Latest AI and machine learning research in product alert for healthcare professionals.
Artificial intelligence (AI) is increasingly being used to support clinical research, but its value in vaccine clinical trials requires careful evidence-based assessment. Vaccine trials pose distinctive challenges, including high safety expectations in healthy participants, evolving pathogen exposure and baseline immunity, incomplete correlates of protection, applicability of findings to intended-...
Accurate color sensing is essential for applications ranging from materials analysis to autonomous vision, yet compact systems that can classify color directly at the device level without bulky optics or computationally intensive post-processing remain limited. Here, a machine learning-free, self-powered retinomorphic pyro-photodetector is demonstrated for direct electrical wavelength encoding fro...
BACKGROUND: Clinical documentation is central to evaluating medical students' clinical competence. However, traditional teacher feedback is often inef...
BACKGROUND: Shared decision-making (SDM) is a key element of patient-centered care; however, opportunities for structured and scalable SDM training re...
Artificial intelligence (AI) has emerged as a transformative tool for improving the detection, prediction, and prevention of adverse drug reactions (A...
BACKGROUND: Pharmacovigilance aims to protect patient safety by identifying and managing adverse events associated with pharmaceuticals. Determining t...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer scr...
Medication adherence remains a major public health challenge among patients with non-communicable diseases (NCDs) worldwide. Artificial intelligence (...
Rising temperatures and changing weather conditions are accelerating the spread of plant diseases and increasing the threat to global food security. R...
OBJECTIVE: The successful integration of Machine Learning (ML) models into clinical practice remains limited, as they often lack the standardized, qua...
BACKGROUND: Reviewing pathology, imaging, and consultation documents in oncology can be time-consuming, particularly when records originate from exter...
OBJECTIVE: To develop and validate a clinically oriented, diffusion-based framework for orthodontic profile visualization that synthesizes photorealis...
Multimodal Artificial Intelligence (AI) models-integrating diverse data such as imaging and clinical records-are advancing rapidly in healthcare, yet ...
The safety signal assessment process evaluates the potential causal association between a medicinal product and a specific adverse event by integratin...
BACKGROUND: The potential influence of the initial child-dentist interaction on dental anxiety (DA) in preschool children remains insufficiently under...
BACKGROUND: Antibodies against the SARS-CoV-2 spike receptor-binding domain provided effective COVID-19 treatment until resistant variants emerged. GB...
BACKGROUND: Surgical residency training faces mounting pressure from expanding subspecialty knowledge requirements alongside compressed learning oppor...
RATIONALE & OBJECTIVE: Despite advantages in survival and quality of life with kidney transplantation (KT) compared to other treatments for kidney fai...
Bone is the most common site of distant metastasis in breast cancer (BC), and the development of bone metastasis (BM) is associated with reduced survi...
Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result in significant morbidity, most notably with ocula...