Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 29,391 to 29,400 of 219,931 articles

Target identification and assessment in the era of AI.

Nature reviews. Drug discovery
Drug discovery and development is time-intensive, expensive and laden with risk. Identifying the right drug targets is crucial for increasing the probability of success, but traditional target identification and validation often take years, and a tar... read more 

Improving wildlife track classification through human-in-the-loop method and explainable AI.

Scientific reports
In this study, we present the integration of tracker expertise with artificial intelligence (AI) for wildlife species classification and its application to human-in-the-loop with an investigation in explainable AI. We collected images of wildlife tra... read more 

Design of a soft robotic endoscope with enhanced bending and AI-based prediction.

Scientific reports
Minimally invasive surgery (MIS) increasingly benefits from soft robotic platforms that offer enhanced compliance and safer human-robot interaction. However, one of the most important challenges of design is still to achieve larger bending at low act... read more 

Low-latency HRV analysis from ultra-short ECG windows using a modular deep-learning framework.

Scientific reports
We present a universal modular deep-learning framework and demonstrate its application to low-latency, streaming-compatible heart rate variability (HRV) analysis using RMSSD as an exemplar metric. A convolutional autoencoder is first pretrained and t... read more 

Intelligent earthquake prediction using animal vocal behavior analysis based on machine learning and deep learning approaches.

Scientific reports
Earthquakes are natural calamities that are destructive and result in the loss of lives and economic losses globally. It is vital to identify earthquakes at an early stage to reduce the damage caused to the environment and infrastructure. But, tradit... read more 

Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods.

Scientific reports
Quantifying the distribution of Spanish moss (Tillandsia usneoides L.) is challenging because it grows suspended from high tree branches, limiting manual sampling. Terrestrial laser scanning (TLS) provides a non-destructive means of capturing vegetat... read more 

Detection of calcified plaques: comparison between coronary CT angiography and thin-slice non-contrast CT with deep learning-aided image registration.

European radiology
OBJECTIVES: To investigate whether coronary CT angiography (CCTA) misses calcified plaques detected by thin-slice non-contrast CT (NCCT). MATERIALS AND METHODS: This study included patients from two sites in the DISCHARGE trial for whom both 0.5 mm t... read more 

Reporting efficiency in diagnostic imaging: Can plug-and-play general-purpose large language models outperform conventional speech recognition?

European radiology
OBJECTIVES: To compare conventional speech recognition (CSR) and a general-purpose large language model (LLM) in radiology reports, focusing on generation times and errors. MATERIALS AND METHODS: In this prospective, multicenter study, five radiologi... read more