Practice Management

Medicolegal

Latest AI and machine learning research in medicolegal for healthcare professionals.

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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 th...

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 va...

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

Computational spectrometers hold significant potential for mobile applications, such as on-site dete...

Anaesthesia in 2050: how emerging technologies will transform our practice: The Sir Robert Macintosh Lecture 2025.

In the next 25 years, we will see unprecedented technological progress due to the artificial intelli...

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 (A...

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, character...

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 i...

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

The prevailing von Neumann bottleneck has demanded alternatives capable of more efficiently executin...

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 b...

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

Artificial intelligence (AI) is increasingly influencing dental practice, offering advancements in d...

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

Synucleinopathies are a group of neurodegenerative diseases characterized by the deposition of misfo...

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 ...

Evaluating Equity in Usage and Effectiveness of the CONCERN Early Warning System.

BACKGROUND: The CONCERN Early Warning System (CONCERN EWS) is an artificial intelligence based clini...

Use of natural language processing to identify inflammatory breast cancer cases across a healthcare system.

Early identification and referral of inflammatory breast cancer (IBC) remains challenging within lar...

BengalDeltaFish: A local dataset for fish detection in Bangladeshi markets.

The BengalDeltaFish [1] dataset resolves the common challenge of recognizing fish species in real-wo...

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 com...

Where are all the neurosurgery robots?

Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robot...

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 ...

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 tangle...

Comprehensive dataset of Portuguese folk instruments for computer vision and heritage research.

This dataset contains visual data of traditional Portuguese musical instruments extracted from video...

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