AIMC Topic: Humans

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Characterizing motion prediction in small autonomous swarms.

Applied ergonomics
The use of robotic swarms has become increasingly common in research, industrial, and military domains for tasks such as collective exploration, coordinated movement, and collective localization. Despite the expanded use of robotic swarms, little is ...

Analysis of Complications After Robot-Assisted Radical Cystectomy Between 2002-2021.

Urology
OBJECTIVE: To identify trends in complications following robot-assisted radical cystectomy (RARC) using a multi-institutional database, the International Robotic Cystectomy Consortium (IRCC).

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection.

Critical reviews in food science and nutrition
In considering the need of people all over the world for high-quality food, there has been a recent increase in interest in the role of nondestructive and rapid detection technologies in the food industry. Moreover, the analysis of data acquired by m...

New endoscopic tools in inflammatory bowel disease.

United European gastroenterology journal
Endoscopic remission is now considered the ultimate long-term goal for treating inflammatory bowel disease (IBD). Recent advances in endoscopic techniques have progressively added new tools to the armamentarium of endoscopists for a deeper assessment...

Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence.

Endocrine
BACKGROUND: An unhealthy diet or excessive amount of food intake creates obesity issues in human beings that further may cause several diseases such as Polycystic Ovary Syndrome (PCOS), Cardiovascular disease, Diabetes, Cancers, etc. Obesity is a maj...

Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug-drug interaction prediction.

CPT: pharmacometrics & systems pharmacology
The gold-standard approach for modeling pharmacokinetic mediated drug-drug interactions is the use of physiologically-based pharmacokinetic modeling and population pharmacokinetics. However, these models require extensive amounts of drug-specific dat...

Turnaround time prediction for clinical chemistry samples using machine learning.

Clinical chemistry and laboratory medicine
OBJECTIVES: Turnaround time (TAT) is an essential performance indicator of a medical diagnostic laboratory. Accurate TAT prediction is crucial for taking timely action in case of prolonged TAT and is important for efficient organization of healthcare...

Human-Robot Cooperative Strength Training Based on Robust Admittance Control Strategy.

Sensors (Basel, Switzerland)
A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. Stroke survivors can effectively train muscle strength through leg flexion and extension training. However, available lower limb rehabilitation robots i...

HRpI System Based on Wavenet Controller with Human Cooperative-in-the-Loop for Neurorehabilitation Purposes.

Sensors (Basel, Switzerland)
There exist several methods aimed at human-robot physical interaction (HRpI) to provide physical therapy in patients. The use of haptics has become an option to display forces along a given path so as to it guides the physiotherapist protocol. Critic...