External validation of deep learning algorithms for radiologic diagnosis: a systematic review
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
Designing deep learning studies in cancer diagnostics
A Kleppe, OJ Skrede, S De Raedt, K Liestøl… - Nature Reviews …, 2021 - nature.com
The number of publications on deep learning for cancer diagnostics is rapidly increasing,
and systems are frequently claimed to perform comparable with or better than clinicians …
and systems are frequently claimed to perform comparable with or better than clinicians …
Artificial intelligence for clinical oncology
Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer
care. With recent advances in the field of artificial intelligence (AI), there is now a …
care. With recent advances in the field of artificial intelligence (AI), there is now a …
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment
With growing interest in machine learning (ML), it is essential to understand the
methodologies used for evaluating ML models to achieve reproducible solutions that can be …
methodologies used for evaluating ML models to achieve reproducible solutions that can be …
Artificial intelligence in breast cancer screening: evaluation of FDA device regulation and future recommendations
Importance Contemporary approaches to artificial intelligence (AI) based on deep learning
have generated interest in the application of AI to breast cancer screening (BCS). The US …
have generated interest in the application of AI to breast cancer screening (BCS). The US …
Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre …
Background Pretreatment identification of pathological extranodal extension (ENE) would
guide therapy de-escalation strategies for in human papillomavirus (HPV)-associated …
guide therapy de-escalation strategies for in human papillomavirus (HPV)-associated …
Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
ZHE Zhang, X Wei - Seminars in Cancer Biology, 2023 - Elsevier
The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …
amount of collectable data obtained from high-throughput sequencing has led to an …
Machine learning in oncology: what should clinicians know?
The volume and complexity of scientific and clinical data in oncology have grown markedly
over recent years, including but not limited to the realms of electronic health data …
over recent years, including but not limited to the realms of electronic health data …
Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas
SP Haider, B Burtness, WG Yarbrough… - Cancers of the head & …, 2020 - Springer
Recent advancements in computational power, machine learning, and artificial intelligence
technology have enabled automated evaluation of medical images to generate quantitative …
technology have enabled automated evaluation of medical images to generate quantitative …