AIMC Topic: Diagnosis, Differential

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Discrimination of benign and malignant breast lesions on dynamic contrast-enhanced magnetic resonance imaging using deep learning.

Journal of cancer research and therapeutics Dec 28, 2023
PURPOSE: To evaluate the capability of deep transfer learning (DTL) and fine-tuning methods in differentiating malignant from benign lesions in breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).
Female Sensitivity and Specificity Breast Neoplasms Contrast Media Magnetic Resonance Imaging Deep Learning Diagnosis, Differential ROC Curve Breast Diffusion Magnetic Resonance Imaging Humans Retrospective Studies
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Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology Dec 18, 2023
BACKGROUND: The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and gallbladder cancer (GBC) is challenging yet critical. We aimed at utilizing the deep learning (DL)-based approach for differentiating XGC and GBC on ultrasoun...
Xanthomatosis Granuloma Gallbladder Neoplasms Cholecystitis Adult Humans Sensitivity and Specificity Prospective Studies Male Female Ultrasonography Middle Aged Aged Diagnosis, Differential Deep Learning
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Clinical reasoning using ChatGPT: Is it beyond credibility for physiotherapists use?

Physiotherapy theory and practice Dec 11, 2023
BACKGROUND: Artificial Intelligence (AI) tools are gaining popularity in healthcare. OpenAI released ChatGPT on November 30, 2022. ChatGPT is a language model that comprehends and generates human language, providing instant data analysis and recommen...
Clinical Decision-Making Diagnosis, Differential Clinical Reasoning Physical Therapists Humans Artificial Intelligence
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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Dec 5, 2023
PURPOSE: To investigate the feasibility of deep learning radiomics (DLR) based on multimodal ultrasound to differentiate the primary cancer sites of metastatic cervical lymphadenopathy (CLA).
Multimodal Imaging Diagnosis, Differential Feasibility Studies Middle Aged Elasticity Imaging Techniques Deep Learning Adult Thyroid Neoplasms Neck Radiomics Lymphadenopathy Lymphatic Metastasis Male Head and Neck Neoplasms Humans Contrast Media Ultrasonography Female Lung Neoplasms Aged
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Machine Learning Methods Based on CT Features Differentiate G1/G2 From G3 Pancreatic Neuroendocrine Tumors.

Academic radiology Dec 4, 2023
RATIONALE AND OBJECTIVES: To identify CT features for distinguishing grade 1 (G1)/grade 2 (G2) from grade 3 (G3) pancreatic neuroendocrine tumors (PNETs) using different machine learning (ML) methods.
Aged Adult Sensitivity and Specificity Male Retrospective Studies Tomography, X-Ray Computed Female Pancreatic Neoplasms Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Neuroendocrine Tumors Middle Aged Support Vector Machine Diagnosis, Differential Machine Learning Algorithms Humans
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Deep learning nomogram for preoperative distinction between Xanthogranulomatous cholecystitis and gallbladder carcinoma: A novel approach for surgical decision.

Computers in biology and medicine Dec 1, 2023
The distinction between Xanthogranulomatous Cholecystitis (XGC) and Gallbladder Carcinoma (GBC) is challenging due to their similar imaging features. This study aimed to differentiate between XGC and GBC using a deep learning nomogram model built fro...
Diagnosis, Differential Gallbladder Neoplasms Cholecystitis Xanthomatosis Humans Deep Learning Nomograms
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Diagnosis knowledge constrained network based on first-order logic for syndrome differentiation.

Artificial intelligence in medicine Nov 30, 2023
Traditional Chinese medicine (TCM) has been recognized worldwide as a valuable asset of human medicine. The procedure of TCM is to treatment based on syndrome differentiation. However, the effect of TCM syndrome differentiation relies heavily on the ...
Humans Diagnosis, Differential Machine Learning Medicine, Chinese Traditional
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Deep Learning, Constrictive Pericarditis, and its Occasional Doppelganger: A Step Closer to Clinical Realization.

JACC. Cardiovascular imaging Nov 29, 2023
Predictive Value of Tests Pericarditis, Constrictive Deep Learning Diagnosis, Differential Humans
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[Making a diagnosis with the aid of the internet in times of large language models].

Nederlands tijdschrift voor geneeskunde Nov 28, 2023
The internet is an excellent aid in making diagnoses. One can retrieve diagnostic information from a reliable source such as a continuously updated textbook or search specifically for a diagnosis in bibliographic databases such as PubMed. Entry of a ...
Diagnosis, Differential Humans Natural Language Processing Algorithms Internet Decision Support Systems, Clinical
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Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.

Academic radiology Nov 27, 2023
RATIONALE AND OBJECTIVES: To construct and validate a deep learning radiomics (DLR) model based on X-ray images for predicting and distinguishing acute and chronic osteoporotic vertebral fractures (OVFs).
Prospective Studies Osteoporotic Fractures Female Chronic Disease Aged Acute Disease Aged, 80 and over Spinal Fractures Deep Learning Radiomics Humans Magnetic Resonance Imaging Nomograms Male Diagnosis, Differential Middle Aged
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