Discussion of Artificial Intelligence Innovations and Challenges for Paramedicine DOI Creative Commons

Richard Dickson Amoako

IntechOpen eBooks, Год журнала: 2024, Номер unknown

Опубликована: Окт. 31, 2024

This chapter delves into how artificial intelligence (AI) is set to transform paramedicine practices. It explores emerging AI technologies—like wearable devices, autonomous drones, and advanced robotics—are not just tools of the future but are beginning change paramedics make decisions, respond emergencies, ultimately improve patient care. The also discusses ethical practical challenges bringing this critical field, such as ensuring data privacy, avoiding biases in algorithms, balancing technology with essential human touch By highlighting both exciting possibilities real-world challenges, offers a thoughtful guide for paramedics, healthcare leaders, policymakers on responsibly effectively integrate prehospital care systems. successful integration requires addressing that augments rather than replaces vital element emergency medical services.

Язык: Английский

Flexible Magnetoelectric Nanomaterials for Healthcare Devices: A Minireview DOI

Wenxuan Liang,

Yuhan Li,

Yuanchun Pan

и другие.

ACS Applied Nano Materials, Год журнала: 2024, Номер unknown

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

0

Research on a High-Precision Interventional Pressure Measurement Catheter with a Compact Structure for In Vivo Pressure Monitoring DOI Creative Commons
Bo Wang,

Senran Jiang,

Yao Cui

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(19), С. 8682 - 8682

Опубликована: Сен. 26, 2024

This paper proposes a high-precision interventional pressure measurement catheter with compact structure for in vivo monitoring. uses minimally invasive testing method, and the proposed reduces loss caused by fluid movement inside catheter, ensuring accuracy dynamically varying measurements. The conducts theoretical analysis of transmission process fabricates prototype, establishes both dynamic static systems. Through experimental research on effects catheter’s dimensions measurements, it demonstrates that can effectively enhance precision offers high precision, small size, simple manufacturing processes. It holds promising applications fields such as in-body microfluidic system

Язык: Английский

Процитировано

0

An integrated sensor chip of resonant cavity light emitter and photon detector for wearable optical medicine DOI Creative Commons
Jian-Jun Li,

Congle Fu,

Y. Cui

и другие.

Optics Express, Год журнала: 2024, Номер 32(23), С. 41961 - 41961

Опубликована: Окт. 16, 2024

This work presents an integrated chip of a resonant cavity light emitter and photon detector (RCLEPD) to address the requirements wearable optical medical devices for compact size, high efficiency, interference resistance sensors. The radiation pattern extraction efficiency emitting diode (RCLED) as well absorption spectrum enhanced (RCEPD) are theoretically simulated. Additionally, wavelength selectivity RCEPD is analyzed. Material epitaxial growth RCLEPD was performed using metal-organic chemical vapor deposition (MOCVD), sensing with area 2 × mm fabricated. Experimental results demonstrate that RCLED achieves maximum external quantum 10.206%, consistent simulation results, while maintaining peak at 677.5 nm within current range 0-20 mA. Furthermore, exhibits response 678 nm, matching RCLED. Utilizing sensor, photoplethysmography (PPG) signals collected from human wrist under different driving currents resulting in average period 977 ms which aligns pulse frequency 61 beats/min. With further processing techniques applied PPG signals, expected be used sensor blood pressure glucose monitoring devices.

Язык: Английский

Процитировано

0

Self-Powered Microfluidic-Based Sensor for Noninvasive Sweat Analysis DOI

Kiran Peringeth,

Anindita Ganguly, Arnab Pal

и другие.

Sensors and Actuators B Chemical, Год журнала: 2024, Номер unknown, С. 136859 - 136859

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0

Discussion of Artificial Intelligence Innovations and Challenges for Paramedicine DOI Creative Commons

Richard Dickson Amoako

IntechOpen eBooks, Год журнала: 2024, Номер unknown

Опубликована: Окт. 31, 2024

This chapter delves into how artificial intelligence (AI) is set to transform paramedicine practices. It explores emerging AI technologies—like wearable devices, autonomous drones, and advanced robotics—are not just tools of the future but are beginning change paramedics make decisions, respond emergencies, ultimately improve patient care. The also discusses ethical practical challenges bringing this critical field, such as ensuring data privacy, avoiding biases in algorithms, balancing technology with essential human touch By highlighting both exciting possibilities real-world challenges, offers a thoughtful guide for paramedics, healthcare leaders, policymakers on responsibly effectively integrate prehospital care systems. successful integration requires addressing that augments rather than replaces vital element emergency medical services.

Язык: Английский

Процитировано

0