Artificial Intelligence

Evaluating algorithms' efficacy often takes a lot more effort, as Johns Hopkins Machine Learning and Healthcare Lab Director Suchi Saria explained, with tips, at the HIMSS Machine Learning and AI for Healthcare Forum.

Researchers found that a model used to distinguish breast cancer cases could be fooled by falsified misleading images.

The goal of the partnership, which also includes UC Berkeley and DLA Piper, is to build a baseline understanding and confidence in a wild-west software market and allow for safer, more responsible deployment of AI and machine learning algorithms.

Chris Young, head of product at Force Therapeutics, talks about the role artificial intelligence has in improving care efficacy, and gives pointers on the usability of digital care management platforms.

Digital technologies are constantly changing. Hardware is getting faster and more efficient. Software can harness these hardware improvements to improve the functionality of technology. And so healthcare staff and citizens will hopefully have access to tools that allow tasks to be completed quicker, or more intuitively according to Dr Pritesh Mistry, King's Fund, UK. 

The system can simultaneously track up to ten persons in five to ten minutes.

As an associate professor at University of California, Berkeley, Dr.

Sebastian Seiguer, CEO of the Johns Hopkins-backed emocha Health, offers a look forward to the lasting effects of the pandemic, and discusses the technology advancements he's looking forward to in 2022.

Dr. Oleg Bess, a practicing physician and CEO of 4medica, discusses how technology and clinical informatics can help solve challenges such as duplication and overlay, and enable more effective decision support.

Experts say home-based advanced care initiatives should consider patients holistically and recognize virtual care as a distinct modality requiring its own strategic investments.