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Almost All Leading AI Chatbots Show Signs of Cognitive Decline

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas issue of The BMJ.

The results also show that "older" versions of chatbots, like older patients, tend to perform worse on the tests. The authors say these findings "challenge the assumption that artificial intelligence will soon replace human doctors."

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New Recommendations to Increase Transparency and Tackle Potential Bias in Medical AI Technologies

Patients will be better able to benefit from innovations in medical artificial intelligence (AI) if a new set of internationally-agreed recommendations are followed.

A new set of recommendations published in The Lancet Digital Health and NEJM AI aims to help improve the way datasets are used to build Artificial intelligence (AI) health technologies and reduce the risk of potential AI bias.

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Digital Health Unveils Draft Programme for Rewired25

18 - 19 March 2025, Birmingham, UK.
Digital Health has unveiled the draft programme for its Rewired 2025 event which will take place at the NEC in Birmingham in March next year.

With a new government, new policy direction and significant new investment, making more effective use of digital and data to improve productivity, patient safety and high quality care will underpin the government’s 10 year health plan.

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New Study Reveals Why Organisations are Reluctant to Adopt Blockchain

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey.

Blockchain is a secure digital ledger that records and verifies transactions across many computers in a way that's hard to alter.

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Emotional Cognition Analysis Enables Near-Perfect Parkinson's Detection

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson's disease with near-perfect accuracy, simply by analyzing brain responses to emotional situations like watching video clips or images. The findings offer an objective way to diagnose the debilitating movement disorder, instead of relying on clinical expertise and patient self-assessments, potentially enhancing treatment options and overall well-being for those affected by Parkinson's disease.

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Deep Learning Model Accurately Diagnoses COPD

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic Imaging, a journal of the Radiological Society of North America (RSNA).

COPD is a group of progressive lung diseases that impair a person's ability to breathe.

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Shape-Changing Device Helps Visually Impaired People Perform Location Task as Well as Sighted People

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate through haptic perception - the way people understand information about objects through touch. The device, which looks like a torch, bends to indicate where a person needs to move and straightens when the user is facing the correct direction.

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Bayer Acquires HiDoc Technologies and Cara Care® App for Irritable Bowel Syndrome

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara Care® is the first prescribed digital health application for the treatment of irritable bowel syndrome (IBS) and offers a novel, holistic therapeutic approach for patients with IBS.(1)

Patients with irritable bowel syndrome have generally already been through a lot by the time they receive a formal diagnosis, and they face numerous daily challenges and obstacles associated with their symptoms that impair their quality of life.

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AI-Based Chatbot Created for Bioimage Analysis

Scientists from Universidad Carlos III de Madrid (UC3M), together with a research team from Ericsson and the KTH Royal Institute of Technology in Sweden, have developed an artificial intelligence-based software programme that can search for information and make recommendations for biomedical image analysis. This innovation streamlines the work of individuals using large bioimage databases, including life sciences researchers, workflow developers, and biotech and pharmaceutical companies.

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Analyzing Multiple Mammograms Improves Breast Cancer Risk Prediction

A new study from Washington University School of Medicine in St. Louis describes an innovative method of analyzing mammograms that significantly improves the accuracy of predicting the risk of breast cancer development over the following five years. Using up to three years of previous mammograms, the new method identified individuals at high risk of developing breast cancer 2.3 times more accurately than the standard method, which is based on questionnaires assessing clinical risk factors alone, such as age, race and family history of breast cancer.

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