Latest AI and machine learning research in clinical trials for healthcare professionals.
The study assessed the ecotoxicity and bioavailability of potential metals (PMs) from tannery waste ...
Large randomized trials in sepsis have generally failed to find effective novel treatments. This is ...
Probabilistic hesitant fuzzy sets (PHFSs) are superior to hesitant fuzzy sets (HFSs) in avoiding the...
INTRODUCTION: The identification of a new adverse event (AE) caused by a drug product is one of the ...
The intricate nature of the blood-brain barrier (BBB) poses a significant challenge in predicting dr...
Monitoring drug efficacy is significant in the current concept of companion diagnostics in metastati...
Machine teaching, a machine learning subfield, may allow for rapid development of artificial intelli...
The last-minute cancellation of surgeries profoundly affects patients and their families. This resea...
Bone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct cli...
The recent scientific literature abounds in proposals of seizure forecasting methods that exploit ma...
The early identification of vulnerable patients has the potential to improve outcomes but poses a su...
Clinical trials evaluate the safety and efficacy of treatments for specific diseases. Ensuring these...
Intensive Care Units (ICUs) have undergone enhancements in patient safety, and artificial intelligen...
BACKGROUND: Application of artificial intelligence (AI) in general surgery is evolving. Real-world i...
The Omicron SARS-CoV-2 variant continues to strain healthcare systems. Developing tools that facilit...
This paper discusses the impact of artificial intelligence (AI) on occupational health and safety. A...
PURPOSE: As online health information-seeking surges, concerns mount over the quality and safety of ...
INTRODUCTION: Heart failure (HF) is a major global public health concern. The application of machine...
BACKGROUND: Asking questions is common in conversations, and while asking questions, we need to list...
OBJECTIVE: Tuberous sclerosis complex (TSC) results from overactivity of the mechanistic target of r...
In this work, we focus on obtaining insights of the performances of some well-known machine learning...