Abdulkreem Al-Juhani
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View article: Machine Learning Applications Beyond Outcome Prediction in Plastic and Reconstructive Surgery: A Systematic Review of Diagnostic, Intraoperative, and Workflow Optimization Models
Machine Learning Applications Beyond Outcome Prediction in Plastic and Reconstructive Surgery: A Systematic Review of Diagnostic, Intraoperative, and Workflow Optimization Models Open
Plastic and reconstructive surgery increasingly depends on data-driven instruments to improve clinical decision-making. Machine learning (ML), through its capacity to analyze intricate, high-dimensional data, presents novel prospects for f…
View article: Nanotechnology-Enhanced Materials and Smart Implants in General Surgery: A Systematic Review of Human Clinical Outcomes
Nanotechnology-Enhanced Materials and Smart Implants in General Surgery: A Systematic Review of Human Clinical Outcomes Open
Nanotechnology-enhanced materials and smart implants are emerging technologies that have shown promise in addressing various challenges in general surgery, including infection management, oncologic staging, and complication monitoring. In …
View article: Advances in Data-Driven Early Warning Systems for Sepsis Recognition and Intervention in Emergency Care: A Systematic Review of Diagnostic Performance and Clinical Outcomes
Advances in Data-Driven Early Warning Systems for Sepsis Recognition and Intervention in Emergency Care: A Systematic Review of Diagnostic Performance and Clinical Outcomes Open
Sepsis is a life-threatening condition, and early recognition in the emergency department (ED) is crucial for reducing mortality. However, traditional ED sepsis screening tools (e.g., Systemic Inflammatory Response Syndrome (SIRS) and quic…
View article: Machine Learning Models for Predicting Mental Health Crises in Adolescents Using Electronic Health Records: A Systematic Review
Machine Learning Models for Predicting Mental Health Crises in Adolescents Using Electronic Health Records: A Systematic Review Open
The incidence of suicide, self-harm, and mental crises among teenagers is rising, presenting significant global public health issues. Conventional clinical risk evaluations have inadequate predictive accuracy, often overlooking high-risk a…
View article: Machine Learning in Predicting Wound Healing and Limb Salvage Outcomes Following Lower Limb Revascularization: A Systematic Review of Prognostic Accuracy
Machine Learning in Predicting Wound Healing and Limb Salvage Outcomes Following Lower Limb Revascularization: A Systematic Review of Prognostic Accuracy Open
Chronic limb-threatening ischemia (CLTI) and peripheral arterial disease (PAD) sometimes lead to non-healing lesions and amputations, despite revascularization efforts. Current clinical instruments for prognostication exhibit insufficient …
View article: Renal Preservation During Open Abdominal Aortic Aneurysm (AAA) Repair in a Patient With a Pelvic Kidney: A Case Report and Surgical Insight
Renal Preservation During Open Abdominal Aortic Aneurysm (AAA) Repair in a Patient With a Pelvic Kidney: A Case Report and Surgical Insight Open
Repair of an abdominal aortic aneurysm (AAA) becomes significantly more complex when complicated by the presence of atypical renal vasculature and an ectopic kidney, as these anatomic variations pose distinct surgical challenges. In these …
View article: Neuroimaging and Brain-Based Markers Identifying Neurobiological Markers Associated With Criminal Behaviour, Personality Disorders, and Mental Health: A Narrative Review
Neuroimaging and Brain-Based Markers Identifying Neurobiological Markers Associated With Criminal Behaviour, Personality Disorders, and Mental Health: A Narrative Review Open
We begin the review by pointing to the common stigma associated with mental health issues, which often derives from a lack of understanding or incomplete knowledge. Neurobiological research provides us with a new lens to help challenge and…