AIMC Topic: Male

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Perspectives of Health Care Professionals on the Use of AI to Support Clinical Decision-Making in the Management of Multiple Long-Term Conditions: Interview Study.

Journal of medical Internet research
BACKGROUND: Managing multiple long-term conditions (MLTC) is complex. Clinical management guidelines are typically focused on individual conditions and lack a robust evidence base for patients with MLTC. MLTC management is largely delivered in primar...

Knowledge, attitudes, and practices of cardiovascular health care personnel regarding coronary CTA and AI-assisted diagnosis: a cross-sectional study.

Journal of global health
BACKGROUND: Artificial intelligence (AI) holds significant promise for medical applications, particularly in coronary computed tomography angiography (CTA). We assessed the knowledge, attitudes, and practices (KAP) of cardiovascular health care perso...

Exploratory development of human-machine interaction strategies for post-stroke upper-limb rehabilitation.

Journal of neuroengineering and rehabilitation
BACKGROUND: Stroke and its related complications, place significant burdens on human society in the twenty-first century, and lead to substantial demands for upper limb rehabilitation. To fulfill the rehabilitation needs, human-machine interaction (H...

Prediction of postoperative infection through early-stage salivary microbiota following kidney transplantation using machine learning techniques.

Renal failure
Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the lifelong immunosuppressive regimen increases the risk of infection, presenting significant clinical, and economic challenges. Identifying predictive bioma...

Automatically predicting lung tumor invasiveness using deep neural networks.

Medical engineering & physics
Early lung cancer invasive detection is important for further treatment and saving lives. In clinical practice, lung tumor invasiveness (LTI) detection is very challenging, imaging-based automatic prediction algorithms offer a non-invasive approach. ...

Automatic CNN-based 3D/2D non-rigid registration platform for fast 3D femur reconstruction and clinical 3D measurements from Bi-planar radiographs.

Computers in biology and medicine
PURPOSE: This paper presents an automatic 3D/2D non-rigid registration method for fast 3D reconstruction and clinical measurements of the femur.

Can circadian rhythms of heart rate variability identify major depressive disorder? - A study based on support vector machine analysis.

Asian journal of psychiatry
BACKGROUND: Major depressive disorder (MDD) is a prevalent and severe psychiatric condition for which objective diagnostic tools are lacking. Heart rate variability (HRV), an index of autonomic nervous system (ANS) function, has shown potential for d...

Developing self-regulated artificial intelligence learning (SRAIL) Student Attitudes Scale.

Acta psychologica
This research aims to develop a valid and reliable scale for measuring students' attitudes towards integrating artificial intelligence (AI) in self-regulated learning (SRL). In this study, 250 children from the Ankara province in Turkey participated....

Assessment of established prognostic factors and artificial intelligence-based evaluation of tumor-infiltrating lymphocytes in oral tongue squamous cell carcinoma.

Oral oncology
BACKGROUND: Traditional risk assessment for tongue cancer relies on clinicopathological parameters. Although tumor-infiltrating lymphocytes (TILs) are promising prognostic markers, their evaluation lacks standardization. This study aimed to validate ...

Glycoproteomics Analysis to Identify Potential Biomarkers and Investigate CD14 Monocyte Activation Mechanisms via Exosomal Proteins in Cerebral Infarction Using a Novel Glycogen-Functionalized Nanoprobe.

Analytical chemistry
Cerebral infarction (CI) is a leading cause of disability and mortality, with activated plasma monocytes and altered protein glycosylation identified as critical contributors to its pathology. However, the mechanisms linking peripheral monocyte activ...