AIMC Topic: Diagnosis, Differential

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Artificial Intelligence Methods for the Differential Diagnosis of Irritable Bowel Syndrome and Inflammatory Bowel Disease: A Systematic Review.

Journal of gastrointestinal and liver diseases : JGLD
BACKGROUND AND AIMS: Differential diagnosis between irritable bowel syndrome (IBS) and inflammatory bowel disease (IBD) represents a major challenge in modern gastroenterology due to overlapping symptoms, limitations of traditional diagnostic methods...

Diagnostic accuracy of artificial intelligence models in childhood exanthematous diseases: a comparative analysis against clinical diagnosis.

European journal of pediatrics
PURPOSE: Differentiating among exanthematous diseases is frequently challenging due to their overlapping symptomatology. We, therefore, aimed to evaluate the diagnostic accuracy of a consultant physician, a resident physician, and various AI models (...

Surface proteome of plasma extracellular vesicles differentiates between SARS-CoV-2 and influenza infection.

Virulence
Small extracellular vesicles (sEVs) play a role in the pathophysiology of viral respiratory infections and may be suitable biomarkers for COVID-19 and Influenza infections, or targets for treatment. We investigated differences in the surface proteome...

MRI quantitative imaging biomarkers in differentiating brain parenchymal tuberculoma and lung cancer brain metastases.

European journal of medical research
BACKGROUND: Brain parenchymal tuberculoma (BT) and brain metastases (BM) originating from lung cancer often exhibit overlapping clinical and imaging features, making accurate differentiation challenging. Current diagnostic approaches remain suboptima...

Solving gaps in clinical reasoning is the cure to neurophobia in artificial intelligence.

Journal of the neurological sciences
BACKGROUND AND OBJECTIVES: This is an observational study that assesses the clinical reasoning of an artificial intelligence chatbot using previously published cases. The primary objective of the study is to assess the unique challenges neurologic ca...

Diagnostic performance of PET-based artificial intelligence for differentiating Parkinson's disease from normal controls or atypical parkinsonism: a systematic review and meta-analysis.

Journal of neurology
PURPOSE: This study aims to evaluate the diagnostic performance of PET-based artificial intelligence (AI) for differentiating Parkinson's disease (PD) from normal controls (NC) or atypical parkinsonism (AP).

Evaluating the Accuracy of the Frysian Questionnaire for Differentiation of Musculoskeletal Complaints for Triage of Musculoskeletal Diseases: Algorithm Development and Validation Study.

JMIR medical informatics
BACKGROUND: Inflammatory rheumatic diseases (IRDs) affect 5% of the general population, whereas 35% of the population experiences musculoskeletal concerns. IRDs cause early disability, reduced life expectancy, and considerable health care costs. Earl...

Hybrid neurofibroma/schwannoma in schwannomatosis-a diagnostically challenging benign peripheral nerve sheath tumour.

Familial cancer
Hybrid neurofibroma/schwannoma tumors (HNS) represent a still underrecognized, yet clinically and diagnostically significant entity within the spectrum of schwannomatosis (SWN). While classical schwannomas have been well known for decades, HNS have o...

The need for speed: using nystagmus velocity profiles and machine learning models to separate canalithiasis BPV from its mimics.

Journal of neurology
PURPOSE: Separating BPV from other positional nystagmus types can be challenging. We examined the utility of nystagmus slow-phase velocity (SPV) profiles when seeking to separate canalithiasis benign positional vertigo (BPV) from its mimics.