Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains.

Traditional statistical models for debris-flow susceptibility often overlook critical triggering mec...

Development of a clinical decision support system for breast cancer detection using ensemble deep learning.

Advancements in diagnostic technology are required to improve patient outcomes and facilitate early ...

Clinical Translation of Integrated PET-MRI for Neurodegenerative Disease.

The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...

Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials.

The development of new approach methodologies (NAMs) to replace current testing for the safety asse...

Prognostic and Predictive Value of Machine Learning-Based Biomarker and Pathomics Signatures in Patients With Prostate Cancer.

Recurrence and the potential development of castration resistance after radical prostatectomy (RP) a...

Why Clinical Trials Will Fail to Ensure Safe AI.

Recent reports have raised concerns about emergent behaviors in next-generation artificial intellige...

Evaluation of Artificial Intelligence Chatbots for Facial Injection Planning: Comparative Performance and Safety Limitations.

BACKGROUND: To evaluate the performance of artificial intelligence (AI)-powered chatbots in generati...

Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations.

BACKGROUND: The efficacy of medical cannabis in alleviating pain has been demonstrated in clinical t...

Development of a machine learning-based predictive model for venous thromboembolism risk assessment in orthopaedic patients with routine prophylaxis.

Despite the use of conventional preventive measures, the long-term risk of the development of venous...

Rapid Screening of Methicillin-Resistant Using MALDI-TOF MS and Machine Learning: A Randomized, Multicenter Study.

Methicillin-resistant (MRSA) is a major cause of healthcare-associated infections including bactere...

Efficacy of swarm-based neural networks in automated depression detection.

As depression becomes a global pandemic, this research paper presents a comprehensive study for depr...

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

Breast cancer patients exhibit variable responses to neoadjuvant therapy (NAT), necessitating robust...

Comparative effectiveness of anti-seizure medications in emulated trials using medical informatics.

Anti-seizure medications (ASMs) are often prescribed using a trial-and-error approach with a similar...

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