Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach.

: Sepsis is characterized by an atypical immune response to infection and is a dangerous health problem leading to significant mortality. Current diagnostic methods exhibit insufficient sensitivity and specificity and require the discovery of precise biomarkers for the early diagnosis and treatment of sepsis. Platelets, known for their hemostatic abilities, also play an important role in immunological responses.

Assessment of Sepsis Risk at Admission to the Emergency Department: Clinical Interpretable Prediction Model.

This study aims to develop an interpretable prediction model based on explainable artificial intelligence to predict bacterial sepsis and discover important biomarkers. A total of 1572 adult patients, 560 of whom were sepsis positive and 1012 of whom were negative, who were admitted to the emergency department with suspicion of sepsis, were examined. We investigated the performance characteristics of sepsis biomarkers alone and in combination for confirmed sepsis diagnosis using Sepsis-3 criteria.

Effectiveness of Diffusion Tensor Imaging in Determining Cervical Spondylotic Myelopathy.

Aim: To determine the effectiveness of diffusion tensor imaging (DTI) in diagnosing cervical spondylotic myelopathy (CSM) in patients with no findings detected in conventional magnetic resonance imaging (MRI).

Material And Methods: Fifty-four patients who presented for cervical MRI between January 2016 and June 2016, with symptoms such as neck pain, paresis, and numbness in hands, were included in the study. The patients were split into four groups based on their degrees of spinal stenosis.