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Testing AI with AI: Ensuring Effective AI Implementation in Clinical Practice

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and nurses to rapidly diagnose heart issues in emergency departments.

"AI is becoming more common in healthcare, but it doesn’t always fit in smoothly with the vital work of our doctors and nurses," says Flinders University's Dr Maria Alejandra Pinero de Plaza, who led the research.

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AI Accelerates the Search for New Tuberculosis Drug Targets

Tuberculosis is a serious global health threat that infected more than 10 million people in 2022. Spread through the air and into the lungs, the pathogen that causes "TB" can lead to chronic cough, chest pains, fatigue, fever and weight loss. While infections are more extensive in other parts of the world, a serious tuberculosis outbreak currently unfolding in Kansas has led to two deaths and has become one of the largest on record in the United States. While tuberculosis is typically treated with antibiotics, the rise of drug-resistant strains has led to an urgent need for new drug candidates.

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Students Around the World Find ChatGPT Useful, but also Express Concerns

An international survey study involving more than 23,000 higher education students reveals trends in how they use and experience ChatGPT, highlighting both positive perceptions and awareness of the AI chatbot’s limitations. Dejan Ravšelj of the University of Ljubljana, Slovenia, and colleagues present these findings in the open-access journal PLOS One.

Prior research suggests that ChatGPT can enhance learning, despite concerns about its role in academic integrity, potential impacts on critical thinking, and occasionally inaccurate responses.

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How AI Bias Shapes Everything from Hiring to Healthcare

Generative AI tools like ChatGPT, DeepSeek, Google's Gemini and Microsoft’s Copilot are transforming industries at a rapid pace. However, as these large language models become less expensive and more widely used for critical decision-making, their built-in biases can distort outcomes and erode public trust.

Naveen Kumar, an associate professor at the University of Oklahoma's Price College of Business, has co-authored a study emphasizing the urgent need to address bias by developing and deploying ethical, explainable AI.

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The Future of Healthcare is Digital

8 - 10 April 2025, Berlin, Germany.
The Berlin Exhibition Centre will be all about digital health from 8 to 10 April 2025. DMEA, Europe's leading event for digital healthcare, organised by the Bundesverband Gesundheits-IT e. V. (German Association of Health IT Vendors), will bring together experts from medicine, business, science and politics to jointly shape the future of healthcare.

The entire programme overview can be found at the DMEA website, which is updated on an ongoing basis.

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AI-Supported Breast Cancer Screening - New Results Suggest Even Higher Accuracy

The new findings are published in The Lancet Digital Health. The initial results of the Mammography Screening with Artificial Intelligence (MASAI) study* - a randomised trial to evaluate whether AI can improve mammography screening - were published in August 2023. The study started in spring 2021, and the final report will be written next year. A second report has now been published, and Kristina Lång, who is responsible for the study, is pleased to be able to show strong figures.

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AI Improves Personalized Cancer Treatment

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few parameters are often not enough to understand the complexity of diseases such as cancer. A team of researchers from the Faculty of Medicine at the University of Duisburg-Essen (UDE), LMU Munich, and the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin has developed a new approach to this problem using artificial intelligence (AI).

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AI Model Identifies Potential Risk Genes for Parkinson's Disease

Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can potentially be repurposed for PD treatment.

The npj Parkinson's Disease report uses an approach called “systems biology,” which uses AI to integrate and analyze multiple different forms of information from genetic, proteomic, pharmaceutical and patient datasets to identify patterns that may not be obvious from analyzing one form of data on its own.

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DMEA nova Award: Looking for the Best Idea for Digital Healthcare

8 - 10 April 2025, Berlin, Germany.
Innovative startups from the digital health sector can now apply for the DMEA nova Award 2025. We are looking for the best idea or solution that will significantly advance the healthcare sector.

With the DMEA nova Award, the DMEA, Europe's leading event for digital health, is focusing on outstanding solutions for digital healthcare.

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AI Tool that may Assist Underserved Hospitals

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for patients.

This includes using AI to assist in collecting and deciphering diagnostic data among medical professionals, particularly in underserved communities.

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