Latest AI and machine learning research in medical education for healthcare professionals.
To evaluate if a tool-using agent-based system utilizing large language models (LLMs) for medical question-answering (QA) tasks outperforms standalone LLMs. We developed a unified, open-source LLM-based agentic system that integrates document retrieval, re-ranking, evidence grounding, and diagnosis generation to support dynamic, multi-step medical reasoning. Our system features a lightweight retri...
To evaluate convolutional neural network (CNN) model training strategies that optimize the performance of calcaneus fracture detection on radiographs at different image resolutions. This retrospective study included foot radiographs from a single hospital between 2015 and 2022 for a total of 1,775 x-ray series (551 fractures; 1,224 without) and was split into training (70%), validation (15%), and ...
Current radiotherapy (RT) planning workflows rely on pre-treatment simulation CT (sCT), which can significantly delay treatment initiation, particular...
Documentation demands in psychiatric practice diminish time for direct patient care and are associated with clinician burnout. Ambient artificial inte...
Diagnostic error in high-stakes clinical environments remains a significant cause of preventable harm. While a new generation of customisable digital ...
Advances in clinical research methods are frequently published in biomedical journals, but identifying these articles remains challenging due to their...
Simulated medical scenarios are useful for evaluating and developing clinical competencies but scheduling them is expensive and time-consuming. Large ...
Large language models (LLMs) are rapidly entering clinical care, yet their definitionally probabilistic outputs have delivered a variety of grossly un...
Surgical pathology reports provide essential diagnostic information critical for cancer staging, treatment planning, and cancer registry documentation...
Simulation models inform health policy decisions by integrating data from multiple sources and forecasting outcomes when there is a lack of comprehens...
A major concern in applying large language models (LLMs) to medicine is their reliability. Because LLMs generate text by sampling the next token (or w...
OpenEvidence is a popular artificial intelligence (AI) based medical search engine that generates evidence-based answers. It includes a quick search e...
Bariatric surgery is an established treatment for obesity and its associated comorbidities, including diabetes, hypertension, sleep apnea, and hyperch...
Educational digitization has made integrating digital technology into physical education a pivotal strategy for transforming pedagogy. Guided by the T...
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and ...
INTRODUCTION: Health professions schools vary widely in integration of artificial intelligence (AI) into their curriculum, and freely available instru...
The precise simulation of turbulent flows holds immense significance across various scientific and engineering domains, including climate science, f...
Recent advancements in scene text spotting have focused on end-to-end methodologies that heavily rely on precise location annotations, which are oft...
The impeller, as a key component of artificial heart pumps, experiences high shear stress due to its rapid rotation, which may lead to hemolysis. To e...
While face recognition (FR) models have brought remarkable convenience in face verification and identification, they also pose substantial privacy r...