Chatbots Tell People What They Want to Hear

Chatbots share limited information, reinforce ideologies, and, as a result, can lead to more polarized thinking when it comes to controversial issues, according to new Johns Hopkins University-led research.

The study challenges perceptions that chatbots are impartial and provides insight into how using conversational search systems could widen the public divide on hot-button issues and leave people vulnerable to manipulation.

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Somerset NHS Foundation Trust Works with Oleeo to Streamline Recruitment

Somerset NHS Foundation Trust is working with Oleeo to help to support its recruitment processes and deliver a better experience for recruitment managers and candidates.

The trust, which employs 14,000 people across two acute hospitals, 13 community hospitals and a range of community, primary care and mental health services, is planning to go-live with the new recruitment, applicant management, and reporting software in May.

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Virtual Reality Environment for Teens may Offer an Accessible, Affordable Way to Reduce Stress

Social media. The climate crisis. Political polarization. The tumult of a pandemic and online learning. Teens today are dealing with unprecedented stressors, and over the past decade their mental health has been in sustained decline. Levels of anxiety and depression rose after the onset of the COVID-19 pandemic. Compounding the problem is a shortage of mental health providers - for every 100,000 children in the U.S., there are only 14 child and adolescent psychiatrists.

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AXREM and Highland Marketing Partner to Support Diagnostic Health Tech Industry

AXREM represents member companies that collectively provide UK hospitals with most of their diagnostic medical imaging technology, and radiotherapy equipment.

The association has seen substantial growth in recent years, with membership also including suppliers of health IT, AI and care equipment such as patient monitors. AXREM helps to facilitate cross industry dialogue on key issues affecting the sector.

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AI Predicts Tumor-Killing Cells with High Accuracy

Using artificial intelligence, Ludwig Cancer Research scientists have developed a powerful predictive model for identifying the most potent cancer killing immune cells for use in cancer immunotherapies.

Combined with additional algorithms, the predictive model, described in the current issue of the journal Nature Biotechnology,

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Researchers Use Foundation Models to Discover New Cancer Imaging Biomarkers

Researchers at Mass General Brigham have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.

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Virtual Reality Shows Promise in Fighting Depression

A new study published in JMIR Mental Health sheds light on the promising role of virtual reality (VR) in treating major depressive disorder (MDD). Titled "Examining the Efficacy of Extended Reality–Enhanced Behavioral Activation for Adults With Major Depressive Disorder: Randomized Controlled Trial," the research, led by Dr Margot Paul and team from Stanford University, unveiled the effectiveness of extended reality (XR)–enhanced behavioral activation (XR-BA) in easing symptoms of depression.

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Radboud University Medical Center and Philips Sign 10-Year Patient Monitoring Partnership and Agreement to Keep Software State-of-the-Art

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Radboud University Medical Center have signed a hospital-wide, long-term strategic partnership that delivers the latest patient monitoring applications. All Radboudumc departments will have access to Philips' patient monitoring portfolio. In addition, the two parties have signed a service agreement, to continuously deliver clinical and technical services to maintain the monitors and underlying IT platform.

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With Huge Patient Dataset, AI Accurately Predicts Treatment Outcomes

Scientists have designed a new artificial intelligence (AI) model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart disease.

The model was front-loaded with de-identified data on millions of patients gleaned from health care claims information submitted by employers, health plans and hospitals - a foundation model strategy similar to that of generative AI tools like ChatGPT.

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GPT-4, Google Gemini Fall Short in Breast Imaging Classification

Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports classification that could have a negative effect on patient management, according to a new international study published today in the journal Radiology, a journal of the Radiological Society of North America (RSNA). The study findings underscore the need to regulate these LLMs in scenarios that require high-level medical reasoning, researchers said.

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