AIMC Topic: Patient Discharge
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The Adelaide Score: An artificial intelligence measure of readiness for discharge after general surgery.
ANZ journal of surgery
Jun 1, 2023
BACKGROUND: This study aimed to examine the performance of machine learning algorithms for the prediction of discharge within 12 and 24 h to produce a measure of readiness for discharge after general surgery.
Supervised deep learning with vision transformer predicts delirium using limited lead EEG.
Scientific reports
May 16, 2023
As many as 80% of critically ill patients develop delirium increasing the need for institutionalization and higher morbidity and mortality. Clinicians detect less than 40% of delirium when using a validated screening tool. EEG is the criterion standa...
GPT-4: a new era of artificial intelligence in medicine.
Irish journal of medical science
Apr 19, 2023
GPT-4 is the latest version of ChatGPT which is reported by OpenAI to have greater problem-solving abilities and an even broader knowledge base. We examined GPT-4's ability to inform us about the latest literature in a given area, and to write a disc...
Same-day discharge robot-assisted laparoscopic prostatectomy: feasibility, safety and patient experience.
BJU international
Mar 16, 2023
OBJECTIVES: To report a single centre's experience of the feasibility, safety and patient acceptability of same-day discharge robot-assisted laparoscopic prostatectomy (RALP).
Same day discharge for robot-assisted radical prostatectomy: a prospective cohort study documenting an Australian approach.
ANZ journal of surgery
Jan 13, 2023
BACKGROUND: The introduction of robotic surgical systems has significantly impacted urological surgery, arguably more so than other surgical disciplines. The focus of our study was length of hospital stay - patients have traditionally been discharged...
Same-Day Discharge After Robot-Assisted Partial Nephrectomy: Is It Worth It?
Journal of endourology
Dec 27, 2022
Robot-assisted partial nephrectomy (RAPN) has traditionally been performed as an inpatient procedure; however, recent studies have suggested the feasibility of same-day discharge (SDD) after RAPN. We aimed to evaluate the safety and cost-effectivene...
Neurosurgery inpatient outcome prediction for discharge planning with deep learning and transfer learning.
British journal of neurosurgery
Dec 2, 2022
INTRODUCTION: Deep learning may be able to assist with the prediction of neurosurgical inpatient outcomes. The aims of this study were to investigate deep learning and transfer learning in the prediction of several inpatient outcomes including timing...
A Natural Language Processing and Machine Learning Approach to Identification of Incidental Radiology Findings in Trauma Patients Discharged from the Emergency Department.
Annals of emergency medicine
Oct 31, 2022
STUDY OBJECTIVE: Patients undergoing diagnostic imaging studies in the emergency department (ED) commonly have incidental findings, which may represent unrecognized serious medical conditions, including cancer. Recognition of incidental findings freq...
Early prediction of patient discharge disposition in acute neurological care using machine learning.
BMC health services research
Oct 25, 2022
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability in the U.S. The medical professionals that treat patients in this setting are tasked with deciding where (e.g., home or facility), how, and when to di...
De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models.
Journal of biomedical informatics
Oct 3, 2022
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value to medical researchers. However, this information is mixed with Personally Identifiable Information (PII) that presents risks to patient and clinician ...
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