AIMC Topic: Machine Learning
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Advancements in Neuroanesthesia Through Artificial Intelligence.
Anesthesiology clinics
Jul 4, 2025
Artificial intelligence (AI) is transforming neuroanesthesia by enhancing precision and efficiency in managing patients during neurosurgical procedures. AI uses advanced algorithms and machine learning techniques to predict complications, optimize an...
Machine learning-based detection of changes in mapping the mangrove forest of the Yangon estuary, Southeast Asia.
Marine environmental research
Jul 4, 2025
Mangrove forests are globally acknowledged for stabilizing coastlines, reducing wave energy, and protecting coastal habitats and adjacent land uses from extreme events. However, most regions experience alarming mangrove loss against natural and human...
[AI in rehabilitation-application of artificial mental models for personalized medicine].
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Jul 4, 2025
Artificial intelligence (AI) can support patient-centered care in prevention and rehabilitation. In Germany, almost 1.9 million patients were treated in rehabilitation hospitals in 2023, mostly due to musculoskeletal disorders. The success of rehabil...
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction.
Journal of biomedical informatics
Jul 4, 2025
Electronic Health Records (EHRs) depict patient-related information and have significantly contributed to advancements in healthcare fields. The abundance of EHR data provides exceptional opportunities for developing clinical predictive models. Howev...
The Impact of Machine Learning Mortality Risk Prediction on Clinician Prognostic Accuracy and Decision Support: A Randomized Vignette Study.
Medical decision making : an international journal of the Society for Medical Decision Making
Jul 4, 2025
BackgroundMachine learning (ML) algorithms may improve the prognosis for serious illnesses such as cancer, identifying patients who may benefit from earlier palliative care (PC) or advance care planning (ACP). We evaluated the impact of various prese...
Mitigating Opioid Dependence in Orthopaedic Surgery: Current Strategies and Future Directions.
British journal of hospital medicine (London, England : 2005)
Jul 4, 2025
The opioid crisis presents a significant burden to patients and healthcare systems. Orthopaedic surgery involves treating patients with significant pain demands, therefore opioid stewardship in this specialty is an important area in targeting the opi...
Machine-learning based strategy identifies a robust protein biomarker panel for Alzheimer's disease in cerebrospinal fluid.
Alzheimer's research & therapy
Jul 4, 2025
BACKGROUND: The complex pathogenesis of Alzheimer's disease (AD) has resulted in limited current biomarkers for its classification and diagnosis, necessitating further investigation into reliable universal biomarkers or combinations.
Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts.
BMC medical informatics and decision making
Jul 4, 2025
BACKGROUND: The incidence of intensive care unit (ICU) admissions and the corresponding mortality rates among cancer patients are both high. However, the existing scoring systems all lack specificity. This research seeks to establish and validate a p...
Predicting Quality of Life in People Living with HIV: A Machine Learning Model Integrating Multidimensional Determinants.
Health and quality of life outcomes
Jul 4, 2025
OBJECTIVE: With survival steadily improving among people living with HIV(PLWH), quality of life (QoL) has emerged as the ultimate benchmark of therapeutic success. We therefore aimed to develop and validate machine learning models that predict QoL tr...
Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach.
BMC medical imaging
Jul 4, 2025
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model that integrates radiomics and conventional radiological features to predict the success of single-session extracorporeal shock wave lithotripsy (ESWL) for ureteral sto...
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