Latest AI and machine learning research in surveillance for healthcare professionals.
The increasing complexity of healthcare systems management requires the development of advanced methodologies to support efficient resource allocation, service delivery, and strategic planning. Artificial intelligence has emerged as an important tool in this domain, offering capabilities to model demand, predict capacity requirements, and inform operational decisions through data-driven insights. ...
BACKGROUND: Embodied intelligence-artificial intelligence instantiated in physical or virtual bodies that can perceive, communicate, and interact with users and their environments-has been increasingly applied in health care. However, the evidence base remains fragmented because of inconsistent terminology, diverse embodiment forms, and limited synthesis of application domains, target populations,...
BACKGROUND: Telehealth expansion and artificial intelligence (AI) adoption are often described as parallel dimensions of health system digital transfo...
BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyroid carcinoma, colorectal cancer, non-small cell lu...
OBJECTIVE: Though subgroup performance reporting helps ensure the safety of artificial intelligence (AI) products, the extent of this reporting remain...
BACKGROUND: Deep learning for mammographic image classification yields impressive performance metrics, but inconsistent evaluation methodologies-speci...
E-cigarette narratives on social media are rapidly evolving alongside the rise of short-form video and advances in artificial intelligence (AI) that e...
BACKGROUND: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and minimum dietary diversity remain below the recomm...
PurposeArtificial intelligence (AI) shows considerable potential for sports injury prediction, yet a comprehensive methodological review of its empiri...
Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their multisystem involvement, variable penetrance, and h...
Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, sys...
OBJECTIVES: Driving under the influence of cannabis is a growing public health concern in the United States. Existing surveillance systems often lack ...
Fungal infections are an increasing global public health concern yet remain underprioritized because of persistent challenges in diagnosis, treatment,...
PURPOSE: To synthesize and critically appraise evidence from systematic reviews and meta-analyses on pterygium, identifying domains with robust suppor...
Sudden Cardiac Death (SCD) is a fatal event occurring within one hour of a witnessed or 24 hours of an unwitnessed Sudden Cardiac Arrest (SCA), being ...
BACKGROUND: Active surveillance (AS) is the first-line approach for desmoid-type fibromatosis (DTF). However, 30 % of patients require active treatmen...
PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerged as a promising tool for processing the vast amo...
Artificial intelligence (AI) is reshaping dermatology through diagnostic image analysis, clinical documentation, and patient communication tools. Howe...
AIM: To evaluate the performance of machine learning models in predicting liver metastasis in colorectal cancer (CRC) patients using the SEER database...
BACKGROUND: Large language models (LLMs) show potential to support antimicrobial prescribing but require simulation-based, institution-specific safety...