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Diagnoses and Treatment Recommendations Given by AI were More Accurate than those of Physicians

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Research
17 April 2025
A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations made by artificial intelligence (AI) and physicians at Cedars-Sinai Connect, a virtual urgent care clinic in Los Angeles, operated in collaboration with Israeli startup K Health. The paper was published in Annals of Internal Medicine and presented at the annual conference of the American College of Physicians (ACP).
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New System for the Early Detection of Autism

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Research
15 April 2025
A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The system has achieved an accuracy of over 85%, thus surpassing traditional methods of detecting autism in early childhood, which are usually based on psychological tests and interviews carried out manually.
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AI Tool can Track Effectiveness of Multiple Sclerosis Treatments

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Research
14 April 2025
A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers.

AI uses mathematical models to train computers using massive amounts of data to learn and solve problems in ways that can seem human, including to perform complex tasks like image recognition.

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Is AI in Medicine Playing Fair?

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Research
10 April 2025
As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may recommend different treatments for the same medical condition based solely on a patient's socioeconomic and demographic background.
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Multi-Resistance in Bacteria Predicted by AI Model

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Research
07 April 2025
An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs in wastewater treatment plants and inside the human body.
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AI-Driven Smart Devices to Transform Healthcare

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Research
03 April 2025
AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests.

They are already saving lives. Wearable devices can detect cardiac issues early, triggering emergency responses and preventing complications.

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A Novel AI-Based Method Reveals How Cells Respond to Drug Treatments

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Research
02 April 2025
Researchers from Tel Aviv University have developed an innovative method that can help to understand better how cells behave in changing biological environments, such as those found within a cancerous tumor.

The new system, called scNET, combines information on gene expression at the single-cell level with information on gene interactions, enabling the identification of important biological patterns such as responses to drug treatments.

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More eHealth News ...

  1. First Therapy Chatbot Trial Shows AI can Provide 'Gold-Standard' Care
  2. DeepSeek: The "Watson" to Doctors - from Assistance to Collaboration
  3. Who's to Blame When AI Makes a Medical Error?
  4. Research Shows AI Technology Improves Parkinson's Diagnoses
  5. AI Tool Helps Predict Who will Benefit from Focal Therapy for Prostate Cancer
  6. New AI Tool Accelerates Disease Treatments
  7. New Study Shows Promise for Gamified mHealth App in Managing MS-Related Fatigue
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