AIMC Topic: Humans

Clear Filters Showing 2761 to 2770 of 95995 articles

Deep phenotyping of patient lived experience in functional bowel disorders using machine learning.

Scientific reports
Contemporary clinical management relies on a diagnostic label as the primary guide to treatment. However, individual patients' lived experiences vary more widely than standard diagnostic categories reflect. This is especially true for functional bowe...

Preoperative prediction of lymph node metastasis risk in papillary thyroid carcinoma based on multiple model comparisons.

Scientific reports
The clinical necessity of lymph node dissection in papillary thyroid carcinoma (PTC) surgery remains contentious. This study compared four logistic regression (LR) models (with distinct feature selection strategies) and four machine learning (ML) mod...

Optimizing breast cancer chemotherapy by harnessing gut microbiota with insights from artificial intelligence.

NPJ biofilms and microbiomes
Optimizing chemotherapy for breast cancer (BC) remains a critical challenge. Gut microbiota (GM) dysbiosis, varying across BC subtypes and stages, influences BC development and chemotherapy response through immune and metabolic pathways. Chemotherapy...

Exploring parameter optimisation in machine learning algorithms for locomotor task discrimination using wearable sensors.

Scientific reports
The accurate identification of locomotion states from wearable sensor data using machine learning relies heavily on carefully selecting algorithm parameters, which remains a challenging task. This study systematically optimised key parameters-includi...

A deep ensemble learning framework for brain tumor classification using data balancing and fine-tuning.

Scientific reports
Brain tumors are a critical medical challenge, requiring accurate and timely diagnosis to improve patient outcomes. Misclassification can significantly reduce life expectancy, emphasizing the need for precise diagnostic methods. Manual analysis of ex...

Students' perceptions of AI mental health chatbots: an exploratory qualitative study at Sultan Qaboos University.

BMJ open
OBJECTIVES: The aim of this study is to explore the perceptions, attitudes and previous experiences of Sultan Qaboos University (SQU) students towards artificial intelligence (AI) mental health chatbots.

Medicine Beyond Machines: Viewpoint on the Art of Thinking in the Age of AI.

JMIR formative research
The widespread adoption of large language models is increasingly shaping clinical decision-making by altering how physicians engage with data and reasoning. While these tools enhance diagnostic capacity, streamline workflows, and support learning, th...

Hand, Foot, and Mouth Disease Risk Prediction in Southern China: Time Series Study Integrating Web-Based Search and Epidemiological Surveillance Data.

JMIR infodemiology
BACKGROUND: Hand, foot, and mouth disease (HFMD) is a global health concern requiring a risk assessment framework based on systematic factors analysis for prevention and control.

Health Care Professionals' Perspectives of Socially Assistive Robots in Health Care Settings: Systematic Review.

Journal of medical Internet research
BACKGROUND: Health care professionals (HCPs) are key stakeholders whose acceptance, preparedness, and ethical considerations influence the integration of socially assistive robots (SARs). This review explores HCPs' perspectives on SARs integration in...

Artificial neural network optimized green synthesis of cysteine-conjugated silver nanoparticles for antibacterial activity against staphylococcus nepalensis to combat cystitis.

Antonie van Leeuwenhoek
The emergence of multidrug-resistant pathogens has increased the urgency for alternative treatment options for infections like cystitis. This study focused on the green synthesis of silver nanoparticles and cysteine-conjugated silver nanoparticles ut...