Objective: Revise to include direct attribution. Key Findings: Add direct sourcing for each finding. Interpretation: Remove editorial interpretation. Limitation
Objective: To develop a rapid and accurate method for detecting heteroresistance (HR) in bacterial populations from bloodstream infections using droplet microfl
Objective: To inform about the FDA's approval of Afrezza for children and adolescents with diabetes. Key Findings: Afrezza offers a needle-free mealtime insulin
Objective: To demonstrate the collaborative approach between a vascular surgeon and a neurosurgeon in performing anterior lumbar interbody fusion (ALIF). Key Fi
Objective: To inform about the FDA's approval of guselkumab for inhibiting structural joint damage in adults with active psoriatic arthritis. Key Findings: Guse
Objective: To investigate whether uric acid levels can differentiate between lipedema, lymphedema, and overweight. Key Findings: Median uric acid levels were 5.
Objective: To analyze the differences in antibiotic resistance and biofilm-forming capacity of supragingival bacteria in patients with active dental caries comp
Patients with active dental caries exhibit species-specific differences in antibiotic resistance compared to those with good oral health.
In a study of 319 bacterial isolates, significant differences in susceptibility to ampicillin were found in Veillonella parvula between caries and healthy patients.
Biofilm formation varied, with 79% of isolates from caries patients classified as moderate biofilm producers, while 82% from healthy patients were non-biofilm producers.
Resistant isolates were identified across multiple taxa, including Streptococcus oralis and Fusobacterium nucleatum, with beta-lactamase activity confirmed in some.
The study's findings indicate that associations between caries and antibiotic resistance are species-specific and not universally applicable across all taxa.
Objective: To analyze changes in medication prescribing patterns and disease activity in rheumatoid arthritis (RA) patients managed under a treat-to-target stra
SuRImage, an AI model, was evaluated in a multicenter study using smartphone photos of lung specimens for intraoperative assessment.
The model demonstrated moderate-to-good discrimination in diagnostic tasks and outperformed frozen section analysis in predefined comparisons.
SuRImage achieved high sensitivity and specificity, with 97% sensitivity and 92% specificity for binary identification of invasive lung adenocarcinoma.
The study included 1,727 patients and 2,910 surgical resection images, focusing on clinical stage IA lung adenocarcinoma.
SuRImage's performance varied across subgroups, particularly showing lower discrimination for grade 1 invasive adenocarcinoma.
Objective: To address the challenges in diagnosing rare cancers by improving access to expertise and data through a mobile digital pathology lab, particularly i
Objective: Revise to include the significance of the FDA decisions. Key Findings: Revise to include specific trial details and safety profiles. Interpretation:
Objective: Revise to ensure direct connection to the source material. Key Findings: Include direct attribution for each finding. Interpretation: Remove unsuppor
Objective: To investigate the association between serum magnesium levels and diabetic retinopathy (DR) in patients with type 2 diabetes. Key Findings: Low serum
Objective: To explore the potential of AI-driven analysis of retinal images in assessing brain health and its implications for dementia and stroke risk stratifi
AI-driven analysis of retinal images may support earlier risk stratification for dementia and stroke, but evidence for improved clinical outcomes is insufficient.
Nearly half of dementia cases may be preventable or delayed through risk factor modification, and up to 80% of strokes can be prevented with timely detection.
The retina's shared characteristics with the central nervous system make it a potential site for assessing brain health through AI-driven 'oculomics'.
Most oculomics models are in early clinical evaluation and have been judged by technical performance metrics, which may not establish clinical usefulness.
The authors call for clearer definitions and regulatory standards for oculomics tools, emphasizing they should complement existing screening strategies.
Objective: To evaluate the efficacy and safety of EYP-1901 in treating retinal exudative diseases such as wet age-related macular degeneration (AMD) and diabeti
Objective: To investigate the evolution of cognitive impairment following stroke over time and identify recovery trajectories across different cognitive domains
Objective: To outline widely used evidence-based guidelines and clinical tools that inform internal medicine care. Key Findings: Annual updates from the America