AIMC Topic: Retrospective Studies

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[Research on grading prediction model of traumatic hemorrhage volume based on deep learning].

Zhonghua wei zhong bing ji jiu yi xue
OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.

A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Parkinson is the second most common neurodegenerative disease, mainly related to progressive locomotor alterations caused by dopamine deficiency. The gait kinematic is a principal disease biomarker that associates patterns like the step length, flexe...

Treatment of the hook of hamate fracture with robot navigation: A note on technique.

Acta orthopaedica et traumatologica turcica
OBJECTIVE: The aim of this study was to demonstrate a new robotic technique for the fixation of the fracture of the hook of hamate.

[Two Cases of Unilateral Multifocal Renal Cell Carcinoma Treated with Robot-Assisted Partial Nephrectomy].

Hinyokika kiyo. Acta urologica Japonica
Recently, robot-assisted laparoscopic partial nephrectomy (RAPN) has become a commonly performed surgical treatment for small renal tumors, but for difficult cases, such as those presenting with multiple tumors, there are few institutions with experi...

Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals.

The Journal of international medical research
OBJECTIVES: Early detection of coronavirus disease 2019 (COVID-19) is crucial for patients and public health to ensure pandemic control. We aimed to correlate clinical and laboratory data of patients with COVID-19 and their polymerase chain reaction ...

[The Initial Learning Curve of Robot-assisted Cardiac Surgery].

Kyobu geka. The Japanese journal of thoracic surgery
Initial 37 cases of robot-assisted cardiac surgery were reviewed. The early outcomes were favorable with low transfusion rate and no mortality, but some of the very early cases required reoperation after discharge. In our cohort, in terms of aortic c...

[Robot-assisted Cardiac Surgery Council and Current Status and Future Prospect of Robotic Mitral Valve Surgery in Japan].

Kyobu geka. The Japanese journal of thoracic surgery
The Robot-assisted Cardiac Surgery Council (RACSC) was established in 2015, and consists of the members of three closely related surgical societies and associations. The RACSC conducts the review and approval of applicant surgeons and institutions. A...

A Deep Learning Approach to Predict Conductive Hearing Loss in Patients With Otitis Media With Effusion Using Otoscopic Images.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Otitis media with effusion (OME) is one of the most common causes of acquired conductive hearing loss (CHL). Persistent hearing loss is associated with poor childhood speech and language development and other adverse consequence. However,...

Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders.

Anesthesiology
BACKGROUND: Accurate estimation of surgical transfusion risk is essential for efficient allocation of blood bank resources and for other aspects of anesthetic planning. This study hypothesized that a machine learning model incorporating both surgery-...

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.

Studies in health technology and informatics
Artificial intelligence processes are increasingly being used in emergency medicine, notably for supporting clinical decisions and potentially improving healthcare services. This study investigated demographics, coagulation tests, and biochemical mar...