Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: Deep learning algorithms were used to develop a model for predicting the staging and grad...
The whole healthcare system is evolving fast due to environmental pressure related to pandemics, cli...
Breast cancer is the most commonly diagnosed cancer and registers the highest number of deaths for w...
PURPOSE: Understanding treatment patterns and effectiveness for patients with metastatic prostate ca...
The object in this study is to develop an artificial intelligence-based deep learning algorithm for ...
PURPOSE OF REVIEW: Robot-assisted laparoscopic staging (RALS) is increasingly used for staging epith...
BACKGROUND/AIM: Ewing sarcoma is a highly malignant tumour predominantly found in children. The radi...
PURPOSE: Natural language processing (NLP) applied to radiology reports can help identify clinically...
Inguinal lymph node status is the single most important prognostic factor for survival in patients w...
Immunotherapy offers the potential for durable clinical benefit but calls into question the associat...
RATIONALE: Extrauterine leiomyoma occasionally occurs in rare locations with unusual growth patterns...
UNLABELLED: Intratumoral heterogeneity arising from tumor evolution poses significant challenges bio...
Discovering rare cancer driver genes is difficult because their mutational frequency is too low for ...
Recently, robot-assisted laparoscopic partial nephrectomy (RAPN) has become a commonly performed sur...
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (I...
Breast conserving surgery aims at the complete removal of malignant lesions while minimizing healthy...
A computed tomography (CT)-guided robotic assistance system is useful for needle insertion into meta...
The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and spurred furth...
Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue typ...
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the ...
Finding a low dimensional representation of data from long-timescale trajectories of biomolecular pr...