AIMC Topic: Artificial Intelligence

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Personalised medicine through AI-enhanced integration of diagnostic imaging and radiation therapy.

European radiology experimental
The integration of diagnostic imaging with radiation therapy (RT) is evolving into a continuous workflow, significantly advancing personalised oncology care. Recent technological innovations, particularly the incorporation of real-time magnetic reson...

Towards trustworthy AI in radiotherapy: a comprehensive review of uncertainty-aware techniques.

Physics in medicine and biology
. Uncertainty quantification (UQ) has emerged as a crucial component in deep learning-based medical image analysis, particularly in radiotherapy (RT). Addressing uncertainty is essential for improving the reliability, interpretability, and clinical a...

Future of medical leadership in the age of artificial intelligence.

BMJ leader
In the dynamic landscape of modern healthcare, the rise of artificial intelligence (AI) is revolutionising leadership roles by challenging established skill sets. Effective integration of AI relies heavily on adept balancing of rapid technological ad...

Measuring provider-level differences in perioperative workflow using computer vision-based artificial intelligence.

BMJ health & care informatics
OBJECTIVES: To evaluate provider-level variability across the full perioperative workflow using a computer vision-based artificial intelligence (AI) system that automatically detects and timestamps operating room events.

Artificial Intelligence in Breast Cancer Diagnosis and Management.

British journal of hospital medicine (London, England : 2005)
Artificial intelligence (AI) holds significant promise in the fields of diagnostics and therapeutics, particularly in cancer management. AI has been extensively applied in various aspects of breast cancer care. Numerous studies and reviews have been ...

Artificial Intelligence in UK Hospital Medicine: From Innovation to Implementation.

British journal of hospital medicine (London, England : 2005)
Artificial Intelligence (AI) has the potential to enhance patient care in the UK's increasingly pressured healthcare system. As AI's applications in healthcare are expanding, healthcare professionals should understand the processes underpinning how A...

Towards AI-based precision rehabilitation via contextual model-based reinforcement learning.

Journal of neuroengineering and rehabilitation
BACKGROUND: Stroke is a condition marked by considerable variability in lesions, recovery trajectories, and responses to therapy. Consequently, precision medicine in rehabilitation post-stroke, which aims to deliver the "right intervention, at the ri...

Secure federated transfer learning with enhanced secure multiparty computation for privacy preserving smart EHR systems.

Scientific reports
Federated Learning and Artificial Intelligence (AI) are two most intriguing and leading technologies in the intelligent healthcare business. Data must be collected, stored and analyzed from various companies. Patient data processing, particularly in ...

AI-assisted identification of innovative phytochemicals from Aizoon canariense aimed at brachyury protein in chordoma: a computational strategy.

Scientific reports
Chordoma is an unique and aggressive bone malignancy along with limited therapeutic options, largely due to the undruggable nature of the TBXT oncoprotein. In this study, we employed an AI-assisted drug discovery approach to optimize β-sitosterol fro...

Intersection of Big Five Personality Traits and Substance Use on Social Media Discourse: AI-Powered Observational Study.

Journal of medical Internet research
BACKGROUND: Personality traits are known predictors of substance use (SU), but their expression and association with SU in digital discourse remain largely unexamined. During the COVID-19 pandemic, the online social engagement heightened and led to a...