@theomitsa 11 months ago
https://arxiv.org/abs/2306.09968 ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data #MachineLearning, #DataScience, #ChatGPT @Khulood_Almani @enilev @EstelaMandela @KevinClarity @Shi4Tech @bimedotcom @RLDI_Lamy @Analytics_659 @JagersbergKnut
@Marktechpost 1 year ago
A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains Quick Read: https://www.marktechpost.com/2023/03/30/a-research-group-from-stanford-studied-the-possible-fine-tuning-techniques-to-generalize-latent-diffusion-models-for-medical-imaging-domains/ Paper: https://arxiv.org/pdf/2210.04133.pdf #ArtificialIntelligence #MachineLearning
@NVIDIAHealth 1 year ago
Discover how by relying on data-driven insights, including #MachineLearning models and AI-powered medical devices, #smarthospital can enhance the work of healthcare professionals and hospital management, resulting in a better and faster care. https://nvda.ws/3V1OUuO
@Path_AI 1 year ago
This week @Google introduced a suite of tools designed to make medical images more interoperable. We are encouraged to see that helping develop #artificialintelligence and #machinelearning models around them will be a key element of the initiative. http://tinyurl.com/mvn84bt3
@H2020MyPal 1 year ago
An interesting study recently published in @PalliativeMedJ looks at the use of #MachineLearning models to detect social distress, spiritual pain as well as severe symptoms in end-of-life #cancer patients using data from medical records. Read more here: https://journals.sagepub.com/doi/full/10.1177/02692163221105595
@PinakiLaskar 3 years ago
Why are #machinelearning models trained to make medical decisions that perform at nearly the same level as human experts not in clinical use? https://www.linkedin.com/posts/pinakilaskar_machinelearning-algorithms-deeplearning-activity-6806429189512728576-8Dhl #BigData #Analytics #DataScience #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Coding #100DaysofCode
@andrewdfeldman 3 years ago
Cerebras Systems today announced our collaboration with @AstraZeneca using Cerebras CS-1 to advance drug discovery – specifically training large-scale NLP models to enable rapid medical literature search on PubMed #AI #NLP #pharmatech #pharma #DL #datascience https://twitter.com/CerebrasSystems/status/1386710936891936772
@AmineKorchiMD 4 years ago
✍️Automatic annotation of medical images is the holy grail of #AI in #Radiology. This paper describes #MachineLearning models to generate annotations for review & appeared to expedite annotation with high sensitivity at the expense of specificity. https://link.springer.com/article/10.1007/s10278-019-00299-9?wt_mc=alerts.TOCjournals&utm_source=toc&utm_medium=email&utm_campaign=toc_10278_33_2
@GSCollins 4 years ago
Reporting quality of studies using #MachineLearning models for medical diagnosis by @epi_afro "All studies in this review failed to use reporting guidelines, and a large proportion of them lacked adequate detail..." https://tinyurl.com/s37a59w
@nasmoutiphd 4 years ago
Google developed Coral: a portable neural network accelerator. It will make it possible to use models locally without the need for cloud. Sending data to the cloud is a security risk for sensitive data (eg medical records). #MachineLearning #DataScience https://www.theverge.com/platform/amp/2020/1/14/21065141/google-coral-ai-edge-computing-products-applications-cloud?fbclid=IwAR1xGpoS5u-6qqSKDTBCztUlz5Os8KbFVg3aVTdHEXM1nQmEzvkvubv5BmU
@odsc 4 years ago
MIT develops a system that lets nonspecialists use machine learning models to make predictions for medical research, sales, and more. #DataScience #MachineLearning @MIT https://hubs.ly/H0jJypg0
@odsc 4 years ago
MIT develops a system that lets nonspecialists use machine learning models to make predictions for medical research, sales, and more. #DataScience #MachineLearning @MIT https://hubs.ly/H0jJxzD0