in clinical practice.

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Is AI better at Assessing Heart Health?

Who can assess and diagnose cardiac function best after reading an echocardiogram: artificial intelligence (AI) or a sonographer?

According to Cedars-Sinai investigators and their research published today in the peer-reviewed journal Nature, AI proved superior in assessing and diagnosing cardiac function when compared with echocardiogram assessments made by sonographers.

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Optimizing Sepsis Treatment Timing with a Machine Learning Model

A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the patient bedside, researchers say.

In a paper published today in Nature Machine Intelligence, scientists from The Ohio State University describe the new model, which uses artificial intelligence to take on the complex question of when to administer antibiotics to patients with a suspected case of sepsis.

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Prototype Taps into the Sensing Capabilities of any smartphone to Screen for Prediabetes

According to the U.S. Centers for Disease Control, one out of every three adults in the United States has prediabetes, a condition marked by elevated blood sugar levels that could lead to the development of Type 2 diabetes. The good news is that, if detected early, prediabetes can be reversed through lifestyle changes such as improved diet and exercise. The bad news?

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