Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison.

Early detection of liver malignancy based on medical image analysis plays a crucial role in patient prognosis and personalized treatment. This task, however, is challenging due to several factors, including medical data scarcity and limited training samples. This paper presents a study of three important aspects of radiomics feature from multiphase computed tomography (CT) for classifying hepatocellular carcinoma (HCC) and other focal liver lesions: wavelet-transformed feature extraction, relevant feature selection, and radiomics features-based classification under the inadequate training samples.

AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions.

Clinical decision support tools can improve diagnostic performance or reduce variability, but they are also subject to post-deployment underperformance. Although using AI in an assistive setting offsets many concerns with autonomous AI in medicine, systems that present all predictions equivalently fail to protect against key AI safety concerns. We design a decision pipeline that supports the diagnostic model with an ecosystem of models, integrating disagreement prediction, clinical significance categorization, and prediction quality modeling to guide prediction presentation.

Yes, we CAM: Increasing physician communication about complementary and alternative medicine through electronic medical record prompts in a pediatric hospital.

Background And Purpose: Over half of patients utilize complementary and alternative medicine (CAM), yet fewer than 10 % of physicians inquire about use. This prospective cohort study sought to increase patient-provider communication about CAM through electronic medical record (EMR) prompts and education, as well as study concordance rates of physician and nursing CAM-related documentation.

Materials And Methods: Recordings in history and physical (H&P) documents authored by first-year pediatric residents were used as a proxy for communication.

Symptomatic perioperative venous thromboembolism is a frequent complication in patients with a history of deep vein thrombosis.

Objectives: Patients who undergo surgery are at risk for venous thromboembolism (VTE), and a history of prior deep vein thrombosis (DVT) increases that risk. This study determined the incidence and risk factors for symptomatic perioperative VTE in patients with a prior diagnosis of DVT.

Methods: All lower extremity DVTs, diagnosed between January 2002 and December 2006, were identified through a vascular database.