Clinical Trials

NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving

Autonomous Vehicles (AV) and Advanced Driver Assistant Systems (ADAS) prioritize safety over comfo...

Certifiably Robust Image Watermark

Generative AI raises many societal concerns such as boosting disinformation and propaganda campaig...

Heterogeneous Effects of Continuous Positive Airway Pressure in Non-Sleepy Obstructive Sleep Apnea on Cardiovascular Disease Outcomes: Machine Learning Analysis of the ISAACC Trial (ECSACT Study).

Randomized controlled trials of continuous positive airway pressure (CPAP) therapy for cardiovascul...

Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812.

Deep learning-based mammographic evaluations could noninvasively assess response to breast cancer ch...

Approaching artificial intelligence to Hospital Pharmacy.

Artificial intelligence (AI) is a broad concept that includes the study of the ability of computers ...

[Translated article] Introducing artificial intelligence to hospital pharmacy departments.

Artificial intelligence is a broad concept that includes the study of the ability of computers to pe...

Epileptic State Prediction using Phase Space Domain and Machine Learning Algorithms.

Epilepsy is a disease of the brain that causes unprovoked or reflex seizures that affects millions o...

Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack

Large language models (LLMs) have been increasingly applied to various domains, which triggers inc...

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models

Powered by remarkable advancements in Large Language Models (LLMs), Multimodal Large Language Mode...

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study

INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-a...

Neural-Net Artificial Pancreas: A Randomized Crossover Trial of a First-in-Class Automated Insulin Delivery Algorithm.

Automated insulin delivery (AID) is now integral to the clinical practice of type 1 diabetes (T1D)....

Efficacy of Daoyin combined with lower limb robot as a comprehensive rehabilitation intervention for stroke patients: a randomized controlled trial.

OBJECTIVE: To assess the effectiveness of a comprehensive rehabilitation approach combining Traditio...

Osteoporotic Precise Screening Using Chest Radiography and Artificial Neural Network: The OPSCAN Randomized Controlled Trial.

Background Diagnosing osteoporosis is challenging due to its often asymptomatic presentation, which ...

Artificial Intelligence: Reflections on Its Use to Promote DEIA Principles for Residency Recruitment.

Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial.

OBJECTIVES: We conducted an implementation planning process during the pilot phase of a pragmatic tr...

Surgical Technique and Perioperative Outcomes Following Single-Port Robotic Adrenalectomy: A Single Institutional Experience.

To describe a single institution's experience with single-port robotic adrenalectomy (SP-RA) and re...

Surgical stress response in robot-assisted versus laparoscopic surgery for colon cancer (SIRIRALS): randomized clinical trial.

BACKGROUND: Evidence for the routine use of robotic technology and its impact on short-term outcomes...

Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals.

The health product circuit corresponds to the chain of steps that a medicine goes through in hospita...

Adaptive selection of the optimal strategy to improve precision and power in randomized trials.

Benkeser et al. demonstrate how adjustment for baseline covariates in randomized trials can meaningf...

Automating the Identification of Safety Events Involving Machine Learning-Enabled Medical Devices.

With growing use of machine learning (ML)-enabled medical devices by clinicians and consumers safety...

Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation.

The aim of this work was to create a gold-standard curated cohort of 10,000+ cases from the Veteran ...