[HTML][HTML] Chatbot for health care and oncology applications using artificial intelligence and machine learning: systematic review
L Xu, L Sanders, K Li, JCL Chow - JMIR cancer, 2021 - cancer.jmir.org
Background: Chatbot is a timely topic applied in various fields, including medicine and
health care, for human-like knowledge transfer and communication. Machine learning, a …
health care, for human-like knowledge transfer and communication. Machine learning, a …
Deep learning-enabled medical computer vision
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …
potential for many fields—including medicine—to benefit from the insights that AI techniques …
Multimodal machine learning in precision health: A scoping review
Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …
sector including utilization for clinical decision-support. Its use has historically been focused …
Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review
R Daneshjou, MP Smith, MD Sun… - JAMA …, 2021 - jamanetwork.com
Importance Clinical artificial intelligence (AI) algorithms have the potential to improve clinical
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
Human–computer collaboration for skin cancer recognition
The rapid increase in telemedicine coupled with recent advances in diagnostic artificial
intelligence (AI) create the imperative to consider the opportunities and risks of inserting AI …
intelligence (AI) create the imperative to consider the opportunities and risks of inserting AI …
[HTML][HTML] Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Background Multiple studies have compared the performance of artificial intelligence (AI)–
based models for automated skin cancer classification to human experts, thus setting the …
based models for automated skin cancer classification to human experts, thus setting the …
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 …
[HTML][HTML] Characteristics of publicly available skin cancer image datasets: a systematic review
D Wen, SM Khan, AJ Xu, H Ibrahim, L Smith… - The Lancet Digital …, 2022 - thelancet.com
Publicly available skin image datasets are increasingly used to develop machine learning
algorithms for skin cancer diagnosis. However, the total number of datasets and their …
algorithms for skin cancer diagnosis. However, the total number of datasets and their …
Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin …
This article describes the design, implementation, and results of the latest installment of the
dermoscopic image analysis benchmark challenge. The goal is to support research and …
dermoscopic image analysis benchmark challenge. The goal is to support research and …
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international …
Background Whether machine-learning algorithms can diagnose all pigmented skin lesions
as accurately as human experts is unclear. The aim of this study was to compare the …
as accurately as human experts is unclear. The aim of this study was to compare the …