Clinical Trials

Deep Learning Models for Shelf Life Prediction and Regulation of Various Foods: A Systematic Review.

Accurate prediction of food shelf life is critical for ensuring food safety, reducing waste, and delivering reliable products to consumers. Deep learning, as an advanced artificial intelligence (AI) technology, provides transformative solutions for shelf life prediction. This paper systematically reviews research advances in deep learning applications for food shelf life prediction and regulation,...

Artificial intelligence robots for mental health applications: a scoping review.

BACKGROUND: The contradiction between the surging demand for mental health services and the shortage of professional resources is becoming increasingly prominent. Artificial intelligence robots are a promising tool for digital mental health interventions, offering unique application potential in this field. OBJECTIVE: The purpose of this review is to systematically analyze the characteristics and ...

Fetal and neonatal alloimmune thrombocytopenia (FNAIT): From reactive transfusion to proactive prevention.

Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, intracranial hemorrhage, and long-term neurologica...

Artificial Intelligence in Surgical Feedback: A Systematic Scoping Review.

OBJECTIVE: Artificial intelligence (AI) is poised to transform surgical education, particularly in providing objective, scalable feedback. This study ...

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning.

Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary ...

Data or Deception: Imposter Participants in Online Qualitative Research.

Online recruitment and data collection in qualitative research grew significantly during the COVID-19 pandemic, revealing a host of benefits including...

Virtual reality and augmented reality technology for safety training in high-risk industries: A literature review on applications, perspectives and challenges.

BackgroundHigh-risk industries such as construction, mining, and oil and gas consistently face significant safety challenges due to inherently hazardo...

Re-imagining discharge summary training through artificial intelligence.

What is the educational challenge? Discharge summary (DS) writing is a core competency for junior physicians, yet persistent deficiencies in the quali...

Multi-dimensional dynamic monitoring of gut microbiota-emotion axis and precision exercise intervention in compulsory drug rehabilitation: A 24-week randomized controlled trial.

BACKGROUND/OBJECTIVES: Substance use disorders (SUDs) present a global health challenge with high relapse rates. Emerging evidence implicates gut micr...

Materiobiology-guided regulation of mesenchymal stromal cell fate for aging-related diseases: From basic parameter design to clinical application.

Mesenchymal stromal cells (MSCs) possess potent immunomodulatory, pro-angiogenic, and regenerative capacities, offering broad clinical promise in rege...

A feasibility open-label clinical trial utilizing second-generation artificial intelligence based on the constrained-disorder principle in patients with Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder treated with Levodopa, but long-term use often causes motor complications like "w...

Enhancing the efficacy of Salvia miltiorrhiza and Ligusticum chuanxiong in the treatment of coronary heart disease: The value of poorly soluble components and nanocrystal self-stabilized solid emulsions.

BACKGROUND: The Salvia miltiorrhiza-Ligusticum chuanxiong herb pair is a classic combination in traditional Chinese medicine (TCM) formulation for cor...

Protocol for a pragmatic trial comparing navigator and automated virtual interventions for guaranteeing adherence to fecal immunochemical testing (NAVIGATE-FIT).

BACKGROUND: Fecal immunochemical testing (FIT) - a non-invasive colorectal cancer (CRC) screening method offers an opportunity to bridge CRC screening...

Normalized QRS Duration by LV Dimension: Eliminating Sex-Specific Differences and Predicting Cardiac Resynchronization Therapy Outcomes.

BACKGROUND: Increasing evidence shows sex-specific differences in the efficacy of cardiac resynchronization therapy (CRT). Without a clear cardiac rat...

CXCL9 as a key feature for deep learning-based immune subtyping and prediction of immune checkpoint blockade response in triple-negative breast cancer.

BACKGROUND: Immune checkpoint blockade (ICB) therapy has provided a promising treatment option for patients with triple-negative breast cancer (TNBC)....

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.

PURPOSE: To develop the REporting checklist for FoundatIon and large laNguagE models (REFINE), an international reporting guideline for transparent an...

Effects of Combining Modified Response Elaboration Training, Semantic Feature Analysis, and Arm Ability Training on Cognitive, Language, and Motor Recovery in Poststroke Broca's Aphasia: A Randomized Controlled Trial.

PURPOSE: Stroke survivors often face problems in language, motor, and cognitive skills because the neural networks for these functions overlap. Conseq...

Impact of GPT-4-Generated Discharge Letters on Patients' Medical Comprehension: Prospective Crossover Study.

BACKGROUND: Patients often struggle to understand standard hospital discharge letters, increasing the risk of medication errors and misunderstandings....

Effects of a Semantically Irrelevant Virtual Reality Experience on Memory and Emotion After Watching a Traumatic Event: Randomized Controlled Experimental Study.

BACKGROUND: First responders, such as firefighters, experience significant mental health issues due to the high-stress nature of their work. Existing ...

Clinical utility assessment framework for machine learning-based fetal health classification in cardiotocography: an observational study.

OBJECTIVE: To evaluate the clinical utility and implementation considerations of artificial intelligence (AI)-based fetal health classification system...