AIMC Topic: Diagnosis

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Automatic Generation of Conditional Diagnostic Guidelines.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The diagnostic workup for many diseases can be extraordinarily nuanced, and as such reference material text often contains extensive information regarding when it is appropriate to have a patient undergo a given procedure. In this work we employ a th...

Dynamic regulation of RNA editing in human brain development and disease.

Nature neuroscience
RNA editing is increasingly recognized as a molecular mechanism regulating RNA activity and recoding proteins. Here we surveyed the global landscape of RNA editing in human brain tissues and identified three unique patterns of A-to-I RNA editing rate...

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM.

IEEE journal of biomedical and health informatics
With the advances of machine learning algorithms and the pervasiveness of network terminals, the online medical prediagnosis system, which can provide the diagnosis of healthcare provider anywhere anytime, has attracted considerable interest recently...

Enhancing Semantic and Structure Modeling of Diseases for Diagnosis Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Electronic Health Records (EHRs) are valuable healthcare data, aiding researchers and doctors in improving diagnosis accuracy. Researchers have developed several predictive models by learning disease representations to forecast the potential diagnosi...

From open-ended to multiple-choice: evaluating diagnostic performance and consistency of ChatGPT, Google Gemini and Claude AI.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
OBJECTIVE: Aim: To determine the performance and response repeatability of freely available LLMs in diagnosing diseases based on clinical case descriptions.

Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study.

JAMA
IMPORTANCE: Artificial intelligence (AI) could support clinicians when diagnosing hospitalized patients; however, systematic bias in AI models could worsen clinician diagnostic accuracy. Recent regulatory guidance has called for AI models to include ...