AIMC Topic: Artificial Intelligence

Clear Filters Showing 711 to 720 of 26332 articles

Speech Emotion Recognition in Mental Health: Systematic Review of Voice-Based Applications.

JMIR mental health
BACKGROUND: The field of speech emotion recognition (SER) encompasses a wide variety of approaches, with artificial intelligence technologies providing improvements in recent years. In the domain of mental health, the links between individuals' emoti...

Large Language Models in Lung Cancer: Systematic Review.

Journal of medical Internet research
BACKGROUND: In the era of data and intelligence, artificial intelligence has been widely applied in the medical field. As the most cutting-edge technology, the large language model (LLM) has gained popularity due to its extraordinary ability to handl...

Clinical Risk Computation by Large Language Models Using Validated Risk Scores.

Journal of medical systems
Recent advances in artificial intelligence have propelled Large Language Models (LLMs) in natural language understanding, enabling new healthcare applications. While LLMs can analyze health data, directly predicting patient risk scores can be unrelia...

Integrating AI in Pakistani ESL classrooms: Teachers' practices, perspectives, and impact on student performance.

PloS one
The global rise of Artificial Intelligence (AI) in English as a Second Language (ESL) education has shown promise, yet its application in resource-constrained contexts like Pakistan remains underexplored. This study examines the integration of AI too...

Survey on Chinese users' acceptance of AI assistants: expanding technology acceptance model.

Scientific reports
With the rapid development of artificial intelligence technology, AI assistants are gradually penetrating daily life and work. However, the internal mechanism of their user acceptance still needs to be further explored. Therefore, this study is based...

A Multimodal Depression Consultation Dataset of Speech and Text with HAMD-17 Assessments.

Scientific data
The global surge in depression rates, notably severe in China with over 95 million affected, underscores a dire public health issue. This is exacerbated by a critical shortfall in mental health professionals, highlighting an urgent call for innovativ...

Transformer-based AI approach to unravel long-term, time-dependent prognostic complexity in patients with advanced NSCLC and PD-L1 ≥50%: insights from the pembrolizumab 5-year global registry.

Journal for immunotherapy of cancer
BACKGROUND: With nearly one-third of patients with advanced non-small cell lung cancer (NSCLC) and PD-L1 Tumor Proportion Score≥50% surviving beyond 5 years following first-line pembrolizumab, long-term outcomes challenge traditional paradigms of can...

Comparative study of technical and patient-related question answering quality of DeepSeek-R1 and ChatGPT-4o in the field of oral and maxillofacial surgery.

Oral and maxillofacial surgery
BACKGROUND: Artificial Intelligence (AI) technologies demonstrate potential as supplementary tools in healthcare, particularly in surgery, where they assist with preoperative planning, intraoperative decisions, and postoperative monitoring. In oral a...

Enhanced diagnostic pipeline for maxillary sinus-maxillary molars relationships: a novel implementation of Detectron2 with faster R-CNN R50 FPN 3x on CBCT images.

BMC oral health
BACKGROUND: The anatomical relationship between the maxillary sinus and maxillary molars is critical for planning dental procedures such as tooth extraction, implant placement and periodontal surgery.

Text to image generators for anatomical illustrations: potential and limitations.

Surgical and radiologic anatomy : SRA
PURPOSE: In recent years, artificial intelligence has made significant advances in medical illustration, paralleling progress in many other fields. These tools provide an efficient and cost-effective approach to creating custom illustrations and rapi...