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Academic Institutions Launch Groundbreaking Healthcare AI Challenge

Imaging Technology

The American College of Radiology (ACR), a professional medical society representing radiologists, has also joined the Healthcare AI Challenge Collaborative as a founding member to ensure its 42,000 members have access to the Healthcare AI Challenge.

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New AI Tool Could Help Identify Dementia Risk

Imaging Technology

The project is the second funded and supported by NEURii, a global collaboration between the pharmaceutical company Eisai, Gates Ventures, the University of Edinburgh, the medical research charity LifeArc and the national health data science institute Health Data Research UK. Find out more on the EI website.

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National Cancer Prevention Month: The Role of Imaging in Early Detection

Vesta Teleradiology

Advanced imaging technologies continue to play a crucial role in detecting cancers before they progress, giving patients the best chance for successful treatment. This is especially important for facilities in rural or underserved areas, where access to specialized medical services is more limited.

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Future Horizons: Anticipating Key AI Advancements in the Field of Radiology (Punjab, Amritsar, Barnala, Bathinda, Faridkot, Fatehgarh Sahib, Firozpur, Fazilka, Gurdaspur, Hoshiarpur, Jalandhar, Kapurthala)

Future Teleradiology

Enhanced Image Interpretation with Deep Learning: Discuss the potential of deep learning algorithms in revolutionizing image interpretation. Quantitative Imaging for Precision Medicine: Discuss the application of quantitative imaging in precision medicine.

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AI and Machine Learning in Healthcare

Aidoc

This proactive approach enables early intervention, ultimately reducing the burden on healthcare systems and improving public health outcomes. Enhanced Disease Awareness One of the most significant advances of machine learning in healthcare is its ability to enhance health system disease awareness.

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Meet the Minnies 2024 semifinal candidates

AuntMinnie

The following is the list of candidates for the 2024 edition of the Minnies, AuntMinnie.com 's campaign to recognize the best and brightest in medical imaging. This year, hundreds of candidates have been selected as semifinalists for 14 categories, ranging from Most Influential Radiology Researcher to Best New Radiology Software.