Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Early diagnosis of oral squamous cell carcinoma (OSCC) remains challenging, with survival largely stage-dependent at presentation. Artificial intelligence (AI) promises to enhance detection and clinical decision-making across clinical photographs, radiology, optical imaging, and digital pathology. METHODS: This narrative review synthesizes peer-reviewed PubMed-indexed English-language ...
Prostate cancer screening has entered a new era with the integration of MR imaging and artificial intelligence (AI) into diagnostic workflows. This paradigm shift allows for the more accurate identification of clinically significant prostate cancer while reducing the overdiagnosis of low-grade disease. AI-driven image reconstruction and lesion detection platforms are improving diagnostic accuracy ...
Computer informatics is integral to infection control, a role that will grow as surveillance and reporting become increasingly automated. Surveillance...
Machine learning and deep learning tools have been proposed to improve survival prediction in acute myeloid leukemia (AML), but comparative benchmarks...
Artificial intelligence (AI) tools can improve breast screening performance but different screening sites have varying needs. Here the GEMINI prospect...
Artificial intelligence (AI) promises to enhance breast cancer screening. Here we evaluated Google's mammography AI system (version 1.2) across two ph...
OBJECTIVE: Maxillary canine impaction affects approximately 1-3% of the population and presents diagnostic, prognostic, and therapeutic challenges. Th...
Civilian gunshot wounds to the head (GSWH) carry high mortality yet lack standardized, imaging-based triage tools. Because initial noncontrast head co...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent and often underdiagnosed until advanced fibrosis, lea...
To present and critically evaluate current contactless monitoring modalities - infrared thermography (IRT), photoplethysmography imaging (PPGI), balli...
BACKGROUND: While artificial intelligence (AI) is advancing rapidly across cardiovascular medicine, its translation into cardiac surgery remains limit...
BACKGROUND: Telepathology has emerged as a transformative digital health solution to address the global shortage of pathologists and the unequal distr...
BACKGROUND: Digital biomarkers are gaining interest as proxy markers for mental health, as they enable passive and continuous data collection. However...
Cardiovascular disease (CVD) remains the leading cause of death among women globally, with significant mortality and poorer outcomes compared with men...
BACKGROUND AND AIMS: Women are underdiagnosed and undertreated for cardiovascular disease (CVD). Automatic quantification of breast arterial calcifica...
SIGNIFICANCE: This systematic review comprehensively synthesises the progress of artificial intelligence in the grading diagnosis of diabetes-related ...
Thirty percent of interval breast cancers, diagnosed between routine screening mammograms, have a poorer prognosis than screen-detected cancers. Deep ...
OBJECTIVE: Artificial intelligence (AI) and robotics are transforming neurosurgical care; however, the application of these technologies in low- and m...
OBJECTIVE: Artificial intelligence tools show promise in fracture detection but may be impaired by hidden stratification. We aim to evaluate the diagn...
OBJECTIVES: This study aimed to develop and preliminarily validate a multimodal deep learning model based on two-dimensional maxillofacial imaging for...