Advancements in oncology with artificial intelligence—a review article
Simple Summary With the advancement of artificial intelligence, including machine learning,
the field of oncology has seen promising results in cancer detection and classification …
the field of oncology has seen promising results in cancer detection and classification …
Artificial intelligence and machine learning in emergency medicine: a narrative review
B Mueller, T Kinoshita, A Peebles… - Acute medicine & …, 2022 - Wiley Online Library
Aim The emergence and evolution of artificial intelligence (AI) has generated increasing
interest in machine learning applications for health care. Specifically, researchers are …
interest in machine learning applications for health care. Specifically, researchers are …
External validation of an ensemble model for automated mammography interpretation by artificial intelligence
Importance With a shortfall in fellowship-trained breast radiologists, mammography
screening programs are looking toward artificial intelligence (AI) to increase efficiency and …
screening programs are looking toward artificial intelligence (AI) to increase efficiency and …
Evaluating ChatGPT as an adjunct for the multidisciplinary tumor board decision-making in primary breast cancer cases
S Lukac, D Dayan, V Fink, E Leinert, A Hartkopf… - Archives of Gynecology …, 2023 - Springer
Background As the available information about breast cancer is growing every day, the
decision-making process for the therapy is getting more complex. ChatGPT as a transformer …
decision-making process for the therapy is getting more complex. ChatGPT as a transformer …
Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE …
The measures to control the COVID-19 outbreak will likely remain a feature of our working
lives until a suitable vaccine or treatment is found. The pandemic has had a substantial …
lives until a suitable vaccine or treatment is found. The pandemic has had a substantial …
[HTML][HTML] Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques
Abstract Background and Objective Computer-aided-detection (CAD) systems have been
developed to assist radiologists on finding suspicious lesions in mammogram. Deep …
developed to assist radiologists on finding suspicious lesions in mammogram. Deep …
Improved productivity using deep learning–assisted reporting for lumbar spine MRI
Background Lumbar spine MRI studies are widely used for back pain assessment.
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …
Artificial intelligence for the future radiology diagnostic service
SK Mun, KH Wong, SCB Lo, Y Li… - Frontiers in molecular …, 2021 - frontiersin.org
Radiology historically has been a leader of digital transformation in healthcare. The
introduction of digital imaging systems, picture archiving and communication systems …
introduction of digital imaging systems, picture archiving and communication systems …
Artificial intelligence with deep learning in nuclear medicine and radiology
The use of deep learning in medical imaging has increased rapidly over the past few years,
finding applications throughout the entire radiology pipeline, from improved scanner …
finding applications throughout the entire radiology pipeline, from improved scanner …
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 …