Spatial-Aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging

Information Science, Computer Science, Artificial Intelligence, Medicine, Ophthalmology, Medical Imaging,
Glaucoma detection   3D optical coherence tomography   Transformer   gated recurrent units   spatial coherence   artificial intelligence   clinical decision support  

1. Academic Background—Innovative Diagnostic Tools Urgently Needed for Early Glaucoma Screening Glaucoma is one of the major diseases leading to irreversible blindness worldwide. According to studies such as [31], glaucoma is characterized by hidden early symptoms and irreversible visual impairment, making early detection and intervention crucial. ...

From Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research

Information Science, Computer Science, Artificial Intelligence, Medicine, Basic Medical Sciences, Medical Imaging, Life Sciences, Bioengineering,
digital twin   virtual human twin   digital health   clinical decision support   personalized health forecasting  

From Digital Twin to Virtual Human Twin: A “Moonshot” Project in Digital Health 1. Academic Background and Research Motivation Currently, the global healthcare system continues to face numerous unmet clinical and social needs, which manifest as a lack of treatment options, insufficient and expensive medical resources, lengthy waiting times, and ina...

Risk Model–Guided Clinical Decision Support for Suicide Screening: A Randomized Clinical Trial

Information Science, Artificial Intelligence, Medicine, Psychiatry,
suicide screening   clinical decision support   risk model   randomized clinical trial   suicide prevention   mental health   electronic health record  

Clinical Decision Support Guided by Risk Models in Suicide Screening: A Randomized Clinical Trial Academic Background Suicide prevention is a crucial topic in global public health, particularly in healthcare environments where identifying and intervening in suicide risks are top priorities. Traditional methods for identifying suicide risks rely mai...