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A mutual inclusion mechanism for precise boundary segmentation in medical images.
Front Bioeng Biotechnol
December 2024
School of Information Engineering, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Introduction: Accurate image segmentation is crucial in medical imaging for quantifying diseases, assessing prognosis, and evaluating treatment outcomes. However, existing methods often fall short in integrating global and local features in a meaningful way, failing to give sufficient attention to abnormal regions and boundary details in medical images. These limitations hinder the effectiveness of segmentation techniques in clinical settings.
View Article and Find Full Text PDFIntracranial Structural Malformations in Children in Tibet: CT and MRI Findings in a Single Tertiary Center.
Curr Med Imaging
January 2025
Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, P.R.China.
Objectives: The objective of this study was to summarize the findings of children's intracranial congenital or developmental malformations found during imaging procedures in the Tibetan plateau.
Methods: We retrospectively reviewed the imaging data of the suspected patients who presented with the central nervous system (CNS) malformations and were enrolled either through the clinic or after ultrasound examinations between June 2019 and June 2023 in our institution. All imaging data were interpreted by two experienced radiologists through consensus reading.
Comparison of Endoscopic Ultrasound and CT Scan in the Diagnosis of Esophageal Duplication Cysts.
Dig Dis Sci
November 2024
Department of Gastroenterology, Abdominal Centre, Helsinki University Hospital HUS, University of Helsinki, POB 340, 00029 HUS, Helsinki, Finland.
Article Synopsis
- Esophageal duplication cysts (EDCs) are rare congenital abnormalities often found incidentally during endoscopic or CT scans, and their diagnosis and surgical treatment are not well-documented.
- A study involving 82 patients from 2001 to 2020 examined clinical and imaging data for those suspected of having EDCs, with 31 undergoing surgical treatment, to evaluate the effectiveness of endoscopic ultrasound (EUS) and CT scans.
- Results showed that younger patients with larger lesions were more likely to have surgery, and both EUS and CT scans had a diagnosis accuracy of around 58%, indicating that neither method alone reliably distinguishes EDCs from other masses.
Radiologists Who Lost Their Way: Nazi Eugenics.
Acad Radiol
September 2024
Department of Radiology, Indiana University School of Medicine, 702 North Barnhill Drive, Room 1053, Indianapolis, Indiana 46202, USA. Electronic address:
Medical artificial intelligence for clinicians: the lost cognitive perspective.
Lancet Digit Health
August 2024
Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia.
The development and commercialisation of medical decision systems based on artificial intelligence (AI) far outpaces our understanding of their value for clinicians. Although applicable across many forms of medicine, we focus on characterising the diagnostic decisions of radiologists through the concept of ecologically bounded reasoning, review the differences between clinician decision making and medical AI model decision making, and reveal how these differences pose fundamental challenges for integrating AI into radiology. We argue that clinicians are contextually motivated, mentally resourceful decision makers, whereas AI models are contextually stripped, correlational decision makers, and discuss misconceptions about clinician-AI interaction stemming from this misalignment of capabilities.
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