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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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ChatGPT Helpful for Breast Cancer Screening Advice with Certain Caveats

As more consumers turn to the newly available ChatGPT for health advice, researchers are eager to see whether the information provided by the artificial intelligence chatbot is reliable and accurate. A new study conducted by researchers at the University of Maryland School of Medicine (UMSOM) indicates that the answers generated provide correct information the vast majority of the time; sometimes, though, the information is inaccurate or even fictitious.

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Digital Healthcare System: Big Challenges, New Laws and Innovative Solutions

25 - 27 April 2023, Berlin, Germany.
More fascinating than ever: DMEA in Berlin, Europe's leading trade fair for connecting digital health, is more than a showcase for improved, digital healthcare. It is also the leading discussion forum for digitalisation in medicine.

This year will feature numerous topics: in addition to the Hospital Future Act (KHZG), still a much talked-about subject in this sector, the Federal Ministry of Health has formulated two new digital laws.

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AI Predicts Enzyme Function Better than Leading Tools

A new artificial intelligence (AI) tool can predict the functions of enzymes based on their amino acid sequences, even when the enzymes are unstudied or poorly understood. The researchers said the AI tool, dubbed CLEAN, outperforms the leading state-of-the-art tools in accuracy, reliability and sensitivity. Better understanding of enzymes and their functions would be a boon for research in genomics, chemistry, industrial materials, medicine, pharmaceuticals and more.

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Machine Learning Models Rank Predictive Risks for Alzheimer's Disease

Once adults reach age 65, the threshold age for the onset of Alzheimer's disease, the extent of their genetic risk may outweigh age as a predictor of whether they will develop the fatal brain disorder, a new study suggests.

The study, published recently in the journal Scientific Reports, is the first to construct machine learning models with genetic risk scores, non-genetic information and electronic health record data from nearly half a million individuals to rank risk factors in order of how strong their association is with eventual development of Alzheimer's disease.

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Philips Virtual Care Management Offers a Comprehensive Approach to Telehealth for Patients, Providers and Payers

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced the debut of Philips Virtual Care Management, a comprehensive portfolio of flexible solutions and services to help health systems, providers, payers and employer groups more meaningfully motivate and deeply connect with patients from virtually anywhere.

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Machine Learning Combines with Multispectral Infrared Imaging to Guide Cancer Surgery

Surgical tumor removal remains one of the most common procedures during cancer treatment, with about 45 percent of cancer patients undergoing surgical tumor removal at some point. Thanks to recent progress in imaging and biochemical technologies, surgeons are now better able to tell tumors apart from healthy tissue. Specifically, this is enabled by a technique called "fluorescence-guided surgery" (FGS).

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JNM Explores Potential Applications for ChatGPT in Nuclear Medicine and Molecular Imaging

A new article in The Journal of Nuclear Medicine explores the potential for using ChatGPT, an artificial intelligence chatbot, in the field of nuclear medicine and molecular imaging. In the article, Irène Buvat, PhD, and Wolfgang Weber, MD, PhD, report on discussions they held with ChatGPT regarding several nuclear medicine and molecular imaging topics and provide their commentary on the pros and cons of using the chatbot.

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Paper Written Using ChatGPT Demonstrates Opportunities and Challenges of AI in Academia

ChatGPT has the potential to create increasing and exciting opportunities - but also poses significant challenges - for the academic community, according to an innovative study written in large part using the software.

Launched in November 2022, ChatGPT is the latest chatbot and artificial intelligence (AI) platform touted as having the potential to revolutionise research and education.

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