Latest AI and machine learning research in health policy for healthcare professionals.
AIM: We investigated associations between consensus molecular subtype (CMS) and colon cancer recurrence, and explored how the inflammatory potential of diet and lifestyle relate to recurrence across CMS subgroups. METHODS: A nested case-control study was implemented in two prospective cohorts of colon cancer patients. Cases were patients with recurrence (n = 167), and controls (n = 668) were match...
AIM: The traditional three-level H&E sectioning protocol for prostate biopsies was developed for ultrasound-guided systematic sampling and predates lesion-targeted biopsy approaches. Multiparametrical MRI (mpMRI) has improved detection of clinically significant prostate carcinoma but has also increased biopsy volume, workload, costs and digital pathology requirements, including whole-slide imaging...
Skin cancer is one of the most prevalent malignancies worldwide, with early detection critical to improving outcomes. However, in low-resource setting...
BACKGROUND: This case describes a substance-induced manic episode with psychotic features in which interaction with an AI (artificial intelligence) ch...
BACKGROUND: Artificial intelligence (AI) has rapidly transformed clinical practice by improving diagnostic accuracy and enhancing decision-making proc...
INTRODUCTION/PURPOSE: Point-of-care ultrasound (PoCUS) has evolved from bulky radiology-based machines to a core bedside tool in critical care. Traini...
BACKGROUND: Suicide remains a major global health concern and disproportionately affects low- and middle-income countries (LMICs), where socio-economi...
Artificial intelligence (AI) is increasingly embedded in healthcare in a variety of ways, ranging from semi-autonomous decision support systems to the...
Computational point-of-care (POC) sensors enable rapid, low-cost, and accessible diagnostics in emergency, remote, and resource-limited areas that lac...
INTRODUCTION: Small renal masses are increasingly detected on imaging, but their accurate classification as benign, indolent, or aggressive remains ch...
BACKGROUND: Early diagnosis of knee osteoarthritis (KOA) is often delayed due to reliance on subjective interpretation of radiographs. Recent advances...
BACKGROUND: Emergency department (ED) visits have risen in the United States, with demand for emergency care exceeding supply. Resultant ED crowding h...
BACKGROUND: The online food environment has transformed how individuals access and engage with food by amplifying food availability and promotions. Ar...
Chronic kidney disease affects 788-844 million adults worldwide and is projected to become the fifth leading cause of death by 2040. Global burden est...
Interpreting radiological images, a primary responsibility of radiologists, is crucial for accurate diagnosis and informed clinical decisions. However...
OBJECTIVE: There is a critical scarcity of domain-specific, clinically grounded Natural Language Processing (NLP) resources for African languages. In ...
Artificial intelligence (AI) has emerged as a powerful tool for fostering positive behavior change and enhancing mental health support. However, the a...
Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologi...
BACKGROUND AND OBJECTIVES: Large Language Models (LLMs) are increasingly used by healthcare professionals and patients for medical information synthes...
BACKGROUND: We assessed AI knowledge, attitudes, and use among medical and dental students in Pakistan, a lower-middle-income country (LMIC), and iden...