Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
Artificial intelligence in oncology: ensuring safe and effective integration of language models in clinical practice
L Verlingue, C Boyer, L Olgiati, CB Mairesse… - The Lancet Regional …, 2024 - thelancet.com
Summary In this Personal View, we address the latest advancements in automatic text
analysis with artificial intelligence (AI) in medicine, with a focus on its implications in aiding …
analysis with artificial intelligence (AI) in medicine, with a focus on its implications in aiding …
[HTML][HTML] AI-Enhanced Virtual Clinics and Telemedicine for Cancer Treatment
H Amiri, M Ghaneiyan, P Farjami, H Mehran… - Kindle, 2024 - preferpub.org
AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …
access to care, diagnostic precision, and personalized treatment options. For patients …
A weakly supervised deep learning framework for whole slide classification to facilitate digital pathology in animal study
The pathology of animal studies is crucial for toxicity evaluations and regulatory
assessments, but the manual examination of slides by pathologists remains time-consuming …
assessments, but the manual examination of slides by pathologists remains time-consuming …
Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation
C Gutierrez, A Owens, L Medeiros, D Dabydeen… - Scientific Reports, 2024 - nature.com
Effective treatment of breast cancer relies heavily on early detection. Routine annual
mammography is a widely accepted screening technique that has resulted in significantly …
mammography is a widely accepted screening technique that has resulted in significantly …
Current state and prospects of artificial intelligence in allergy
The field of medicine is witnessing an exponential growth of interest in artificial intelligence
(AI), which enables new research questions and the analysis of larger and new types of …
(AI), which enables new research questions and the analysis of larger and new types of …
Screening for liver fibrosis: Lessons from colorectal and lung cancer screening
Many countries have incorporated population screening programmes for cancer, such as
colorectal and lung cancer, into their health-care systems. Cirrhosis is more prevalent than …
colorectal and lung cancer, into their health-care systems. Cirrhosis is more prevalent than …
[HTML][HTML] Charting the next road map for CSF biomarkers in Alzheimer's disease and related dementias
Clinical prediction of underlying pathologic substrates in people with Alzheimer's disease
(AD) dementia or related dementia syndromes (ADRD) has limited accuracy. Etiologic …
(AD) dementia or related dementia syndromes (ADRD) has limited accuracy. Etiologic …
Toward a responsible future: recommendations for AI-enabled clinical decision support
S Labkoff, B Oladimeji, J Kannry… - Journal of the …, 2024 - academic.oup.com
Background Integrating artificial intelligence (AI) in healthcare settings has the potential to
benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness …
benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness …
Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research
Background The ethical governance of Artificial Intelligence (AI) in health care and public
health continues to be an urgent issue for attention in policy, research, and practice. In this …
health continues to be an urgent issue for attention in policy, research, and practice. In this …