Latest AI and machine learning research in surveillance for healthcare professionals.
RATIONALE AND OBJECTIVES: To map artificial intelligence (AI) and radiomics applications in computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography/CTÂ (FDG-PET/CT) for oropharyngeal squamous cell carcinoma (OPSCC) in the context of human papillomavirus (HPV) status and treatment deintensification, evaluate reporting quality using TRIPOD+AI (T...
The relationship between diabetes mellitus and prostate cancer (PC) represents one of the most intriguing paradoxes in cancer epidemiology, with diabetic individuals exhibiting a reduced incidence of PC yet poorer prognosis following diagnosis. This apparent contradiction underscores the need for an integrated understanding of how systemic metabolic dysfunction influences prostate carcinogenesis a...
Perfluorooctane sulfonate (PFOS), a persistent environmental pollutant, has been implicated in metabolic dysfunction-associated steatotic liver diseas...
New Delhi metallo-β-lactamase-1 (NDM-1), which has emerged globally, exhibits resistance to almost all β-lactam antibiotics, including carbapenems, po...
BACKGROUND: The Neurocore-SENSED framework, derived from a three-round modified Delphi process involving 77 international spine surgeons, provides a s...
Clinical prediction scores have been central to thrombosis and hemostasis practice for decades, providing transparent, interpretable, and validated ap...
Alveolar ridge preservation (ARP) after tooth extraction depends on accurate three-dimensional bone assessment to optimize implant placement and prost...
Antimicrobial resistance (AMR) is a growing global health threat, yet the extent to which environmental resistomes reflect human disease burden remain...
RATIONALE AND OBJECTIVES: Incomplete occlusion after endovascular treatment (EVT) of intracranial aneurysms (IAs) increases the risks of re-rupture an...
BACKGROUND: Despite advances in epilepsy treatment options, selecting the appropriate therapy for an individual with epilepsy is a process of trial an...
Medical image classification has advanced substantially with convolutional neural networks (CNNs), Vision Transformers (ViTs), and hybrid CNN-ViT arch...
Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role in reshaping the clinical management of neurodege...
Eichhornia crassipes (water hyacinth) is among the world's most aggressive aquatic invasive plants, with severe ecological and socioeconomic impacts o...
Prostate MRI has become integral to prostate cancer diagnosis and management, extending beyond prebiopsy triage to biopsy guidance, local staging, act...
OBJECTIVE: We set out to examine how completely artificial intelligence (AI)-based orthopedic studies report their methods. METHODS: A PubMed search c...
Developmental and reproductive toxicity testing (DART) safety tests are expensive and time-consuming. The future of DART testing is trending toward in...
BACKGROUND: Artificial intelligence is increasingly applied to rehabilitation; however, persisting gaps in research, such as methodological heterogene...
Background Chest CT is a primary method for identifying pulmonary nodules, yet interpreting scans remains time-intensive and demanding. Currently, art...
BACKGROUND: Popular discourse often frames prescription stimulants Ritalin and Adderall as drugs for teens and emerging adults with greater financial ...
Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healthcare expenditure worldwide. The global burden of ...