AIMC Topic: Referral and Consultation

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Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.

JAMA network open Apr 1, 2021
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
Female Adult Male Middle Aged Humans Artificial Intelligence Dermatology Referral and Consultation Physicians, Primary Care Nurse Practitioners Diagnosis, Computer-Assisted Skin Diseases Telemedicine
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Multi-source Seq2seq guided by knowledge for Chinese healthcare consultation.

Journal of biomedical informatics Mar 11, 2021
Online healthcare consultation offers people a convenient way to consult doctors. In this paper, we aim at building a generative dialog system for Chinese healthcare consultation. As the original Seq2seq architecture tends to suffer the issue of gene...
Referral and Consultation Humans Learning China Machine Learning Delivery of Health Care
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Predictors of complications occurring after open and robot-assisted prostate cancer surgery: a retrospective evaluation of 1062 consecutive patients treated in a tertiary referral high volume center.

Journal of robotic surgery Feb 9, 2021
To investigate factors associated with the risk of major complications after radical prostatectomy (RP) by the open (ORP) or robot-assisted (RARP) approach for prostate cancer (PCa) in a tertiary referral center. 1062 consecutive patients submitted t...
Humans Retrospective Studies Male Referral and Consultation Prostatectomy Prostatic Neoplasms Tertiary Care Centers Robotic Surgical Procedures Postoperative Complications Treatment Outcome Robotics
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Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.

JAMA network open Feb 1, 2021
IMPORTANCE: The Undiagnosed Diseases Network (UDN) is a national network that evaluates individual patients whose signs and symptoms have been refractory to diagnosis. Providing reliable estimates of admission outcomes may assist clinical evaluators ...
Triage Area Under Curve Whole Genome Sequencing Patient Selection Child, Preschool Child ROC Curve Undiagnosed Diseases Referral and Consultation Patient Admission Rare Diseases Reproducibility of Results Young Adult Adult Infant Adolescent Male Middle Aged Retrospective Studies Female Infant, Newborn Machine Learning Prospective Studies Computer Simulation Humans
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Using natural language processing to explore heterogeneity in moral terminology in palliative care consultations.

BMC palliative care Jan 25, 2021
BACKGROUND: High quality serious illness communication requires good understanding of patients' values and beliefs for their treatment at end of life. Natural Language Processing (NLP) offers a reliable and scalable method for measuring and analyzing...
Humans Natural Language Processing Referral and Consultation Christianity Palliative Care Morals
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Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images.

Translational vision science & technology Dec 4, 2020
PURPOSE: To evaluate the performance of a deep learning algorithm in the detection of referral-warranted diabetic retinopathy (RDR) on low-resolution fundus images acquired with a smartphone and indirect ophthalmoscope lens adapter.
Reproducibility of Results Humans Diabetes Mellitus Deep Learning Diabetic Retinopathy Referral and Consultation Artificial Intelligence
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Realizing 5G- and AI-based doctor-to-doctor remote diagnosis: opportunities, challenges, and prospects.

Bioscience trends Oct 25, 2020
Fifth Generation (5G) mobile communications technology became available in Japan as of the end of March 2020. The Ministry of Internal Affairs and Communications (MIC) is proceeding with a plan to use 5G for a doctor-to-doctor remote diagnosis system...
Workload Japan Telemedicine Health Information Exchange Cell Phone Referral and Consultation Early Diagnosis Endoscopy Deep Learning Ultrasonography Humans
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Cross domains adversarial learning for Chinese named entity recognition for online medical consultation.

Journal of biomedical informatics Oct 23, 2020
Deep learning methods have been applied to Chinese named entity recognition for the online medical consultation. They require a large number of marked samples. However, no such database is available at present. This paper begins with constructing a l...
Natural Language Processing Electronic Health Records Referral and Consultation Language China
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Improved patient satisfaction and diagnostic accuracy in skin diseases with a Visual Clinical Decision Support System-A feasibility study with general practitioners.

PloS one Jul 29, 2020
Patient satisfaction is an important indicator of health care quality, and it remains an important goal for optimal treatment outcomes to reduce the level of misdiagnoses and inappropriate or absent therapeutic actions. Digital support tools for diff...
General Practitioners Decision Support Systems, Clinical Diagnostic Errors Feasibility Studies Skin Diseases Expert Systems Humans Male Patient Compliance Patient Satisfaction Female Referral and Consultation Middle Aged Adult
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Artificial Intelligence in Dermatology: A Primer.

The Journal of investigative dermatology Mar 27, 2020
Artificial intelligence is becoming increasingly important in dermatology, with studies reporting accuracy matching or exceeding dermatologists for the diagnosis of skin lesions from clinical and dermoscopic images. However, real-world clinical valid...
Image Processing, Computer-Assisted Triage Referral and Consultation Humans Skin Deep Learning Skin Diseases Telemedicine Dermatology
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