Public Health & Policy

Clinical Trials

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

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A Literature Review on Safety Perception and Trust during Human-Robot Interaction with Autonomous Mobile Robots That Apply to Industrial Environments.

Occupational ApplicationsAutonomous mobile robots are used in manufacturing and warehousing industri...

Cuban policosanol improves high-density lipoprotein cholesterol efflux capacity in healthy Japanese subjects.

Policosanol supplementation has been reported to increase high-density lipoprotein (HDL)-cholesterol...

Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review.

BACKGROUND: Skin cancer is one of the most common forms worldwide, with a significant increase in in...

AI and professional liability assessment in healthcare. A revolution in legal medicine?

The adoption of advanced artificial intelligence (AI) systems in healthcare is transforming the heal...

Older versus younger patients in robot-assisted radical cystectomy with intracorporeal ileal conduit comparing safety and clinical outcomes.

OBJECTIVE: To evaluate the safety and efficacy of robot-assisted radical cystectomy using an intraco...

Comparative analysis of radiomics and deep-learning algorithms for survival prediction in hepatocellular carcinoma.

To examine the comparative robustness of computed tomography (CT)-based conventional radiomics and d...

Evaluation of 6 years of eHealth data in the alcohol use disorder field indicates improved efficacy of care.

BACKGROUND: Predictive eHealth tools will change the field of medicine, however long-term data is sc...

Enhancing voriconazole therapy in liver dysfunction: exploring administration schemes and predictive factors for trough concentration and efficacy.

The application of voriconazole in patients with liver dysfunction lacks pharmacokinetic data. In p...

Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types.

Construction workers face a high risk of various occupational accidents, many of which can result in...

Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning.

Pathology diagnosis based on EEG signals and decoding brain activity holds immense importance in und...

Effect of Feedback Modality on Simulated Surgical Skills Learning Using Automated Educational Systems- A Four-Arm Randomized Control Trial.

OBJECTIVE: To explore optimal feedback methodologies to enhance trainee skill acquisition in simulat...

Pharmacokinetics and coagulation biomarkers in children and adults with hemophilia A receiving emicizumab prophylaxis every 1, 2, or 4 weeks.

BACKGROUND: Emicizumab is a bispecific antibody that bridges activated factor (F)IX and FX, mimickin...

Predicting Phase 1 Lymphoma Clinical Trial Durations Using Machine Learning: An In-Depth Analysis and Broad Application Insights.

Lymphoma diagnoses in the US are substantial, with an estimated 89,380 new cases in 2023, necessitat...

Safety and Efficacy of Tranexamic Acid in Spinal Surgery: A Systematic Review and Meta-Analysis.

BACKGROUND: Tranexamic acid (TXA) has gained popularity in spinal surgery because of its potential t...

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