AIMC Topic: Artificial Intelligence

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Perceptions and Attitudes of Chinese Oncologists Toward Endorsing AI-Driven Chatbots for Health Information Seeking Among Patients with Cancer: Phenomenological Qualitative Study.

Journal of medical Internet research
BACKGROUND: Chatbots driven by large language model artificial intelligence (AI) have emerged as potential tools to enhance health information access for patients with cancer. However, their integration into patient education raises concerns among on...

Assessing the impact of information on patient attitudes toward artificial intelligence-based clinical decision support (AI/CDS): a pilot web-based SMART vignette study.

Journal of medical ethics
BACKGROUND: It is increasingly recognised that the success of artificial intelligence-based clinical decision support (AI/CDS) tools will depend on physician and patient trust, but factors impacting patients' views on clinical care reliant on AI have...

When time is of the essence: ethical reconsideration of XAI in time-sensitive environments.

Journal of medical ethics
The objective of explainable artificial intelligence systems designed for clinical decision support (XAI-CDSS) is to enhance physicians' diagnostic performance, confidence and trust through the implementation of interpretable methods, thus providing ...

High-throughput screening system for immunogenic cell death inducers using artificial intelligence-based real-time image analysis.

Computers in biology and medicine
Immunogenic cell death (ICD) can enhance the immunogenicity of cold tumors, convert them into immune-responsive hot tumors, and improve the efficacy of cancer immunotherapy. Because ICD inducers cause cell swelling, membrane rupture, and the release ...

Educational impacts of generative artificial intelligence on learning and performance of engineering students in China.

Scientific reports
With the rapid advancement of generative artificial intelligence (AI), its potential applications in higher education have attracted significant attention. This study investigated how 148 students from diverse engineering disciplines and regions acro...

Educational Competencies for Artificial Intelligence in Radiology: A Scoping Review.

Academic radiology
OBJECTIVE: The integration of artificial intelligence (AI) in radiology may necessitate refinement of the competencies expected of radiologists. There is currently a lack of understanding on what competencies radiology residency programs should ensur...

Comprehensive analysis of frameworks for evaluating artificial intelligence solutions in Healthcare: A descriptive review.

Computers in biology and medicine
BACKGROUND: Despite the lack of pricing and reimbursement guidelines for AI driven health technologies at majority of EU jurisdictions, there are some new examples of value assessment framework for digital solutions. To facilitate the process of homo...

Establishment of AI-assisted diagnosis of the infraorbital posterior ethmoid cells based on deep learning.

BMC medical imaging
OBJECTIVE: To construct an artificial intelligence (AI)-assisted model for identifying the infraorbital posterior ethmoid cells (IPECs) based on deep learning using sagittal CT images.

Lysophospholipid metabolism, clinical characteristics, and artificial intelligence-based quantitative assessments of chest CT in patients with stable COPD and healthy smokers.

Scientific reports
The specific role of lysophospholipids (LysoPLs) in the pathogenesis of chronic obstructive pulmonary disease (COPD) is not yet fully understood. We determined serum LysoPLs in 20 patients with stable COPD and 20 healthy smokers using liquid chromato...

Minimally invasive surgery: a historical and legal perspective on technological transformation.

Journal of robotic surgery
Minimally Invasive Surgery (MIS) has experienced a significant evolution over the last 5,000 years, progressing from basic manual methods to sophisticated, robot-assisted approaches. The evolution of minimally invasive surgery (MIS) has been influenc...