Practice Management

Medicolegal

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

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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.

In the last decade, the widespread adoption of electronic health record documentation has created hu...

Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network.

BACKGROUND AND OBJECTIVES: Direct immunofluorescence (DIF) is an important medical evaluation tool f...

Identification of asthma control factor in clinical notes using a hybrid deep learning model.

BACKGROUND: There are significant variabilities in guideline-concordant documentation in asthma care...

A deep learning approach to identify and segment alpha-smooth muscle actin stress fiber positive cells.

Cardiac fibrosis is a pathological process characterized by excessive tissue deposition, matrix remo...

Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing.

BACKGROUND: Invaluable information on patient functioning and the complex interactions that define i...

Artificial Intelligence in Cardiovascular Imaging: "Unexplainable" Legal and Ethical Challenges?

Nowhere is the influence of artificial intelligence (AI) likely to be more profoundly felt than in h...

Algorithm Change Protocols in the Regulation of Adaptive Machine Learning-Based Medical Devices.

One of the greatest strengths of artificial intelligence (AI) and machine learning (ML) approaches i...

Solution combustion synthesis of Ni/LaO for dry reforming of methane: tuning the basicity alkali and alkaline earth metal oxide promoters.

The production of syngas dry reforming of methane (DRM) has drawn tremendous research interest, asc...

Revealing Contamination and Sequence of Overlapping Fingerprints by Unsupervised Treatment of a Hyperspectral Secondary Ion Mass Spectrometry Dataset.

Time-of-flight secondary ion mass spectrometry (ToF-SIMS) has been successfully applied for chemical...

Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...

Exploring the art of medical photography - an otolaryngologist's perspective.

BACKGROUND: Modern day otolaryngology has expanded beyond the ear, nose and throat to include head a...

Artificial Intelligence Confirming Treatment Success: The Role of Gender- and Age-Specific Scales in Performance Evaluation.

In plastic surgery and cosmetic dermatology, photographic data are an invaluable element of research...

Superhydrophobic cotton fabric membrane prepared by fluoropolymers and modified nano-SiO used for oil/water separation.

At present, the preparation methods of oil-water separation membranes include chemical vapor deposit...

RGB-D scene analysis in the NICU.

Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentat...

Non-invasive diagnostic tool for Parkinson's disease by sebum RNA profile with machine learning.

Parkinson's disease (PD) is a progressive neurodegenerative disease presenting with motor and non-mo...

Knowledge and Attitudes Toward an Artificial Intelligence-Based Fidelity Measurement in Community Cognitive Behavioral Therapy Supervision.

To capitalize on investments in evidence-based practices, technology is needed to scale up fidelity ...

Deep learning-based quantification of arbuscular mycorrhizal fungi in plant roots.

Soil fungi establish mutualistic interactions with the roots of most vascular land plants. Arbuscula...

Deep learning assisted quantitative assessment of histopathological markers of Alzheimer's disease and cerebral amyloid angiopathy.

Traditionally, analysis of neuropathological markers in neurodegenerative diseases has relied on vis...

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