Medicolegal

Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.

BACKGROUND: Clinical coding is critical for hospital reimbursement, quality assessment, and health care planning. In Scandinavia, however, coding is often done by junior doctors or medical secretaries, leading to high rates of coding errors. Artificial intelligence (AI) tools, particularly semiautomatic computer-assisted coding tools, have the potential to reduce the excessive burden of administra...

Air quality monitoring in Mendoza, Argentina: machine learning approaches for PM prediction.

In this study, different statistical methodologies were combined to assess the relationship between PM concentrations and meteorological variables (temperature, relative humidity, wind direction and speed, and atmospheric pressure) and their associations with other pollutants (CO, NO, NO, and O) recorded during the period 2021-2024 at Mendoza City, Argentina. The results indicate that increased hu...

Deep learning-based single-shot computational spectrometer using multilayer thin films.

Computational spectrometers hold significant potential for mobile applications, such as on-site detection and self-diagnosis, due to their compact siz...

Transformer based spatially resolved prediction of mechanical properties in wire arc additive manufacturing.

Metal additive manufacturing (MAM) provides remarkable design and component geometry freedom over various materials. One of the most recent MAM method...

Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review.

BACKGROUND: Clinical documentation is vital for effective communication, legal accountability and the continuity of care in healthcare. Traditional do...

Nursing-centered development of an AI-based decision support system in pressure ulcer and incontinence-associated dermatitis management - a mixed methods study.

BACKGROUND: Differentiating between stage 1 or 2 pressure ulcer/pressure injury (PU/PI) and incontinence-associated dermatitis (IAD) poses a significa...

Prioritizing challenges in AI adoption for the legal domain: A systematic review and expert-driven AHP analysis.

This research explores the crucial challenges influencing the adoption of Artificial Intelligence (AI) in the legal domain, a field facing escalating ...

Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.

OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, characterized by immune complex deposition in the glomerula...

From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports.

BACKGROUND: Extracting clinical entities from unstructured medical documents is critical for improving clinical decision support and documentation wor...

International Consensus Histopathological Criteria for Subtyping Idiopathic Multicentric Castleman Disease Based on Machine Learning Analysis.

Idiopathic multicentric Castleman disease (iMCD) is a rare lymphoproliferative disorder classified into three recognized clinical subtypes-idiopathic ...

Beyond macroscopic performance: nanoscale charge transfer dynamics in energy storage/conversion devices scanning electrochemical cell microscopy.

The performance of electrochemical energy storage and conversion devices is fundamentally governed by nanoscale charge transfer dynamics at buried int...

BEOL-Compatible Tellurium Films for Optically Stimulated and Mechanically Deformable Artificial Synapses.

The prevailing von Neumann bottleneck has demanded alternatives capable of more efficiently executing massive data in state-of-the-art digital technol...

Artificial intelligence in dentistry: a narrative review of applications, challenges, and future directions.

Artificial intelligence (AI) is increasingly influencing dental practice, offering advancements in diagnostics, treatment planning, and patient manage...

Contribution of α-synuclein cytopathologies to distinct seeding of misfolded α-synuclein.

Synucleinopathies are a group of neurodegenerative diseases characterized by the deposition of misfolded α-synuclein (αSyn), predominantly in oligoden...

AI-Supported Documentation and Clinical Monitoring in Palliative Care: A Real-World Observational Study.

BackgroundPatients in palliative care often experience prolonged hospital stays, requiring detailed documentation, complex symptom management, and mul...

Improving Patient Communication by Simplifying AI-Generated Dental Radiology Reports With ChatGPT: Comparative Study.

BACKGROUND: Medical reports, particularly radiology findings, are often written for professional communication, making them difficult for patients to ...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to respiratory depression. A tool that enables early ...

Where are all the neurosurgery robots?

Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robots have yet to revolutionize neurosurgery. In this ...

Role of astroglia and microglia in Alzheimer's disease and multiple therapeutic interventions.

Alzheimer's disease (AD) is characterized by deposition of amyloid-β (Aβ) and neurofibrillary tangles (NFTs) formed by aggregates of hyperphosphorylat...

Substrate Activated Conformal Deposition Through Interfacial Control by a Soft Energy Intensification Process for Functional Integration in High Performance Artificial Intelligence Computing.

We demonstrate a soft energy vapor deposition process that enables atomic level control of the interface between the substrate surface and the growing...