Public Health & Policy

Clinical Trials

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

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[Development of an artificial intelligence system to improve cancer clinical trial eligibility screening].

INTRODUCTION: The recruitment step of all clinical trials is time consuming, harsh and generate extr...

Artificial intelligence tools for optimising recruitment and retention in clinical trials: a scoping review protocol.

INTRODUCTION: In recent years, the influence of artificial intelligence technology on clinical trial...

Prediction of cognitive conflict during unexpected robot behavior under different mental workload conditions in a physical human-robot collaboration.

. Brain-computer interface (BCI) technology is poised to play a prominent role in modern work enviro...

Use of artificial intelligence in the detection of the critical view of safety during laparoscopic cholecystectomy.

BACKGROUND: This study aimed to evaluate the use of artificial intelligence (AI) to detect the criti...

Comparison of the S8 navigation system and the TINAVI orthopaedic robot in the treatment of upper cervical instability.

The objective is to compare the clinical efficacy and safety of the S8 navigation system and the Tin...

First prospective clinical assessment of the ILY robotic flexible ureteroscopy platform.

PURPOSE: To present the initial prospective clinical assessment of the ILY robotic ureteroscopy mani...

Application of artificial neural networks to evaluate femur development in the human fetus.

The present article concentrates on an innovative analysis that was performed to assess the developm...

Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review.

Artificial intelligence is transforming healthcare. Artificial intelligence can improve patient care...

Artificial intelligence in academic writing and clinical pharmacy education: consequences and opportunities.

The current academic debate on the use of artificial intelligence (AI) in research and teaching has ...

Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data.

Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which al...

Deep Learning-Based Prognostics and Health Management Model for Pilot-Operated Cryogenic Safety Valves.

This paper highlights the significance of safety and reliability in modern industries, particularly ...

Digital pathology with artificial intelligence analysis provides insight to the efficacy of anti-fibrotic compounds in human 3D MASH model.

Metabolic dysfunction-associated steatohepatitis (MASH) is a severe liver disease characterized by l...

Enhancing site selection strategies in clinical trial recruitment using real-world data modeling.

Slow patient enrollment or failing to enroll the required number of patients is a disruptor of clini...

Roadmap for Clinical Translation of Mobile Microrobotics.

Medical microrobotics is an emerging field to revolutionize clinical applications in diagnostics and...

Comparing robotic and open surgical techniques in gallbladder cancer management: a detailed systematic review and meta-analysis.

This meta-analysis aims to evaluate the safety and oncological outcomes of robotic surgery compared ...

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