Florida International University: AI voice analysis could diagnose a concussion within seconds of a player going down . “Comparisons between individuals’ two sets of data showed differences on measures such as amplitude, frequency (pitch) and vibration for those who had documented brain trauma. Imperceptible to the human ear, the variations were captured by artificial intelligence.”
https://rbfirehose.com/2026/02/06/florida-international-university-ai-voice-analysis-could-diagnose-a-concussion-within-seconds-of-a-player-going-down/
Florida International University: AI voice analysis could diagnose a concussion within seconds of a player going down . “Comparisons between individuals’ two sets of data showed differences o…
Bindu Reddy (@bindureddy)
AI가 의학 진단에서 뛰어나다는 의견 트윗. 혈액 검사, 유전 정보, 증상 등 모든 데이터를 입력하면 AI가 놀라운 수준으로 진단을 수행한다고 주장하며, 과중한 업무와 부족한 인력 등 문제로 인해 인간 의사에 의존하는 현 시스템의 한계를 지적함. (원문은 중간에서 잘려 있음).
TBH, AI is an extremely good doctor Give it all your data including your blood tests, genetic information and symptoms and it does an amazing job of the diagnosis Thanks to a rigged healthcare system, human doctors are scarce, overworked and make mistakes Always consult an
Hội thảo quốc tế về ứng dụng trí tuệ nhân tạo trong chẩn đoán ung thư vú và tuyến giáp sắp diễn ra tại BVĐK Hồng Ngọc Phúc Trường Minh, nhằm làm rõ vai trò của AI trong việc hỗ trợ bác sĩ phát hiện sớm bệnh. #TríTuệNhânTạo #AI #UngThưVú #UngThưTuyếnGiáp #ChẩnĐoánBệnh #SứcKhỏe #Health #ArtificialIntelligence #BreastCancer #ThyroidCancer #MedicalDiagnosis
https://vtcnews.vn/hoi-thao-quoc-te-ung-dung-ai-chan-doan-ung-thu-vu-tuyen-giap-ar997154.html
PsyPost: Artificial intelligence exhibits human-like cognitive errors in medical reasoning. “A new study suggests that advanced artificial intelligence models, increasingly used in medicine, can exhibit human-like errors in reasoning when making clinical recommendations. The research found these AI models were susceptible to cognitive biases, and in many cases, the magnitude of these biases was […]
VentureBeat: Just add humans: Oxford medical study underscores the missing link in chatbot testing. “A paper by researchers at the University of Oxford found that while LLMs could correctly identify relevant conditions 94.9% of the time when directly presented with test scenarios, human participants using LLMs to diagnose the same scenarios identified the correct conditions less than 34.5% of […]
University of Waterloo: AI’s medical diagnostic skills still need a check-up. “A team led by researchers at the University of Waterloo found in a simulated study that ChatGPT-4o, the well-known large language model (LLM) created by OpenAI, answered open-ended diagnostic questions incorrectly nearly two-thirds of the time.”
Cornell University: AI system can analyze serial medical images. “A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, according to a study led by investigators at Weill Cornell Medicine, Cornell’s Ithaca campus and Cornell Tech. The system’s sensitivity and flexibility could make it useful across a wide range of medical and […]
https://rbfirehose.com/2025/03/03/cornell-university-ai-system-can-analyze-serial-medical-images/
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