AIMC Topic: Retrospective Studies

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Heart-Brain 346-7 Score: the development and validation of a simple mortality prediction score for carbon monoxide poisoning utilizing deep learning.

Clinical toxicology (Philadelphia, Pa.)
INTRODUCTION: Acute mortality from carbon monoxide poisoning is 1-3%. The long-term mortality risk of survivors of carbon monoxide poisoning is doubled compared to age-matched controls. Cardiac involvement also increases mortality risk. We built a cl...

Robotic donor nephrectomy: optimizing outcomes beyond the limitations of laparoscopy.

Surgical endoscopy
BACKGROUND: Robotic donor nephrectomy (RDN) has emerged as a safe alternate to laparoscopic donor nephrectomy (LDN), offering improved visualization, instrument dexterity and ergonomics. There is still concern about how to safely transition from LDN ...

A Propensity Score-Matching Analysis: Robotic Thymectomy Through the Subxiphoid Has Advantages Over Video-Assisted Thymectomy Surgery.

Journal of laparoendoscopic & advanced surgical techniques. Part A
The purpose of this article is to evaluate the security and effectiveness of subxiphoid and subcostal robot-assisted thoracoscopic thymectomy (S-RATT) and compare it with subxiphoid and subcostal video-assisted thoracoscopic thymectomy (S-VATT) in t...

A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Dynamic contrast-enhanced (DCE) MRI commonly outperforms diffusion-weighted (DW) MRI in breast cancer discrimination. However, the side effects of contrast agents limit the use of DCE-MRI, particularly in patients with chronic kidney dise...

A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.

Medical physics
BACKGROUND: Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) has demonstrated a strong correlation to improved survival in breast cancer (BC) patients. However, pCR rates to NAC are less than 30%, depending on the BC subtype. Ea...

Identifying inpatient mortality in MarketScan claims data using machine learning.

Pharmacoepidemiology and drug safety
PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In 2016, MarketScan data began obscuring specific hospital discharge status types for patient privacy, including inpatient deaths, by setting the values ...

Management for Benign Ureteral Stricture: Comparison of Robot-Assisted Laparoscopy, Conventional Laparoscopy, and Balloon Dilation.

Journal of endourology
Robot-assisted laparoscopy (RALP), conventional laparoscopy (LP), and balloon dilation (BD) have all been identified as common treatments for benign ureteral stricture (BUS). The purpose of the research would be to compare the safety and efficacy di...

Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study.

Scientific reports
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency Department (ED). To address this aim, we developed an artificial neural network using textual (e.g. patient history) and tabular (e.g. laboratory value...

Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework.

Journal of sleep research
Obstructive sleep apnea (OSA) has a heavy health-related burden on patients and the healthcare system. Continuous positive airway pressure (CPAP) is effective in treating OSA, but adherence to it is often inadequate. A promising solution is to detect...