Artificial intelligence in dermatology image analysis: current developments and future trends
Z Li, KC Koban, TL Schenck, RE Giunta, Q Li… - Journal of clinical …, 2022 - mdpi.com
Background: Thanks to the rapid development of computer-based systems and deep-
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …
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 …
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …
integration into clinical practice. This review describes the current state of the field, with a …
A call to action to advance patient‐focused and decentralized clinical trials
RD Harvey, TM Miller, PA Hurley, R Thota, LJ Black… - Cancer, 2024 - Wiley Online Library
This commentary is a call to action for a concerted commitment and effort to transform
clinical trials and enable people with cancer to participate in clinical trials closer to home …
clinical trials and enable people with cancer to participate in clinical trials closer to home …
Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis
Background The aim of this study is to provide a comprehensive understanding of the
current landscape of artificial intelligence (AI) for cancer clinical trial enrollment and its …
current landscape of artificial intelligence (AI) for cancer clinical trial enrollment and its …
Utilizing ChatGPT to enhance clinical trial enrollment
Clinical trials are a critical component of evaluating the effectiveness of new medical
interventions and driving advancements in medical research. Therefore, timely enrollment of …
interventions and driving advancements in medical research. Therefore, timely enrollment of …
Implementation and clinical adoption of precision oncology workflows across a healthcare network
D Dias-Santagata, RS Heist, AZ Bard… - The …, 2022 - academic.oup.com
Background Precision oncology relies on molecular diagnostics, and the value-proposition
of modern healthcare networks promises a higher standard of care across partner sites. We …
of modern healthcare networks promises a higher standard of care across partner sites. We …
Future of clinical trial methodology
PS Myles - Anesthesia & Analgesia, 2022 - journals.lww.com
Randomized controlled trials (clinical trials), like all medical research, should create new
knowledge that eventually leads to improvement in patient outcomes. Their value depends …
knowledge that eventually leads to improvement in patient outcomes. Their value depends …
Telemedicine and Cancer Clinical Research: Opportunities for Transformation
Telemedicine represents an established mode of patient care delivery that has and will
continue to transform cancer clinical research. Through telemedicine, opportunities exist to …
continue to transform cancer clinical research. Through telemedicine, opportunities exist to …
Sexual and gender minority invisibility in cancer studies: A call for effective recruitment methods to address cancer disparities
Sexual and Gender Minority Invisibility in Cancer Studies: A Call for Effective Recruitment
Methods to Address Cancer Disparities | Journal of Clinical Oncology Skip to main content …
Methods to Address Cancer Disparities | Journal of Clinical Oncology Skip to main content …