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 …

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 …

Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization

K Suhail, D Brindha - Computers in Biology and Medicine, 2024 - Elsevier
The diagnosis of kidney disease often involves analysing urine sediment particles.
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 …

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 …

Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases

S Kiziloluk, M Yildirim, H Bingol, B Alatas - PeerJ Computer Science, 2024 - peerj.com
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 …

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 …

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 …

[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 …

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 …