AIMC Topic: Retrospective Studies
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Multi-parameter MRI deep learning model for lymphovascular invasion assessment in invasive breast ductal carcinoma: A multicenter, retrospective study.
Clinical radiology
Jun 25, 2025
AIMS: To investigate the value of multi-parametric magnetic resonance imaging (MRI)-based deep learning (DL) in predicting the Lymphovascular Invasion (LVI) status of invasive breast ductal cancer (IBDC).
Predicting complications in breast reconstruction: External validation of a machine learning model.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Jun 25, 2025
BACKGROUND: Nipple-sparing mastectomy (NSM) with immediate implant-based breast reconstruction provides aesthetic and psychosocial benefits, but nipple-areolar complex (NAC) necrosis remains a significant risk. This study externally validated a previ...
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses.
Journal of biomedical informatics
Jun 25, 2025
OBJECTIVE: This study introduces a novel evaluation framework, GPTRadScore, to systematically assess the performance of multimodal large language models (MLLMs) in generating clinically accurate findings from CT imaging. Specifically, GPTRadScore lev...
Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening for Higher Fecal Immunochemical Test Adoption Among Spanish-Speaking Patients: Retrospective Analysis.
Journal of medical Internet research
Jun 25, 2025
BACKGROUND: Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic White populations. While artificial intelligence (AI) shows promise in health care delivery, concerns exi...
Construction of a novel online calculator for prediction of osteoporosis risk in Chinese type 2 diabetes patients.
Experimental gerontology
Jun 24, 2025
BACKGROUND: Type 2 diabetes (T2D) has been established as an independent risk factor for osteoporosis, often resulting in a poor prognosis. Thus, it is crucial for clinicians to diagnose osteoporosis in diabetic patients. This study aimed to develop ...
Machine learning model for the prediction of postoperative acute kidney injury (AKI) in neonates undergoing digestive surgery.
Pediatric surgery international
Jun 24, 2025
OBJECTIVE: The aim of our study is to determine the main predictors of postoperative AKI in neonates using machine learning models compared with the logistic regression model.
Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.
European journal of hospital pharmacy : science and practice
Jun 24, 2025
OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, thei...
Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.
PloS one
Jun 24, 2025
This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a real-world pilot setting as part of a translational research project aimed at designing and clinically validating a portable, cost-effective device su...
The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.
The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Jun 23, 2025
: Early identification and timely preventive interventions play an essential role for improving the prognosis of newborns with necrotizing enterocolitis (NEC). Thus, establishing a novel and simple prediction model is of great clinical significance. ...
Enhancing MRI efficiency in musculoskeletal examinations: Impact of optimized facility design and workflow optimization efforts.
European journal of radiology
Jun 23, 2025
BACKGROUND: To assess the workflow efficiency of an optimized MRI facility design compared to conventional facilities.
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