Practice Management

Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Interpretable clinical prediction via attention-based neural network.

BACKGROUND: The interpretability of results predicted by the machine learning models is vital, espec...

Advances in Telemedicine in Ophthalmology.

Telemedicine is the provision of healthcare-related services from a distance and is poised to move h...

Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria.

BACKGROUND: With the growing adoption of the electronic health record (EHR) worldwide over the last ...

The Future of Skull Base Surgery: A View Through Tinted Glasses.

In the present report, we have broadly outlined the potential advances in the field of skull base su...

The European artificial intelligence strategy: implications and challenges for digital health.

In February, 2020, the European Commission published a white paper on artificial intelligence (AI) a...

Human-computer collaboration for skin cancer recognition.

The rapid increase in telemedicine coupled with recent advances in diagnostic artificial intelligenc...

Clinical questionnaire filling based on question answering framework.

BACKGROUND: Electronic Health Records (EHR) are the foundation of much medical research. However, an...

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology.

With the advancement of computational power, refinement of learning algorithms and architectures, an...

Robotics Utilization for Healthcare Digitization in Global COVID-19 Management.

This paper describes the evolving role of robotics in healthcare and allied areas with special conce...

The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care U...

Beyond safety drivers: Applying air traffic control principles to support the deployment of driverless vehicles.

By adopting and extending lessons from the air traffic control system, we argue that a nationwide re...

Detecting modeling inconsistencies in SNOMED CT using a machine learning technique.

SNOMED CT is a comprehensive and evolving clinical reference terminology that has been widely adopte...

On using electronic health records to improve optimal treatment rules in randomized trials.

Individualized treatment rules (ITRs) tailor medical treatments according to patient-specific charac...

Cochlear implant telemedicine: Remote fitting based on psychoacoustic self-tests and artificial intelligence.

This study aims to assess the feasibility of autonomous cochlear implant (CI) fitting by adult CI r...

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Digitization of medicine requires systematic handling of the increasing amount of health data to imp...

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from...

Harmonized representation learning on dynamic EHR graphs.

With the rise of deep learning, several recent studies on deep learning-based methods for electronic...

Predicting Inpatient Medication Orders From Electronic Health Record Data.

In a general inpatient population, we predicted patient-specific medication orders based on structur...

Automated ICD coding via unsupervised knowledge integration (UNITE).

OBJECTIVE: Accurate coding is critical for medical billing and electronic medical record (EMR)-based...

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study.

BACKGROUND: Electronic medical record (EMR) systems capture large amounts of data per patient and pr...

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