BrainX Waves: The Newsletter of BrainX Community

August 2024: Issue 2

Aug 13, 2024

Learn

Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation

Physicians are increasingly burdened with medical documentation, impacting patient interactions and contributing to burnout. To combat this issue, the Permanente Medical Group introduced ambient AI scribes that use smartphone microphones to transcribe real-time conversations without recording audio.

These AI tools have been used by 3,442 physicians and more than 300,000 patient visits. Physicians provided favourable feedback, indicating improved patient interactions and reduced administrative work. Continuous advancements are necessary to increase accuracy and the dynamic of a physician-patient relationship.

Join us for the next BrainX Community Live event featuring this publication and learn more….

BrainX Community Live! August 2024: Implementing Ambient AI Scribe in Healthcare

August 21, 2024; 11 am – noon EST via Zoom

Click here to Register

Learn More

Connect

BrainX Community Live! July 2024: Foundation model applications in Pathology

Live session featuring a presentation by Dmitry Nechaev, Chief AI Scientist at HistAI (https://www.hist.ai), on the development of a family of foundation models for digital pathology called Hibou. The models are trained on large datasets of pathology images and can be used to predict diagnoses, segment tumors, and more. The models are available through HistAI’s platform, CDx. This event was moderated by Dr. Rama Gullapalli, Associate Professor, Department of Pathology, University of New Mexico (UNM).

Connect More

Datasets

CTO Dataset: A Clinical Trial Outcome Benchmark

The largest trial outcome dataset with around 479K clinical trials, aggregating outcomes from multiple sources of weakly supervised labels, minimizing the noise from individual sources, and eliminating the need for human annotation.

World Health Organization Data Collections

The World Health Organization manages and maintains a wide range of data collections related to global health and well-being as mandated by the Member States.

More Data

Podcast

In this episode, Dr. Rashidi shares how he merges his passion for patient care, research, and education with his expertise in bioinformatics and machine learning (ML) to create groundbreaking tools and resources. His journey, from graduate studies at UCSD to leadership roles at Cleveland Clinic and UPMC, highlights his development of innovative AI platforms like MILO, STNG, and Pitt-GPT.

Dr. Rashidi's work has led to numerous patents, popular bioinformatics textbooks, and widely used clinical applications, earning him international recognition in the AI-ML and digital health space.

Listen More