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New AI Tool Predicts Risk for Chronic Pain in Cancer Patients

A third of cancer patients face chronic pain - a debilitating condition that can dramatically reduce a person's quality of life, even if their cancer goes into remission.

Although doctors have some tools for addressing chronic pain, figuring out who is most at risk for developing it is no easy feat. But a new study, conducted by researchers at the University of Florida and other institutions, uses artificial intelligence (AI) to predict which breast cancer patients are most at risk for developing chronic pain.

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AI Opens Door to Safe, Effective New Antibiotics to Combat Resistant Bacteria

In a hopeful sign for demand for more safe, effective antibiotics for humans, researchers at The University of Texas at Austin have leveraged artificial intelligence (AI) to develop a new drug that already is showing promise in animal trials.

Publishing their results in Nature Biomedical Engineering, the scientists describe using a large language model - an AI tool like the one that powers ChatGPT - to engineer a version of a bacteria-killing drug that was previously toxic in humans, so that it would be safe to use.

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North Cumbria Integrated Care Chooses Alcidion as Preferred EPR Supplier

The trust, which provides hospital and community health care for approximately half a million people, has made a clinically-led decision to use Alcidion's Miya Precision platform. The modular EPR will enhance digital maturity and will support clinicians in the delivery of high quality, safe care for patients.

Intuitive design, ease of use, and interoperability with specialist systems that NCIC wishes to retain, were key benefits recognised by the trust's EPR evaluation team, which represented all services, at all levels, across the trust.

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New Video Test for Parkinson's Uses AI to Track How the Disease is Progressing

A video-processing technique developed at the University of Florida that uses artificial intelligence will help neurologists better track the progression of Parkinson's disease in patients, ultimately enhancing their care and quality of life.

The system, developed by Diego Guarin, Ph.D., an assistant professor of applied physiology and kinesiology in the UF College of Health and Human Performance, applies machine learning to analyze video recordings of patients performing the finger-tapping test, a standard test for Parkinson's disease that involves quickly tapping the thumb and index finger 10 times.

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NIH Findings Shed Light on Risks and Benefits of Integrating AI into Medical Decision-Making

Researchers at the National Institutes of Health (NIH) found that an artificial intelligence (AI) model solved medical quiz questions - designed to test health professionals’ ability to diagnose patients based on clinical images and a brief text summary - with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making led to the correct answer.

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Are AI-Chatbots Suitable for Hospitals?

Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. This is the conclusion reached by a team from the Technical University of Munich (TUM). For the first time, the team has systematically investigated whether this form of artificial intelligence (AI) would be suitable for everyday clinical practice.

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Chatbot Iris Offers Individual Support

A packed auditorium with over 1000 students. This is not a rare sight in introductory informatics lectures. To meet the needs of each individual student under these conditions, Stephan Krusche, professor of Software Engineering, and his team have been building the Artemis learning platform since 2016. It resembles well-known learning platforms, but offers more possibilities.

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AI-Powered Oracle Clinical Digital Assistant Transforms Interactions Between Practitioners and Patients

Oracle announced general availability of the Oracle Clinical Digital Assistant for ambulatory clinics in the US. The mobile offering combines generative AI, clinical intelligence, multimodal voice and screen driven assistance, and simplified workflows into a single, unified solution that enables providers to give their full attention to the needs of their patients.

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Machine Learning Helps Define New Subtypes of Parkinson's Disease

Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson's disease based on the pace at which the disease progresses. In addition to having the potential to become an important diagnostic and prognostic tool, these subtypes are marked by distinct driver genes. If validated, these markers could also suggest ways the subtypes can be targeted with new and existing drugs.

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Beyond Algorithms: The Role of Human Empathy in AI-Enhanced Therapy

A new study by researchers from the Psychology Department at the Hebrew University have made significant strides in understanding the role of artificial intelligence (AI) in mental health therapy. Their research focuses on the delicate balance between AI-driven interactions and the irreplaceable human touch in therapeutic settings, addressing critical questions about when AI might effectively replace human therapists and when the human connection remains indispensable.

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