AIMC Topic: Referral and Consultation
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Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation.
Journal of assisted reproduction and genetics
Jul 4, 2024
PURPOSE: To determine if an explainable artificial intelligence (XAI) model enhances the accuracy and transparency of predicting embryo ploidy status based on embryonic characteristics and clinical data.
Artificial Intelligence Methods for the Argenta Classification of Deformational Plagiocephaly to Predict Severity and Treatment Recommendation.
The Journal of craniofacial surgery
Jun 28, 2024
INTRODUCTION: Deformational plagiocephaly (DP) can be classified into 5 severity types using the Argenta scale (AS). Patients with type III or higher require referral to craniofacial surgery for management. Primary care pediatricians (PCPs) are often...
Machine learning and deep learning for classifying the justification of brain CT referrals.
European radiology
Jun 24, 2024
OBJECTIVES: To train the machine and deep learning models to automate the justification analysis of radiology referrals in accordance with iGuide categorisation, and to determine if prediction models can generalise across multiple clinical sites and ...
Machine Learning and External Validation of the IDENTIFY Risk Calculator for Patients with Haematuria Referred to Secondary Care for Suspected Urinary Tract Cancer.
European urology focus
Jun 21, 2024
BACKGROUND: The IDENTIFY study developed a model to predict urinary tract cancer using patient characteristics from a large multicentre, international cohort of patients referred with haematuria. In addition to calculating an individual's cancer risk...
Invited Commentary: Durairaj et al.'s "Artificial Intelligence vs. Expert Plastic Surgeon: Comparative Study Shows ChatGPT 'Wins' Rhinoplasty Consultations-Should We Be Worried?".
Facial plastic surgery & aesthetic medicine
May 8, 2024
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals.
BMC medical informatics and decision making
Apr 23, 2024
BACKGROUND: This study aims to propose a semi-automatic method for monitoring the waiting times of follow-up examinations within the National Health System (NHS) in Italy, which is currently not possible to due the absence of the necessary structured...
Blepharoptosis Consultation with Artificial Intelligence: Aesthetic Surgery Advice and Counseling from Chat Generative Pre-Trained Transformer (ChatGPT).
Aesthetic plastic surgery
Apr 8, 2024
BACKGROUND: Chat generative pre-trained transformer (ChatGPT) is a publicly available extensive artificial intelligence (AI) language model that leverages deep learning to generate text that mimics human conversations. In this study, the performance ...
The radiologist as a physician - artificial intelligence as a way to overcome tension between the patient, technology, and referring physicians - a narrative review.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Apr 3, 2024
BACKGROUND: Large volumes of data increasing over time lead to a shortage of radiologists' time. The use of systems based on artificial intelligence (AI) offers opportunities to relieve the burden on radiologists. The AI systems are usually optimized...
Response to Letter to the Editor re: "Artificial Intelligence Versus Expert Plastic Surgeon: Comparative Study Shows ChatGPT 'Wins' Rhinoplasty Consultations: Should We Be Worried? [1]" by Durairaj et al.
Facial plastic surgery & aesthetic medicine
Mar 19, 2024
Physicians' and Patients' Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients.
JMIR human factors
Mar 18, 2024
BACKGROUND: Physicians are currently overwhelmed by administrative tasks and spend very little time in consultations with patients, which hampers health literacy, shared decision-making, and treatment adherence.
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