Cargando…

The future landscape of large language models in medicine

Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate...

Descripción completa

Detalles Bibliográficos
Autores principales:	Clusmann, Jan, Kolbinger, Fiona R., Muti, Hannah Sophie, Carrero, Zunamys I., Eckardt, Jan-Niklas, Laleh, Narmin Ghaffari, Löffler, Chiara Maria Lavinia, Schwarzkopf, Sophie-Caroline, Unger, Michaela, Veldhuizen, Gregory P., Wagner, Sophia J., Kather, Jakob Nikolas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Perspective
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564921/ https://www.ncbi.nlm.nih.gov/pubmed/37816837 http://dx.doi.org/10.1038/s43856-023-00370-1

Ejemplares similares

Classical mathematical models for prediction of response to chemotherapy and immunotherapy
por: Ghaffari Laleh, Narmin, et al.
Publicado: (2022)

Medical domain knowledge in domain-agnostic generative AI
por: Kather, Jakob Nikolas, et al.
Publicado: (2022)

Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
por: Loeffler, Chiara Maria Lavinia, et al.
Publicado: (2022)

Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer
por: Chatterji, Subarnarekha, et al.
Publicado: (2023)

Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans?
por: El Wajeh, Mohammad, et al.
Publicado: (2022)

Adversarial attacks and adversarial robustness in computational pathology
por: Ghaffari Laleh, Narmin, et al.
Publicado: (2022)

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
por: Loeffler, Chiara Maria Lavinia, et al.
Publicado: (2023)

Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning
por: Saldanha, Oliver Lester, et al.
Publicado: (2022)

Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy
por: Buendgens, Lukas, et al.
Publicado: (2022)

Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study
por: Veldhuizen, Gregory Patrick, et al.
Publicado: (2023)

Characterisation of tumour-immune phenotypes and PD-L1 positivity in squamous bladder cancer
por: Jung, Max, et al.
Publicado: (2023)

Artificial intelligence in oncology: chances and pitfalls
por: Kather, Jakob Nikolas
Publicado: (2023)

Harnessing the innate immune system and local immunological microenvironment to treat colorectal cancer
por: Kather, Jakob Nikolas, et al.
Publicado: (2019)

Swarm learning for decentralized artificial intelligence in cancer histopathology
por: Saldanha, Oliver Lester, et al.
Publicado: (2022)

Coilin Phosphomutants Disrupt Cajal Body Formation, Reduce Cell Proliferation and Produce a Distinct Coilin Degradation Product
por: Carrero, Zunamys I., et al.
Publicado: (2011)

Case-Based Serious Gaming for Complication Management in Colorectal and Pancreatic Surgery: Prospective Observational Study
por: Schwarzkopf, Sophie-Caroline, et al.
Publicado: (2023)

Phosphorylation regulates coilin activity and RNA association
por: Broome, Hanna J., et al.
Publicado: (2013)

Deep learning in cancer pathology: a new generation of clinical biomarkers
por: Echle, Amelie, et al.
Publicado: (2020)

Mutant p53 protects ETS2 from non-canonical COP1/DET1 dependent degradation
por: Carrero, Zunamys I., et al.
Publicado: (2016)

Next Generation Imaging Techniques to Define Immune Topographies in Solid Tumors
por: Pietrobon, Violena, et al.
Publicado: (2021)

A framework for artificial intelligence in cancer research and precision oncology
por: Perez-Lopez, Raquel, et al.
Publicado: (2023)

Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
por: Saldanha, Oliver Lester, et al.
Publicado: (2023)

An overview and a roadmap for artificial intelligence in hematology and oncology
por: Rösler, Wiebke, et al.
Publicado: (2023)

Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
por: Nam, David, et al.
Publicado: (2022)

Can ChatGPT explain it? Use of artificial intelligence in multiple sclerosis communication
por: Inojosa, Hernan, et al.
Publicado: (2023)

Large-scale database mining reveals hidden trends and future directions for cancer immunotherapy
por: Kather, Jakob Nikolas, et al.
Publicado: (2018)

Polyphonic sonification of electrocardiography signals for diagnosis of cardiac pathologies
por: Kather, Jakob Nikolas, et al.
Publicado: (2017)

The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
por: Troya, Joel, et al.
Publicado: (2022)

Spatial structure governs the mode of tumour evolution
por: Noble, Robert, et al.
Publicado: (2021)

Coilin participates in the suppression of RNA polymerase I in response to cisplatin-induced DNA damage
por: Gilder, Andrew S., et al.
Publicado: (2011)

New Colors for Histology: Optimized Bivariate Color Maps Increase Perceptual Contrast in Histological Images
por: Kather, Jakob Nikolas, et al.
Publicado: (2015)

Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images
por: Kather, Jakob Nikolas, et al.
Publicado: (2015)

Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome
por: Weis, Cleo-Aron, et al.
Publicado: (2018)

Spinal arthritis in cane toads across the Australian landscape
por: Bower, Deborah S., et al.
Publicado: (2018)

A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
por: Müller-Franzes, Gustav, et al.
Publicado: (2023)

β-TrCP- and Casein Kinase II-Mediated Degradation of Cyclin F Controls Timely Mitotic Progression
por: Mavrommati, Ioanna, et al.
Publicado: (2018)

Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
por: Niehues, Jan Moritz, et al.
Publicado: (2023)

Reinforcement Learning for Precision Oncology
por: Eckardt, Jan-Niklas, et al.
Publicado: (2021)

Semi-supervised learning in cancer diagnostics
por: Eckardt, Jan-Niklas, et al.
Publicado: (2022)

Landscapes and language : English for American academic discourse
por: Cutchin, Kay Lynch
Publicado: (1998)

Cannot write session to /tmp/vufind_sessions/sess_fcs4nuraktssf0evsmkqjrh2vj