AIMC Topic: Humans

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Deep learning and radiomics of longitudinal CT scans for early prediction of tuberculosis treatment outcomes.

European journal of radiology
BACKGROUND: To predict tuberculosis (TB) treatment outcomes at an early stage, prevent poor outcomes ofdrug-resistant tuberculosis(DR-TB) and interrupt transmission.

The Council of Europe's AI Convention (2023-2024): Promises and pitfalls for health protection.

Health policy (Amsterdam, Netherlands)
The Council of Europe, Europe's most important human rights organization, is developing a legally binding instrument for the development, design, and application of AI systems. This "Convention on Artificial Intelligence, Human Rights, Democracy and ...

Outcomes of salvage robot-assisted radical prostatectomy in patients who had primary focal versus whole-gland ablation: a multicentric study.

Journal of robotic surgery
In the present study, we present comparative outcomes of radical prostatectomy after whole-gland therapy (wg-SRARP) and focal gland therapy (f-SRARP). The study assessed 339 patients who underwent salvage robot-assisted radical prostatectomy (SRARP);...

Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy.

American journal of obstetrics & gynecology MFM
BACKGROUND: Peripartum cardiomyopathy, one of the most fatal conditions during delivery, results in heart failure secondary to left ventricular systolic dysfunction. Left ventricular dysfunction can result in abnormalities in electrocardiography. How...

Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: an initial experience.

BMC medical imaging
A super-resolution deep learning reconstruction (SR-DLR) algorithm trained using data acquired on the ultrahigh spatial resolution computed tomography (UHRCT) has the potential to provide better image quality of coronary arteries on the whole-heart, ...

Facilitators and barriers to using AI-enabled robots with older adults in long-term care from staff perspective: a scoping review protocol.

BMJ open
INTRODUCTION: Assistive and service robots have been increasingly designed and deployed in long-term care (LTC) but little evidence guides their use. This scoping review synthesises existing studies on facilitators and barriers to using artificial in...

Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study.

Journal of medical Internet research
BACKGROUND: As advancements in artificial intelligence (AI) continue, large language models (LLMs) have emerged as promising tools for generating medical information. Their rapid adaptation and potential benefits in health care require rigorous asses...

The development of robotics courses for young children under vector space model.

PloS one
Robotics education is important in training children's thinking, practical, and innovation abilities. It is significant to stimulate children's interest in learning and improve their learning quality. The existing research has not paid attention to t...

Primary omental pregnancy after in vitro fertilization complicated by hemoperitoneum-how to manage it laparoscopically.

Fertility and sterility
OBJECTIVE: To report an uncommon case of primary OP treated laparoscopically. Ectopic pregnancy (EP) is the leading cause of maternal mortality during the first trimester and the incidence increases with assisted reproductive techniques, occurring in...

Untargeted metabolomic profiling in children identifies novel pathways in asthma and atopy.

The Journal of allergy and clinical immunology
BACKGROUND: Asthma and other atopic disorders can present with varying clinical phenotypes marked by differential metabolomic manifestations and enriched biological pathways.