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From Text to Structured Information Securely with AI

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Research
15 January 2025
Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected. Researchers at the University Hospital Bonn (UKB) and the University of Bonn have now been able to show that local LLMs can help structure radiological findings in a privacy-safe manner, with all data remaining at the hospital. They compared various LLMs on public reports without data protection and on data-protected reports.
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AI Innovation Unlocks Non-Surgical Way to Detect Brain Cancer Spread

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Research
14 January 2025
Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.

The proof-of-concept study, co-led by McGill University researchers Dr. Matthew Dankner and Dr. Reza Forghani, alongside an international team of clinicians and scientists, demonstrated the AI model can detect the presence of cancer cells in surrounding brain tissue with 85-per-cent accuracy.

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Picking the Right Doctor? AI could Help

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Research
13 January 2025
Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record on accurate diagnoses. Talking to other patients, she found they sometimes based choices on a physician’s personality or even the quality of their office furniture.
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Using AI to Uncover Hospital Patients' Long COVID Care Needs

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Research
10 January 2025
Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may seem universal, the reality is that there are nuances that require individual attention, both in the make-up of the patients being seen and the situations of the hospitals providing their care.
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Predicting the Progression of Autoimmune Disease with AI

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Research
09 January 2025
Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies in the blood. However, in some people, these symptoms may resolve before culminating in the full disease stage.

Knowing who may progress along the disease pathway is critical for early diagnosis and intervention, improved treatment and better disease management,

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New AI Tool Uses Routine Blood Tests to Predict Immunotherapy Response for Many Cancers

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Research
07 January 2025
Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of immunotherapy - using only routine blood tests and clinical data.

The artificial intelligence–based model, dubbed SCORPIO, was developed by a team of researchers from Memorial Sloan Kettering Cancer Center (MSK) and the Tisch Cancer Institute at Mount Sinai.

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New Method Tracks the 'Learning Curve' of AI to Decode Complex Genomic Data

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Research
06 January 2025
Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain vast amounts of annotated samples, but many of these samples are annotated either incorrectly or ambiguously.
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More eHealth News ...

  1. AI System Helps Doctors Identify Patients at Risk for Suicide
  2. AI can Improve Ovarian Cancer Diagnoses
  3. Smartphone App can Help Reduce Opioid Use and Keep Patients in Treatment
  4. AI's New Move: Transforming Skin Cancer Identification
  5. Leveraging AI to Assist Clinicians with Physical Exams
  6. Almost All Leading AI Chatbots Show Signs of Cognitive Decline
  7. New Recommendations to Increase Transparency and Tackle Potential Bias in Medical AI Technologies
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