AIMC Topic: Artificial Intelligence

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Investigating How Clinicians Form Trust in an AI-Based Mental Health Model: Qualitative Case Study.

JMIR human factors
BACKGROUND: Trust in artificial intelligence (AI) remains a critical barrier to the adoption of AI in mental health care. This study explores the formation of trust in an AI mental health model and its human-computer interface among clinicians at a w...

Improving Colorectal Cancer Detection with AI-Assisted Colonoscopy: A Systematic Review and Meta-Analysis of 38 RCTs with GRADE Assessment.

Journal of gastrointestinal cancer
BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Early detection of precancerous lesions such as adenomas and polyps is vital for prevention, yet standard colonoscopy may miss up to 26% of adenomas. A...

Connectomics in brain tumor surgery: large-scale clinical feasibility and hypothesis-generating tractometry findings.

Journal of neuro-oncology
BACKGROUND: Maximal tumor resection with neurological preservation is central to brain tumor surgery. This study evaluates the integration of an artificial intelligence-based connectomics platform for surgical planning, with exploratory tractometry a...

Ethical compliance and institutional policy support for artificial intelligence integration in African TVET Education: A structural equation modeling approach.

PloS one
As artificial intelligence (AI) reshapes educational landscapes, ensuring ethical alignment and institutional responsiveness is essential particularly in skill-intensive sectors such as Technical and Vocational Education and Training (TVET). In this ...

Automating Life Cycle Assessments through Artificial Intelligence Agents and Integrated Assessment Models.

Environmental science & technology
Life cycle assessments (LCA) are a critical decision support tool for environmentally sustainable decision-making, but barriers such as time and resource intensity inhibit widespread application of LCA. To overcome these challenges, LCAs have been pa...

Harnessing Biophysical Approaches in Unlocking Bone Health: A Toolkit for Clinicians and Researchers.

ACS biomaterials science & engineering
The skeletal system exhibits remarkable mechanical properties, serving as the primary supportive framework in vertebrates. Dysregulation of bone metabolic activity can alter bone quality and quantity, leading to skeletal deformity, pain, or disease. ...

Systemic Sclerosis-Associated Interstitial Lung Disease: Improved Understanding and Advances in Management.

British journal of hospital medicine (London, England : 2005)
Interstitial lung disease (ILD), a common manifestation of systemic sclerosis (SSc), has the highest organ-specific morbidity and mortality, particularly in patients with diffuse cutaneous SSc (dcSSc). Recent advances in diagnostics-including artific...

Reweaving the Threads of Korean History: AI-Driven Restoration of the Daegu-bu Household Registers (1681-1876).

Scientific data
In this study, we have applied advanced masked language models (MLMs)-BERT, DistilBERT, ELECTRA, and RoBERTa-to infer missing and misinterpreted values in comprehensive family register data. Our data compiles Daegu-bu household register books, trienn...

Performance of DeepSeek-R1, ChatGPT (GPT-o3-mini), and Gemini 2.0 Flash on German Medical Multiple-Choice Questions: Comparative Evaluation.

JMIR formative research
BACKGROUND: Despite the transformative potential of artificial intelligence (AI)-based chatbots in medicine, their implementation is hindered by data privacy and security concerns. DeepSeek offers a conceivable solution through its capability for loc...

OntoSecAI: Ontology-driven security automation for AI-enabled systems.

PloS one
The advent of artificial intelligence (AI) models presents significant opportunities alongside inherent security risks, such as the exploitation by adversaries generating malicious data to compromise other AI-enabled systems. Despite the urgent need ...