Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
The future of early cancer detection
A proactive approach to detecting cancer at an early stage can make treatments more
effective, with fewer side effects and improved long-term survival. However, as detection …
effective, with fewer side effects and improved long-term survival. However, as detection …
The role of artificial intelligence in early cancer diagnosis
B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …
effective treatment in many tumour groups. Key approaches include screening patients who …
Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
[HTML][HTML] Early lung cancer diagnostic biomarker discovery by machine learning methods
Early diagnosis has been proved to improve survival rate of lung cancer patients. The
availability of blood-based screening could increase early lung cancer patient uptake. Our …
availability of blood-based screening could increase early lung cancer patient uptake. Our …
[HTML][HTML] Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives
Artificial intelligence (AI) is being used to aid in various aspects of the COVID-19 crisis,
including epidemiology, molecular research and drug development, medical diagnosis and …
including epidemiology, molecular research and drug development, medical diagnosis and …
Artificial intelligence in endodontics: current applications and future directions
Introduction Artificial intelligence (AI) has the potential to replicate human intelligence to
perform prediction and complex decision making in health care and has significantly …
perform prediction and complex decision making in health care and has significantly …
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach
B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …