Trauma is responsible for 180,000 deaths annually in the United States and accounts for 59% of deaths in the population younger than 45 years. 86% of preventable deaths are related to sequalae of massive torso hemorrhage. Rapid precision diagnostic tools are needed to triage patients for early activation of massive transfusion protocols and urgent surgical or angiographic hemostatic intervention to circumvent the vicious cycle of acidosis, coagulopathy, hypothermia, and death resulting from exsanguination. Whole-body CT angiography (WBCTA) is the workhorse screening and surgical planning modality for torso hemorrhage. Lethal but preventable hemorrhage typically arises from pelvic fractures and organ lacerations, manifesting on WBCTA as foci of contrast extravasation and pooled cavitary hemorrhage (e.g., pelvic hematoma, hemothorax, or hemoperitoneum). Rapid assessment of WBCTA can result in earlier intervention, with associated survival benefit, but interpretation delays are common and increase with severity of injury, transfusion requirement, and mortality risk due to the increasing complexity of polytrauma. Round-the-clock expertise in trauma imaging is concentrated in select high-volume level I trauma centers, and community or teleradiology practices may lack experience interpreting trauma WBCTA studies. Clinical indices such as the Shock Index have limited sensitivity as screening tools for forecasting actionable hemorrhage-related outcomes. WBCTA computer aided diagnosis (CAD) tools that detect bleeding pelvic fractures and organ lacerations, classify severity grade, and deliver precise voxelwise volumetric measurements of multicavitary hemorrhage burden will accelerate and standardize image analysis, reduce turnaround time for reporting of critical results, improve the accuracy and objectivity of clinical decision making, and ultimately reduce time to life-saving hemorrhage control interventions. To capitalize on the benefits of point-of-care CT-based CAD tools in the fast-paced, and safety critical trauma care setting, such tools must be rapid, accurate, generalizable, and elicit a high level of end- user trust. To minimize bias, ensure clinical utility, and maximize robustness for turn-key deployment in future multicenter clinical trials, tools must scale to large diverse populations, and achieve human factors engineering goals established through expert target user input. Our team will bring to bear combined technical and clinical expertise in trauma radiology, medical image processing, and human-centered software design to create an orchestrated suite of rapid, accurate, clinically relevant, and user-centered CAD tools for torso hemorrhage. In Aim 1, we will leverage AI-assisted annotation to curate a uniquely large dataset of consecutive admission trauma WBCTAs. In Aim 2, we will use human-centered design principles to develop a suite of interactive high- trust CAD tools. In Aim 3, we will assess generalizability with a large out-of-sa...