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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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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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