AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Follow-Up Studies

Showing 141 to 150 of 723 articles

Clear Filters

Robot-assisted partial nephrectomy with minimum follow-up of 5 years: A multi-center prospective study in Japan.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: Robot-assisted partial nephrectomy is widely performed for small renal masses, achieving excellent perioperative and intermediate oncological outcomes. However, long-term oncological, functional, and quality of life outcomes after robot-a...

Follow-Up of Robotic Mitral Valve Repair: A Single Tertiary Institution Experience in China.

Computational and mathematical methods in medicine
Surgical treatment of mitral valve diseases has become minimally invasive. This study analyzed the follow-up results of patients after mitral valve repairs (MVRep) using the da Vinci robot. The clinical data of patients who underwent minimally invasi...

Safety of robot-assisted radical prostatectomy in an Italian spoke hospital: Long-term oncologic and functional outcomes with median 11.3 years follow-up.

Urologia
INTRODUCTION: Robot-assisted radical prostatectomy (RARP) long-term oncologic outcomes were published in few studies. This paper provides a complete overview of RARP long-term oncologic and functional results produced in an Italian spoke hospital.

Robotic assistance is technically superior to conventional laparoscopy in hemicolectomies.

The international journal of medical robotics + computer assisted surgery : MRCAS
OBJECTIVE: An objective assessment of robotic assistance in hemicolectomies.

Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease.

Respiratory research
BACKGROUND: The exact risk assessment is crucial for the management of connective tissue disease-associated interstitial lung disease (CTD-ILD) patients. In the present study, we develop a nomogram to predict 3‑ and 5-year mortality by using machine ...

Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Archives of physical medicine and rehabilitation
OBJECTIVE: This study aimed to develop and validate a machine learning-based short measure to assess 5 functions (the ML-5F) (activities of daily living [ADL], balance, upper extremity [UE] and lower extremity [LE] motor function, and mobility) in pa...

Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.

Scientific reports
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without...