AIMC Topic: Female

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Hospital acquired drug resistant pathogens infections in patients with viral respiratory tract infections: a retrospective study.

BMC infectious diseases
BACKGROUND: Viral respiratory infections (VRTIs) caused by influenza (Flu) and COVID-19 pose significant global health challenges. Clinical outcomes are further exacerbated by infections with hospital acquired drug resistant pathogens (DRPs).

Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study.

JMIR medical informatics
BACKGROUND: As the older population grows, so does the prevalence of cognitive impairment, emphasizing the importance of early diagnosis. The Mini-Mental State Examination (MMSE) is vital in identifying cognitive impairment. It is known that degraded...

Development of an alcohol biosensor non-wear algorithm: laboratory-based machine learning and field-based deployment.

Scientific reports
Wrist-worn alcohol biosensors can continuously track alcohol consumption, but their measurements are disrupted when the device is removed. Left unaddressed, non-wear data compromises observations of alcohol use and subsequent predictions of intoxicat...

Non-contact, non-visual, multi-person hallway gait monitoring.

Scientific reports
This paper presents a multi-person gait monitoring system designed for efficient operation in cluttered environments. The system demonstrates robust capabilities in tracking multiple closely spaced individuals and accurately extracting the walking sp...

Temporal dynamics of early child-clinician prosodic synchrony predict one year autism intervention outcomes using AI driven affective computing.

Scientific reports
The patient-therapist interpersonal dynamics is a cornerstone of psychotherapy, yet how it shapes clinical outcomes remains underexplored and difficult to quantify. This is also true in autism, where interpersonal interplay is recognized as an active...

Machine learning to predict bacteriuria in the emergency department.

Scientific reports
Urinary tract infections (UTIs) are among the most common bacterial infections, yet they are both frequently misdiagnosed and inappropriately treated. We aimed to determine whether a machine learning model could accurately predict bacteriuria by usin...

Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data.

Scientific reports
Glioblastoma is an aggressive, malignant primary brain tumour and the most prevalent histological type of glioma. Our study attempted to investigate the independent predictors of overall survival (OS) and cancer-specific survival (CSS) in Asian patie...

From pilot to practice: a scoping review protocol mapping the development of AI-enabled solutions for maternal health using technology readiness levels.

BMJ open
INTRODUCTION: Maternal mortality remains a critical public health challenge in low- and middle-income countries (LMICs), where over 92% of global maternal deaths occur. Artificial intelligence (AI)-enabled solutions are increasingly recognised for th...

Large language models underperform in European general surgery board examinations: a comparative study with experts and surgical residents.

BMC medical education
BACKGROUND: Artificial intelligence (AI) has become a transformative tool in medical education and assessment. Despite advancements, AI models such as GPT-4o demonstrate variable performance on high-stakes examinations. This study compared the perfor...