[HTML][HTML] The intersection of ChatGPT, clinical medicine, and medical education
As we progress deeper into the digital age, the robust development and application of
advanced artificial intelligence (AI) technology, specifically generative language models like …
advanced artificial intelligence (AI) technology, specifically generative language models like …
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 …
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?
On the whole, the US Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic
approach to balancing the benefits and risks of automated decision systems. Yet there is still …
approach to balancing the benefits and risks of automated decision systems. Yet there is still …
[HTML][HTML] A medical ethics framework for conversational artificial intelligence
E Fournier-Tombs, J McHardy - Journal of Medical Internet Research, 2023 - jmir.org
The launch of OpenAI's GPT-3 model in June 2020 began a new era for conversational
chatbots. While there are chatbots that do not use artificial intelligence (AI), conversational …
chatbots. While there are chatbots that do not use artificial intelligence (AI), conversational …
[HTML][HTML] Stuck in translation: Stakeholder perspectives on impediments to responsible digital health
Spurred by recent advances in machine learning and electronic hardware, digital health
promises to profoundly transform medicine. At the same time, however, it raises conspicuous …
promises to profoundly transform medicine. At the same time, however, it raises conspicuous …
Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology
Abstract Full Laboratory Automation is revolutionizing work habits in an increasing number
of clinical microbiology facilities worldwide, generating huge streams of digital images for …
of clinical microbiology facilities worldwide, generating huge streams of digital images for …
Prediction of complications and prognostication in perioperative medicine: a systematic review and PROBAST assessment of machine learning tools
P Arina, MR Kaczorek, DA Hofmaenner… - …, 2024 - pubs.asahq.org
Background The utilization of artificial intelligence and machine learning as diagnostic and
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …
Lifelong nnU-Net: a framework for standardized medical continual learning
As the enthusiasm surrounding Deep Learning grows, both medical practitioners and
regulatory bodies are exploring ways to safely introduce image segmentation in clinical …
regulatory bodies are exploring ways to safely introduce image segmentation in clinical …
A review of the technology, training, and assessment methods for the first real-time AI-enhanced medical device for endoscopy
A Cherubini, NN Dinh - Bioengineering, 2023 - mdpi.com
Artificial intelligence (AI) has the potential to assist in endoscopy and improve decision
making, particularly in situations where humans may make inconsistent judgments. The …
making, particularly in situations where humans may make inconsistent judgments. The …
Interpretable artificial intelligence in radiology and radiation oncology
Artificial intelligence has been introduced to clinical practice, especially radiology and
radiation oncology, from image segmentation, diagnosis, treatment planning and prognosis …
radiation oncology, from image segmentation, diagnosis, treatment planning and prognosis …