AIMC Topic: Practice Patterns, Physicians'

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Predictors of emergency department opioid administration and prescribing: A machine learning approach.

The American journal of emergency medicine Jul 18, 2020
INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acute and chronic pain, particularly within the Emergency Department (ED) setting, where providers are now confronted with balancing pain management and p...
Pain Management Practice Patterns, Physicians' Health Care Surveys Humans Machine Learning Female Emergency Service, Hospital Analgesics, Opioid Male Middle Aged
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Medical data science in rhinology: Background and implications for clinicians.

American journal of otolaryngology Jul 2, 2020
BACKGROUND: An important challenge of big data is using complex information networks to provide useful clinical information. Recently, machine learning, and particularly deep learning, has enabled rapid advances in clinical practice. The application ...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Practice Patterns, Physicians' Otolaryngology Decision Making, Computer-Assisted Otolaryngologists Deep Learning Cluster Analysis Rhinitis
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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Annals of diagnostic pathology Apr 12, 2020
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integr...
Liver Cirrhosis Liver Biopsy Artificial Intelligence Severity of Illness Index Image Processing, Computer-Assisted Fibrosis Azo Compounds Collagen Automation Pathologists Supervised Machine Learning Non-alcoholic Fatty Liver Disease Humans Organ Dysfunction Scores Eosine Yellowish-(YS) Methyl Green Portal Vein Practice Patterns, Physicians' Clinical Trials as Topic
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Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.

Medical oncology (Northwood, London, England) Apr 3, 2020
Artificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice of physicians across the world. Radiology has a strong affinity for machine learning and is at the forefront of the paradigm shift, as machines compete ...
Deep Learning Radiography Radiologists Physician's Role Practice Patterns, Physicians' Radiology, Interventional Artificial Intelligence Machine Learning Forecasting Humans
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[Do artificial intelligence systems reason in the same way as clinicians when making diagnoses?].

La Revue de medecine interne Jan 25, 2020
Clinical reasoning is at the heart of physicians' competence, as it allows them to make diagnoses. However, diagnostic errors are common, due to the existence of reasoning biases. Artificial intelligence is undergoing unprecedented development in thi...
Intuition Prejudice Physicians Humans Clinical Reasoning Diagnostic Errors Artificial Intelligence Decision Making Diagnostic Techniques and Procedures Diagnosis, Computer-Assisted Practice Patterns, Physicians'
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[Artificial intelligence: Guidelines for internists].

La Revue de medecine interne Dec 31, 2019
Following the emergence of open public databases and connected objects, big data and artificial intelligence are developing rapidly, especially in medicine, with many opportunities ranging from complex diagnostic assistance to real-time statistical a...
Humans Internal Medicine Education, Medical, Continuing Physicians Practice Guidelines as Topic Artificial Intelligence Big Data Practice Patterns, Physicians' Databases, Factual
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A fusion framework to extract typical treatment patterns from electronic medical records.

Artificial intelligence in medicine Dec 28, 2019
OBJECTIVE: Electronic Medical Records (EMRs) contain temporal and heterogeneous doctor order information that can be used for treatment pattern discovery. Our objective is to identify "right patient", "right drug", "right dose", "right route", and "r...
Algorithms Electronic Health Records Practice Patterns, Physicians' Humans Neural Networks, Computer Artificial Intelligence
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Standard operating procedure for curation and clinical interpretation of variants in cancer.

Genome medicine Nov 29, 2019
Manually curated variant knowledgebases and their associated knowledge models are serving an increasingly important role in distributing and interpreting variants in cancer. These knowledgebases vary in their level of public accessibility, and the co...
Practice Patterns, Physicians' Disease Susceptibility Models, Theoretical Knowledge Bases Disease Management Humans Neoplasms Clinical Competence
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Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.

Australian veterinary journal Jun 17, 2019
BACKGROUND: Currently there is an incomplete understanding of antimicrobial usage patterns in veterinary clinics in Australia, but such knowledge is critical for the successful implementation and monitoring of antimicrobial stewardship programs.
Anti-Infective Agents Humans Veterinarians Antimicrobial Stewardship Natural Language Processing Cats Records Dogs Animals Practice Patterns, Physicians' Australia
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Exploring the Bedside Clinician's Medical Intelligence in the Age of Artificial Intelligence.

The American journal of medicine Apr 15, 2019
Humans Artificial Intelligence Forecasting Narration Point-of-Care Systems France Practice Patterns, Physicians' Clinical Competence Emotional Intelligence
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