Latest AI and machine learning research in clinical trials for healthcare professionals.
PURPOSE: Personalized immunotherapy strategies are urgently needed for patients with locoregionally advanced nasopharyngeal carcinoma (NPC). We aim to identify biomarkers predictive of immunotherapy benefits, using data from the phase III CONTINUUM (ClinicalTrials.gov identifier: NCT03700476) and DIPPER (ClinicalTrials.gov identifier: NCT03427827) randomized clinical trials. PATIENTS AND METHODS: ...
Therapeutic messenger RNAs (mRNAs) offer a versatile platform for treating a wide range of diseases, but their clinical efficacy hinges on optimizing both stability and translational efficiency. This review summarizes recent advances in strategies to enhance mRNA performance, with a focus on human therapeutics. We discuss secondary structure optimization, including artificial intelligence-guided d...
To evaluate the feasibility and application value of a transfer learning-based artificial intelligence (AI) system for wound recognition and suture po...
BACKGROUND: Laparoscopic Cholecystectomy (LC) is the standard surgical treatment for symptomatic benign gallbladder diseases. Bile Duct Injury (BDI) i...
Preimplantation genetic testing (PGT) is a critical tool in reproductive medicine for selecting genetically healthy embryos, thereby reducing the risk...
Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in w...
Drug research and development continuously encounters prolonged timelines, escalating costs, and high attrition rates. In this narrative review, we in...
BACKGROUND: Nerve-sparing robot-assisted radical prostatectomy (NS-RARP) requires precise prostatic capsule identification to balance oncological cont...
Artificial intelligence (AI) is increasingly used in oral and maxillofacial surgery (OMS) for imaging, planning, and robotic/navigation support, yet e...
BACKGROUND: The incidence of mental health concerns is growing, and demand for support is exceeding service capacity. Digital tools can provide additi...
PURPOSE: The aim of this study was to develop and compare two intelligent model for stratifying the severity of acute radiation syndrome (ARS) in huma...
BACKGROUND: A cardiopulmonary exercise test (CPET) provides the estimated lactate threshold (θLT) and respiratory compensation point (RCP) through vis...
This study aims to elucidate the mechanisms through which service robot anthropomorphism and employee self-efficacy influence human-robot collaborativ...
Digital technologies have the potential to transform early childhood development (ECD) interventions by delivering personalized support at scale. We c...
Zeolite crystallization is a metastable process under harsh conditions with poorly understood mechanisms, making the directed synthesis of specific fr...
The development of high-performance gas sensors is crucial for ensuring safety and efficiency in the emerging hydrogen economy, particularly for detec...
Digital breast tomosynthesis (DBT) increases sensitivity and specificity compared to digital mammography (DM) in the early detection of breast cancer....
Artificial intelligence triage in general practice is developing rapidly within the primary care digital transformation, promising efficiency gains an...
BACKGROUND: This study compared changes in percentage atheroma volume (PAV) using an end-diastolic (ED) intravascular ultrasound (IVUS) segmentation a...
BACKGROUND AND PURPOSE: Net water uptake (NWU) in the infarct core of patients with ischemic stroke has been correlated with clinical outcome and lesi...