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HomeHealth Informatics

Health Informatics

  • Looking good isn't everything: Researchers assess AI method for processing medical images
    Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers of disease that may be missed by the human eye. However, is applying AI always the best option?... Read more
  • AI tool mimics pathologists to improve breast cancer tissue analysis accuracy
    A research team led by two University of Maine Ph.D. students developed an artificial intelligence (AI) system that could make it easier and faster for doctors to identify signs of breast cancer in tissue samples, possibly preventing delays and saving lives.... Read more
  • AI can improve mental health questionnaires by detecting overlaps and redundancies
    Large language models can help improve questionnaires used to diagnose mental illness by optimizing symptom generalizability and reducing redundancy. They can even contribute to new conceptualizations of mental disorders. That is the result of an international study led by Professor Dr. Joseph Kambeitz and Professor Dr. Kai Vogeley from the... Read more
  • Predicting disease outbreaks using social media
    Vaccination rates are falling in many communities due to widespread misinformation and previously eliminated or controlled illnesses like measles are surging across the United States and Canada.... Read more
  • A unified model of memory and perception: How Hebbian learning explains our recall of past events
    A collaboration between SISSA's Physics and Neuroscience groups has taken a step forward in understanding how memories are stored and retrieved in the brain. The study, recently published in Neuron, shows that distinct perceptual biases—long thought to arise from separate brain systems—can, in fact, be explained by a single, biologically... Read more
  • New study reveals high rates of fabricated and inaccurate citations in LLM-generated mental health research
    A new study published in the journal JMIR Mental Health by JMIR Publications highlights a critical risk in the growing use of Large Language Models (LLMs) like GPT-4o by researchers: the frequent fabrication and inaccuracy of bibliographic citations. The findings underscore an urgent need for rigorous human verification and institutional... Read more
  • How are patients using health care chatbots? Study finds some 'eye-openers'
    A health care chatbot can be a patient's first point of contact for some sensitive conversations from mental health to billing, a new CU Anschutz study has found.... Read more
  • New tool predicts graft failure after kidney transplant
    Researchers at The Johns Hopkins Medicine say they have developed a new electronic medical records-based tool that should help doctors predict which patients are most at risk of losing a transplanted kidney graft.... Read more
  • AI tool creates digital twins of patients to predict their future health
    A new artificial intelligence tool that can create virtual representations of patients and predict individual health trajectories has been hailed a potential gamechanger for the clinical trial sector.... Read more
  • Unregulated and unsafe: Expert warns of risks in substance use reduction apps
    In a commentary published by the Journal of the American Medical Association, researchers at Rutgers Health, Harvard University and the University of Pittsburgh discuss the impact of unregulated mobile health and generative artificial intelligence (AI) applications that claim to assist in substance use reduction.... Read more
  • Why aging shouldn't be classified as a disease
    In 2018, the World Health Organization (WHO) released the 11th edition of the International Classification of Diseases—a global, standard-setting guideline for how institutions should understand and organize health information. In it was a new diagnostic category for symptoms and signs of disease: "old age."... Read more
  • Supercomputer simulation is changing how we study the brain
    Harnessing the muscle of one of the world's fastest supercomputers, researchers have built one of the largest and most detailed biophysically realistic brain simulations of an animal ever.... Read more
  • At some doctors' offices, AI is listening in the exam room
    Bracken Babula starts patient visits these days by closing the exam room door and asking if they mind him recording their conversation. He hits a button on his mobile phone, checks that it is recording, and sits back in his seat to listen.... Read more
  • Software optimizes brain simulations, enabling them to complete complex cognitive tasks
    A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging cognitive tasks. The program was developed by a research team at the Cluster of Excellence "Machine Learning: New Perspectives for Science" at the University of Tübingen. The software thus forms... Read more
  • Computational deep dive reveals hidden cancer drug targets and repurposing opportunities
    One person's side effect could be another person's treatment if we expand our perspective on small molecule drug targets, according to a new study published November 5, 2025, in npj Precision Oncology.... Read more

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