Medicolegal

[Legal integration of artificial intelligence into internal medicine : Data protection, regulatory, reimbursement and liability questions].

Artificial intelligence (AI) opens up new opportunities to improve medical care in internal medicine...

SONAR, a nursing activity dataset with inertial sensors.

Accurate and comprehensive nursing documentation is essential to ensure quality patient care. To str...

Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.

BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidem...

[Clinical application of large language models : Does ChatGPT replace medical report formulation? An experience report].

Artificial intelligence (AI)-based language models, such as ChatGPT offer an enormous potential for ...

Automatic Photo-Cross-Linking System for Robotic-Based In Situ Bioprinting.

This work reports the design and validation of an innovative automatic photo-cross-linking device fo...

Analysis and implementation of the DynDiff tool when comparing versions of ontology.

BACKGROUND: Ontologies play a key role in the management of medical knowledge because they have the ...

Human-machine cooperation meta-model for clinical diagnosis by adaptation to human expert's diagnostic characteristics.

Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in med...

ChatGPT in Head and Neck Oncology-Opportunities and Challenges.

Head and neck oncology represents a complex and challenging field, encompassing the diagnosis, treat...

Soft robot-mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery.

The foreign body response impedes the function and longevity of implantable drug delivery devices. A...

Artificial intelligence: a new editor limiting self-citation malpractice.

Ethical Considerations of Using ChatGPT in Health Care.

ChatGPT has promising applications in health care, but potential ethical issues need to be addressed...

Artificial intelligence-assisted repurposing of lubiprostone alleviates tubulointerstitial fibrosis.

Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease ...

Probing the molecular mechanisms of α-synuclein inhibitors unveils promising natural candidates through machine-learning QSAR, pharmacophore modeling, and molecular dynamics simulations.

Parkinson's disease is characterized by a multifactorial nature that is linked to different pathways...

Patient Perspectives on Artificial Intelligence in Radiology.

There are two major areas for patient engagement in radiology artificial intelligence (AI). One is i...

Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting.

BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; how...

Utility of ChatGPT in Clinical Practice.

ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical pra...

A unified hybrid transformer for joint MRI sequences super-resolution and missing data imputation.

High-resolution multi-modal magnetic resonance imaging (MRI) is crucial in clinical practice for acc...

Artificial Intelligence in Surgical Documentation: A Critical Review of the Role of Large Language Models.

This article provides a critical analysis of the application of the advanced language model, GPT-4, ...

Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations.

Biological fingerprints extracted from clinical images can be used for patient identity verification...

An Integrated Approach to Improve the Assay Performance of Quantum Dot-Based Lateral Flow Immunoassays by Using Silver Deposition.

Traditional quantum dot-based lateral flow immunoassay (QD-LFIA) is limited to signal loss in part b...

The regulatory environment for artificial intelligence-enabled devices in the United States.

The regulatory environment in the United States has not kept pace with the rapidly developing market...