AIMC Topic: Humans

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Electrical grid-independent machine learning-assisted wearable gait analysis device with triboelectric-electromagnetic hybrid energy harvester.

Biosensors & bioelectronics
In this study, an Electrical grid-independent Machine learning-assisted Wearable device for Gait analysis (EMWG) with a ground reaction force sensor is presented. For gait analysis, a multi-layer perceptron is identified as the optimal model among va...

MANet: multi-attention network for polyp segmentation.

Medical engineering & physics
Currently, colonoscopy stands as the most efficient approach for detecting colorectal polyps. In clinical diagnosis, colorectal cancer is closely related to colorectal polyps. Therefore, precise segmentation of polyps holds paramount importance for t...

The Potential and Pitfalls of ChatGPT in Toxicological Emergencies.

The Journal of emergency medicine
BACKGROUND: Poisoning cases involve a wide variety of toxic agents and remain a significant concern for emergency departments. Rapid and accurate intervention is crucial in these cases; however, emergency physicians often face challenges in accessing...

The Role of Artificial Intelligence in Surgery: Predictive Analytics, Intraoperative Assistance, and Education.

Anesthesiology clinics
Artificial intelligence (Al) is transforming surgical care by enhancing risk prediction, preoperative planning, and surgical education. Unlike traditional statistical tools, Al-especially machine learning-can process complex, nonlinear clinical data ...

Artificial Intelligence in Medical Education.

Anesthesiology clinics
Artificial intelligence (AI) provides tremendous opportunities for growth in medical education. With advances in technology, AI systems can now augment a variety of workflows critical to education. This article reviews the scope and some key use case...

The Role of Artificial Intelligence in Preoperative Assessment, Surgical Risk Stratification, and Predictive Analytics in Anesthesiology and Critical Care.

Anesthesiology clinics
Anesthesiology and critical care medicine contain a vast repository of patient data that can be analyzed and decoded by artificial intelligence applications. Although there has been a rapid growth in the development of predictive analytics to improve...

Adaptive batch-fusion self-supervised learning for ultrasound image pretraining.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Medical self-supervised learning eliminates the reliance on labels, making feature extraction simple and efficient. The intricate design of pretext tasks in single-modal self-supervised analysis presents challenges, however, compounded by an excessiv...

A comprehensive review of AI-Based detection of Arrhythmia using Electrocardiogram (ECG).

Computers in biology and medicine
The success of AI-assisted decision-making systems over traditional methods has driven extensive research across various real-world applications. In the past decade, the application of AI systems for analysing physiological signals, particularly elec...

Structure, sensing and control of pneumatic upper limb rehabilitation system: Review and prospect.

Computers in biology and medicine
With the development of society, the service level of rehabilitation institutions needs to be improved. Pneumatic drive technology has attracted widespread attention due to its high safety and easy control. As a new type of driving element, pneumatic...