Latest AI and machine learning research in lymphoma for healthcare professionals.
Although there are many treatment options available for depression, a large portion of patients wit...
OBJECTIVE: To assess the feasibility of using non-mydriatic fundus photography in conjunction with a...
Artificial Intelligence (AI) and Machine Learning (ML) can assist producers to better manage recircu...
OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and c...
AIMS: To explore the potential of N-terminal pro-B natriuretic peptide (NTproBNP) in identifying adv...
BACKGROUND: Factors related to depression differ depending on the population studied, and studies fo...
Spontaneous intracerebral hemorrhage (ICH) is a type of stroke less prevalent than ischemic stroke b...
Determining lymphoma subtypes is a crucial step for better patient treatment targeting to potentiall...
Neural Architecture Search (NAS) outperforms handcrafted Neural Network (NN) design. However, curren...
The current study aimed to predict lymphovascular invasion (LVI) using multiple machine learning alg...
OBJECTIVES: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung c...
Understanding the latent disease patterns embedded in electronic health records (EHRs) is crucial fo...
BACKGROUND: Axillary lymph node dissection (ALND) is a standard procedure for early-stage breast can...
Glaucoma is a group of neurodegenerative diseases that can lead to irreversible blindness. Yet, the ...
INTRODUCTION: This study aims to construct a mortality prediction model for patients with non-varice...
This study aimed to develop a deep-learning (DL) based method for three-dimensional (3D) segmentatio...
INTRODUCTION: Artificial intelligence image recognition has applications in clinical practice. The p...
Dedicated brain imaging for cancer patients is seldom recommended in the absence of symptoms. There ...
BACKGROUND: Hypodontia is the most prevalent dental anomaly in humans, and is primarily attributed t...
Sarcopenia is a comprehensive degenerative disease with the progressive loss of skeletal muscle mass...
IMPORTANCE: Convolutional neural networks (CNN) have shown performance equal to trained dermatologis...