Large language models (LLMs) performed poorly in navigating early clinical diagnostic uncertainty
1. Rao and colleagues evaluated the clinical reasoning performance of 21 off-the-shelf LLMs across 29 standardized clinical vignettes. 2. While ...
Tag: machine learning
NVIDIA GTC 2026 unveils Isaac GR00T foundation model for surgical robotics
1. NVIDIA introduced the Isaac GR00T foundation model to enable adaptive and autonomous robotic systems in surgical and industrial environments. ...
Roche and NVIDIA deploy the pharmaceutical industry’s largest artificial intelligence factory
1. Roche has launched one of the largest artificial intelligence infrastructures in the pharmaceutical industry, powered by over 3,500 NVIDIA ...
![2MM: AI Roundup- AI Cancer Test, Smarter Hospitals, Faster Drug Discovery, and Mental Health Tech [May 2nd, 2025]](https://www.2minutemedicine.com/wp-content/uploads/2025/05/Untitled-design-350x250.png)
2MM: AI Roundup – Roche and NVIDIA’s AI drug discovery factory and surgical robotics foundation model, Amazon’s nationwide health AI expansion, and Brown’s AI therapy ethics warning [March 2026]
Roche and NVIDIA deploy the pharmaceutical industry's largest AI factory A major leap in computational drug development has emerged with ...
Smartphone-based digital ruler achieved high diagnostic performance for strabismus screening
1. Wang and colleagues developed a system that uses deep learning algorithms to analyze cover tests recorded by suspected strabismus ...
Deep-learning models displayed expert-level accuracy in detecting epileptiform discharges on electroencephalogram (EEG) recordings
1. Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model ...
Ambient artificial intelligence effectively reduced work exhaustion among healthcare providers
1. Afshar and colleagues evaluated an artificial intelligence (AI) scribe’s ability to produce clinical documentation and alleviate work exhaustion. 2. ...
Large language models (LLMs) substantially improved patient comprehension of discharge summaries
1. Kumar and colleagues assessed LLM’s ability to translate discharge summary notes into plain language to improve patient comprehension. 2. ...
Machine learning models effectively screened for Parkinson’s disease using smile videos
1. Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The ...
A machine learning predictive model accurately predicts the incidence of anastomotic leakage following colon resection
1. An integrative machine learning predictive model based on individual base models can accurately predict the incidence of anastomotic leakage ...
