AIMC Topic: Humans

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An augmented preference-based Bayesian approach for optimizing neuromodulation stimulation parameters using meta learning.

Journal of neural engineering
Electrical neuromodulation is increasingly used in the treatment of neurological disorders; however, the selection of stimulation parameters that provide optimal therapeutic benefits remains a major challenge. Moreover, identifying pathological bioma...

Comparative analysis of retinal and cerebral vascular responses to CO₂ using Doppler optical coherence tomography and transcranial Doppler ultrasound.

Physics in medicine and biology
Access to blood flow data in cerebral and retinal vascular beds is crucial for diagnosing cerebrovascular diseases. This study addresses two technological gaps: (1) simultaneous recording of vascular responses in the brain and eye by integrating tran...

Artificial intelligence for early palliative referral in adult oncology: opportunities, challenges and future directions.

BMJ supportive & palliative care
BACKGROUND: In oncology, early palliative care enhances quality of life and may increase survival; yet, because of resource limitations and overestimation of prognosis, referrals frequently happen late. Due to a shortage of specialised workers, this ...

Monitoring of occupational exposure to hazardous medicinal products in robotic compounding.

European journal of hospital pharmacy : science and practice
OBJECTIVE: This study aims to evaluate the risk of occupational exposure to hazardous medicinal products (HMPs) when utilising robotic compounding systems for the preparation of antineoplastic sterile medications. Specifically, it assesses the levels...

Construction of an intelligent screening model for allergic rhinitis based on routine blood tests.

PloS one
The incidence of allergic rhinitis (AR) has been increasing annually, severely impacting patients' quality of life and increasing socioeconomic burdens. The limitations of current diagnostic methods have made the development of efficient, low-cost ea...

Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network.

PloS one
Oil and gas pipeline security is critical to national infrastructure, yet existing monitoring systems often lack the sensitivity and real-time responsiveness required to detect subtle intrusion events. This study presents a novel multimodal sensing a...

Enhancing mathematical modeling competencies through AI-powered VR.

PloS one
BACKGROUND: Improving students' problem-solving skills is one of the primary objectives of mathematics education. Problem-solving skills are closely related to the mathematical modeling process and the competencies required in this process, which are...

Reliability, validity, and correlates of an AI voice emotion recognition app among nurses.

PloS one
BACKGROUND: Digital tools are increasingly widespread in healthcare, particularly in the fields of emotion recognition and mental health assessment.

Brand public opinion data analysis method based on deep learning.

PloS one
With the rapid development of Internet information technology and digital technology, various network platforms and media are showing a vigorous growth momentum. The powerful power of online public opinion has an immeasurable impact on brand awarenes...

Machine Learning in Microbiome Research and Engineering.

ACS synthetic biology
Microbiomes, complex communities of microorganisms and their genetic material, hold immense potential for addressing global challenges in diverse sectors, including healthcare, agriculture, and bioproduction. Engineering these intricate ecosystems, h...