AIMC Topic: Retrospective Studies

Clear Filters Showing 9281 to 9290 of 9989 articles

EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis.

Clinical and translational medicine
BACKGROUND: Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients at high risk for developing a severe course of the disease is crucial for preventing organ failure and death. Mos...

Preservation of Split Renal Function After Laparoscopic and Robot-assisted Partial Nephrectomy.

Anticancer research
BACKGROUND/AIM: To analyze the effects of laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) for the treatment of renal cell carcinoma (RCC) on subsequent split renal function using renal scintigraphy.

Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.

The Lancet. Digital health
BACKGROUND: Substance misuse is a heterogeneous and complex set of behavioural conditions that are highly prevalent in hospital settings and frequently co-occur. Few hospital-wide solutions exist to comprehensively and reliably identify these conditi...

Artificial Intelligence-Assisted Serial Analysis of Clinical Cancer Genomics Data Identifies Changing Treatment Recommendations and Therapeutic Targets.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Given the pace of predictive biomarker and targeted therapy development, it is unknown whether repeat annotation of the same next-generation sequencing data can identify additional clinically actionable targets that could be therapeutically ...

New Longitudinal Component of the RENAL Nephrometry Score for Predicting the Operative Complexity in Transperitoneal Robot-Assisted Partial Nephrectomy.

Journal of endourology
In transperitoneal robot-assisted partial nephrectomy (RAPN), an L score of 3 points according to the RENAL nephrometry scoring system does not necessarily denote operative complexity. This study aimed to assess the efficacy of the newly defined lon...

Parkland Trauma Index of Mortality: Real-Time Predictive Model for Trauma Patients.

Journal of orthopaedic trauma
OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techniques in lieu of early definitive fracture fixation. Previous models attempted to predict mortality risk but have limited utility. There is a need for...

Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset.

European heart journal. Cardiovascular Imaging
AIMS: To present and validate a fully automated, deep learning (DL)-based branch-wise coronary artery calcium (CAC) scoring algorithm on a multi-centre dataset.

The Prediction of Fall Circumstances Among Patients in Clinical Care - A Retrospective Observational Study.

Studies in health technology and informatics
Standardized fall risk scores have not proven to reliably predict falls in clinical settings. Machine Learning offers the potential to increase the accuracy of such predictions, possibly vastly improving care for patients at high fall risks. We devel...

[Arthroscopic-assisted fracture reduction combined with robot-navigated nail placement to treat talar neck fractures].

Zhonghua yi xue za zhi
This study aims to explore the clinical efficacy of arthroscopic-assisted reduction combined with robot-navigated nail placement in the treatment of talar neck fractures. The clinical data of 13 patients with talar neck fracture in Xuzhou Benevolent ...