Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

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Scalable Coding for High-Resolution, High-Compression Ratio Snapshot Compressive Video.

High-speed cameras are crucial for capturing fast events beyond human perception, although challenge...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and eff...

Prediction of Acute Kidney Injury in Critically ill Patients with Community-Acquired Pneumonia Using Machine Learning.

BackgroundThe incidence of acute kidney injury (AKI) is increased in patients with community-acquire...

From neurotoxicity to neuroprotection: Rethinking GABAR-targeting anesthetics.

The brain growth spurt (BGS) represents a pivotal window in neurodevelopment, defined by rapid neuro...

Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stere...

Real-time automated billing for tobacco treatment: developing and validating a scalable machine learning approach.

OBJECTIVES: To develop CigStopper, a real-time, automated medical billing prototype designed to iden...

Updates on inherited arrhythmia syndromes (Brugada syndrome, long QT syndrome, CPVT, ARVC).

The inherited arrhythmia (IA) syndromes are a group of rare and complex conditions that may predispo...

Collective predictive coding as model of science: formalizing scientific activities towards generative science.

This article proposes a new conceptual framework called ) to formalize and understand scientific act...

Predicting expression-altering promoter mutations with deep learning.

Only a minority of patients with rare genetic diseases are currently diagnosed by exome sequencing, ...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

CytoLNCpred-a computational method for predicting cytoplasm associated long non-coding RNAs in 15 cell-lines.

The function of long non-coding RNA (lncRNA) is largely determined by its specific location within a...

Parvalbumin neurons and cortical coding of dynamic stimuli: a network model.

Cortical circuits feature both excitatory and inhibitory cells that underlie the encoding of dynamic...

Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study.

BACKGROUND AND OBJECTIVE: Gastric cancer (GC) remains a prevalent and preventable disease, yet accur...

Machine learning for predicting medical outcomes associated with acute lithium poisoning.

The use of machine learning algorithms and artificial intelligence in medicine has attracted signifi...

A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction.

BACKGROUND: Essential genes are crucial for the development, inheritance, and survival of species. T...

Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning.

Pseudouridine is an important modification site, which is widely present in a variety of non-coding ...

AI-driven cybersecurity framework for software development based on the ANN-ISM paradigm.

With the increasing reliance on software applications, cybersecurity threats have become a critical ...

Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study.

BACKGROUND: Congestive heart failure (CHF) is a common cause of hospital admissions. Medical records...

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