Artificial Intelligence Medical Compendium

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

Showing 1,601 to 1,610 of 6,954 articles

Comparative assessment of standalone and hybrid deep neural networks for modeling daily pan evaporation in a semi-arid environment.

Scientific reports
Evaporation represents a fundamental hydrological cycle process that demands dependable methods to quantify its fluctuation to ascertain sustainable agriculture, irrigation systems, and overall water resource management. Meteorological variables such... read more 

Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning.

Scientific reports
Amorphous calcium carbonate (ACC) plays an important role in the crystallization pathways of calcite and its polymorphs influencing many natural and anthropogenic processes, such as carbon sequestration. Characterizing the dissolution rate of ACC in ... read more 

Optimizing RetinaNet anchors using differential evolution for improved object detection.

Scientific reports
Object detection is a fundamental task in computer vision. It has two primary types: one-stage detectors known for their high speed and efficiency, and two-stage detectors, which offer higher accuracy but are often slower due to their complex archite... read more 

Effective workflow from multimodal MRI data to model-based prediction.

Scientific reports
Predicting human behavior from neuroimaging data remains a complex challenge in neuroscience. To address this, we propose a systematic and multi-faceted framework that incorporates a model-based workflow using dynamical brain models. This approach ut... read more 

Multistage pig identification using a sequential ear tag detection pipeline.

Scientific reports
Reliable animal identification in livestock husbandry is essential for various applications, including behavioral monitoring, welfare assessment, and the analysis of social structures. Although recent advancements in deep learning models have improve... read more 

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Scientific reports
Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant challenges to recovery and long-term outcomes. ICU-acquired weakness (ICUAW) manifests as severe muscle depletion, correlating with illness severity an... read more 

Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection.

Scientific reports
This study presents a novel hardware and software architecture combining capacitive sensors, quantum-inspired algorithms, and deep learning applied to the detection of Essential Tremor. At the core of this architecture are graphene-printed capacitive... read more 

Algorithm-based intraoperative diagnosis of liver tumors using infrared spectroscopy.

Scientific reports
Liver cancer, including hepatocellular carcinoma (HCC), cholangiocellular carcinoma (CCC), and metastases, presents diagnostic challenges during surgery due to its infiltrative nature. Accurate intraoperative classification and margin assessment are ... read more 

Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt.

Scientific reports
Air temperature plays a critical role in estimating agricultural water requirements, hydrological processes, and the climate change impacts. This study aims to identify the most accurate forecasting model for daily minimum (T) and maximum (T) tempera... read more 

Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables.

Scientific reports
Estimating energy expenditure (EE) in real-world settings is crucial for studying human behavior and energy balance. Despite advances in wrist-worn inertial measurement unitsĀ (IMU), actigraphy remains the most accepted measure for estimating EE, desp... read more