AIMC Topic: Retrospective Studies

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Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears.

BMC cancer
BACKGROUND: Acute promyelocytic leukemia (APL) is considered a hematologic emergency due to high risk of bleeding and fatal hemorrhages being a major cause of death. Despite lower death rates reported from clinical trials, patient registry data sugge...

A Systematic Review and Meta-Analysis of Comparison of Outcomes of Robot-Assisted versus Open Partial Nephrectomy in Clinical T1 Renal Cell Carcinoma Patients.

Urologia internationalis
INTRODUCTION: Robot-assisted partial nephrectomy (RAPN) has been increasingly used for renal cell carcinoma in recent years. But the advantages of RARN over open partial nephrectomy (OPN) are still controversial.

Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging.

Ophthalmology
PURPOSE: To develop and validate a deep learning (DL) system for predicting each point on visual fields (VFs) from disc and OCT imaging and derive a structure-function mapping.

Robot-Assisted Laparoscopic Ureterocalicostomy in the Setting of Ureteropelvic Junction Obstruction: A Multi-Institutional Cohort.

The Journal of urology
PURPOSE: Recurrent ureteropelvic junction obstruction (UPJO) after failed pyeloplasty is a complex surgical dilemma. The robot-assisted laparoscopic ureterocalicostomy (RALUC) is a potential surgical approach, but widespread adoption is limited due t...

Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Pediatric sepsis imposes a significant burden of morbidity and mortality among children. While the speedy application of existing supportive care measures can substantially improve outcomes, further improvements in delivering that care require tools ...

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Early detection and mitigation of disease recurrence in non-small cell lung cancer (NSCLC) patients is a nontrivial problem that is typically addressed either by rather generic follow-up screening guidelines, self-reporting, simple nomograms, or by m...

DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Burn wounds are most commonly evaluated through visual inspection to determine surgical candidacy, taking into account burn depth and individualized patient factors. This process, though cost effective, is subjective and varies by provider experience...

Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Clinical guidelines integrate latest evidence to support clinical decision-making. As new research findings are published at an increasing rate, it would be helpful to detect when such results disagree with current guideline recommendations. In this ...

Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Inaccurate body weight measures can cause critical safety events in clinical settings as well as hindering utilization of clinical data for retrospective research. This study focused on developing a machine learning-based automated weight abnormality...