AI Reads Clinical Notes to Predict Recovery After Cardiac Arrest
A natural language processing model trained on clinical notes predicts neurologic outcome in comatose cardiac arrest survivors while exposing hidden ...
A natural language processing model trained on clinical notes predicts neurologic outcome in comatose cardiac arrest survivors while exposing hidden ...
Researchers trained a natural language processing model to automatically derive neurological outcome scores for comatose cardiac arrest patients from clinical ...
Every hospital records its patients' stories in its own dialect. One electronic medical record system may store a diagnosis as ...
In the labyrinthine depths of electronic health records (EHRs), vital information about patients’ mental health silently resides, often obscured and ...
A groundbreaking advancement in digital health technology has been unveiled by a team of engineers at the University of California ...
In a groundbreaking advancement for clinical medicine, researchers have unveiled DxDirector, a sophisticated agentic large language model (LLM) designed to ...
In a groundbreaking advance poised to reshape oncology clinical trials, researchers have unveiled the tremendous potential of human-AI collaboration to ...
In a revolutionary leap towards enhancing patient care and operational efficiency, recent research has illuminated the effectiveness and acceptability of ...
Artificial Intelligence (AI) has evolved dramatically over the past few years, influencing various sectors, including healthcare, finance, and education. One ...
In an era where artificial intelligence (AI) is increasingly shaping the trajectory of technological advancement, its application within the health ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine