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Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection.
JAMA Netw Open
January 2025
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts.
Importance: Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimicrobial therapy. National guidelines for the management of uncomplicated UTI were published in 2011, but the extent to which they align with current practices, patient diversity, and pathogen biology, all of which have evolved greatly in the time since their publication, is not fully known.
Objective: To reevaluate the effectiveness and adverse event profile for first-line antibiotics, fluoroquinolones, and oral β-lactams for treating uncomplicated UTI in contemporary clinical practice.
Computerized assessment of neuropsychological functioning in pediatric brain tumor patients.
J Neurooncol
January 2025
Department of Neurosurgery, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei, 10449, Taiwan.
Purpose: Advances in multidisciplinary treatment of childhood brain tumors have significantly prolonged survival and reduced treatment-related complications. This makes the accessibility of digital neurocognitive assessment an important issue in the post-pandemic era.
Methods: Twenty pediatric brain tumor patients were recruited between August 2023 and August 2024, and a total of eight standardized Cambridge Neuropsychological Test Automated Battery (CANTAB) tests targeting executive function, memory, and attention were applied on a digital system.
Optic Disc Pallor in Parkinson's Disease: A UK Biobank Study.
Mov Disord
January 2025
Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Background: Recent studies have suggested that retinal changes measured with optical coherence tomography are detectable in early Parkinson's disease (PD), highlighting the potential of ophthalmic biomarkers for diagnosis and monitoring.
Objective: We set out to investigate the relationship between optic disc pallor measured in fundoscopy images and both prevalent and incident PD.
Methods: We analyzed color fundus photographs from 787 UK Biobank participants: 89 with prevalent PD, 317 with incident PD, and 381 age- and sex-matched controls.
Ultra High-Density Mapping and Ablation of Localized Micro-Reentrant Tachycardias: Insight From the CHARISMA Registry.
J Cardiovasc Electrophysiol
January 2025
Cardiology department, "S. Maria dei Battuti" Hospital, Via Brigata Bisagno, Conegliano (TV), Italy.
Background: Recent advancements in ultra-high-density mapping (UHDM) featuring automated functionalities have enhanced our understanding of micro-reentrant atrial tachycardias (mAT) circuits and the precise localization of the origin.
Purpose: To evaluate the diagnostic support provided by an automated UHDM algorithm in guiding the ablation of mATs.
Methods: Consecutive patients eligible for AT ablation in 22 Italian centers were prospectively enrolled.
Predicting conversion in cognitively normal and mild cognitive impairment individuals with machine learning: Is the CSF status still relevant?
Alzheimers Dement
January 2025
Department of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Introduction: Machine learning (ML) helps diagnose the mild cognitive impairment-Alzheimer's disease (MCI-AD) spectrum. However, ML is fed with data unavailable in standard clinical practice. Thus, we tested a novel multi-step ML approach to predict cognitive worsening.
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