AIMC Topic: Diagnosis, Differential
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ChatGPT and trainee performances in the management of maxillofacial patients.
Journal of stomatology, oral and maxillofacial surgery
Sep 25, 2024
INTRODUCTION: ChatGPT is an artificial intelligence based large language model with the ability to generate human-like response to text input, its performance has already been the subject of several studies in different fields. The aim of this study ...
MRI-based deep learning for differentiating between bipolar and major depressive disorders.
Psychiatry research. Neuroimaging
Sep 25, 2024
Mood disorders, particularly bipolar disorder (BD) and major depressive disorder (MDD), manifest changes in brain structure that can be detected using structural magnetic resonance imaging (MRI). Although structural MRI is a promising diagnostic tool...
The Potential of Chat-Based Artificial Intelligence Models in Differentiating Between Keloid and Hypertrophic Scars: A Pilot Study.
Aesthetic plastic surgery
Sep 25, 2024
BACKGROUND: Lasting scars such as keloids and hypertrophic scars adversely affect a patient's quality of life. However, these scars are frequently underdiagnosed because of the complexity of the current diagnostic criteria and classification systems....
Exploring Deep Learning Applications using Ultrasound Single View Cines in Acute Gallbladder Pathologies: Preliminary Results.
Academic radiology
Sep 20, 2024
RATIONALE AND OBJECTIVES: In this preliminary study, we aimed to develop a deep learning model using ultrasound single view cines that distinguishes between imaging of normal gallbladder, non-urgent cholelithiasis, and acute calculous cholecystitis r...
Non-traumatic brachial plexopathy identification from routine MRIs: Retrospective studies with deep learning networks.
European journal of radiology
Sep 18, 2024
PURPOSE: This study aims to seek an optimized deep learning model for differentiating non-traumatic brachial plexopathy from routine MRI scans.
A retrospective study differentiating nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis on computed tomography using radiomics and machine learning algorithms.
Annals of medicine
Sep 16, 2024
OBJECTIVE: To evaluate the effectiveness of a machine learning based on computed tomography (CT) radiomics to distinguish nontuberculous mycobacterial pulmonary disease (NTM-PD) from pulmonary tuberculosis (PTB).
Machine learning-based discrimination of unipolar depression and bipolar disorder with streamlined shortlist in adolescents of different ages.
Computers in biology and medicine
Sep 16, 2024
BACKGROUND: Variations in symptoms and indistinguishable depression episodes of unipolar depression (UD) and bipolar disorder (BD) make the discrimination difficult and time-consuming. For adolescents with high disease prevalence, an efficient diagno...
Accuracy of deep learning in the differential diagnosis of coronary artery stenosis: a systematic review and meta-analysis.
BMC medical imaging
Sep 16, 2024
BACKGROUND: In recent years, as deep learning has received widespread attention in the field of heart disease, some studies have explored the potential of deep learning based on coronary angiography (CAG) or coronary CT angiography (CCTA) images in d...
Unveiling the risks of ChatGPT in diagnostic surgical pathology.
Virchows Archiv : an international journal of pathology
Sep 13, 2024
ChatGPT, an AI capable of processing and generating human-like language, has been studied in medical education and care, yet its potential in histopathological diagnosis remains unexplored. This study evaluates ChatGPT's reliability in addressing pat...
Multimodal convolutional neural network-based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video).
Gastrointestinal endoscopy
Sep 13, 2024
BACKGROUND AND AIMS: Deep learning algorithms gained attention for detection (computer-aided detection [CADe]) of biliary tract cancer in digital single-operator cholangioscopy (dSOC). We developed a multimodal convolutional neural network (CNN) for ...
Humans
Neural Networks, Computer
Algorithms
Cholangitis
Endoscopy, Digestive System
Biliary Tract Neoplasms
Cholestasis
Convolutional Neural Networks
ROC Curve
Diagnosis, Differential
Constriction, Pathologic
Video Recording
Bile Duct Neoplasms
Proof of Concept Study
Male
Cholangiocarcinoma
Female
Middle Aged
Diagnosis, Computer-Assisted
Aged
Deep Learning
Sensitivity and Specificity
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