Artificial intelligence: revolutionizing robotic surgery
M Iftikhar, M Saqib, M Zareen… - Annals of Medicine and …, 2024 - journals.lww.com
Robotic surgery, known for its minimally invasive techniques and computer-controlled
robotic arms, has revolutionized modern medicine by providing improved dexterity …
robotic arms, has revolutionized modern medicine by providing improved dexterity …
Artificial Intelligence in Urologic Robotic Oncologic Surgery: A Narrative Review
T Bellos, I Manolitsis, S Katsimperis, P Juliebø-Jones… - Cancers, 2024 - mdpi.com
Simple Summary Robot-assisted surgery facilitates the examination and improvement of
artificial intelligence (AI) integration in surgical processes through the provision of …
artificial intelligence (AI) integration in surgical processes through the provision of …
Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization
The diagnosis of kidney disease often involves analysing urine sediment particles.
Traditionally, urinalysis was performed manually by collecting urine samples and using a …
Traditionally, urinalysis was performed manually by collecting urine samples and using a …
Prediction of maternal health risk with traditional machine learning methods
HB Mutlu, F Durmaz, N Yücel, E Cengil, M Yıldırım - Naturengs, 2023 - dergipark.org.tr
In risky pregnancy, various diseases such as heart, lung, kidney, high blood pressure,
diabetes and liver that pregnant women have before may aggravate the expectant mother's …
diabetes and liver that pregnant women have before may aggravate the expectant mother's …
Automated detection of multi-class urinary sediment particles: An accurate deep learning approach
H Lyu, F Xu, T Jin, S Zheng, C Zhou, Y Cao… - Biocybernetics and …, 2023 - Elsevier
Urine microscopy is an essential diagnostic tool for kidney and urinary tract diseases, with
automated analysis of urinary sediment particles improving diagnostic efficiency. However …
automated analysis of urinary sediment particles improving diagnostic efficiency. However …
Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases
It is a known fact that gastrointestinal diseases are extremely common among the public.
The most common of these diseases are gastritis, reflux, and dyspepsia. Since the …
The most common of these diseases are gastritis, reflux, and dyspepsia. Since the …
An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification
S Akhtar, M Hanif, A Rashid, K Aurangzeb… - IEEE …, 2024 - ieeexplore.ieee.org
Automated urine sediment analyzers play a crucial role in diagnosing urinary tract infections,
offering real-time data analysis and expediting patient diagnosis. This paper introduces a …
offering real-time data analysis and expediting patient diagnosis. This paper introduces a …
Artificial intelligence in the clinical laboratory
H Hou, R Zhang, J Li - Clinica Chimica Acta, 2024 - Elsevier
Laboratory medicine has become a highly automated medical discipline. Nowadays,
artificial intelligence (AI) applied to laboratory medicine is also gaining more and more …
artificial intelligence (AI) applied to laboratory medicine is also gaining more and more …
[PDF][PDF] Intelligenza Artificiale in Medicina: implicazioni e applicazioni, sfide e opportunità
M Vidali - biochimica clinica, 2024 - biochimicaclinica.it
Artificial Intelligence (AI) introduced a new era of possibilities into Medicine and promises
considerable socio-economic benefits and improvements in individual and public health …
considerable socio-economic benefits and improvements in individual and public health …
Multi-class Urinary Sediment Particles Detection based on YOLOv7 with Attention Modules
T Komori, H Nishikawa, K Sasaki, I Taniguchi… - IEEE …, 2024 - ieeexplore.ieee.org
Urine sediment analysis plays a vital role in the evaluation of kidney health. Traditional
machine learning techniques approach the task of urine sediment particle detection as an …
machine learning techniques approach the task of urine sediment particle detection as an …