What You Should Know:
– DeepScribe, a pioneer in AI-powered medical documentation, today announced a collaboration with Amazon Web Services (AWS) aimed at accelerating the secure scaling of large language models (LLMs) within the healthcare…
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Bonfire Analytics Closes its First Venture Round to Scale its AI-Driven Sales Intelligence Platform for Healthtech Companies along with Building a Powerful Foundational Dataset Consisting of 300M+ Lives Worth of Medical & Prescription Claims,…
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Researchers from Johns Hopkins and Columbia University presented a groundbreaking technique at the Neural Information Processing Systems Conference to enhance AI and ML models’ performance in medical note analysis. Addressing the challenge of dataset…
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Digital Health Intelligence has released a large dataset indicating where English trusts and ICSs are ranked with regard to digital maturity. Levelling up digital maturity continues to be a key focus for the NHS, evident…
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Accenture announced it has made a strategic investment, through Accenture Ventures, in QuantHealth, an AI-powered clinical trial design company that simulates clinical trials in the cloud, allowing pharmaceutical and biotech companies to more quickly and…
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Te Whatu Ora on the look for clinical coding AI suppliersTe Whatu Ora is seeking suppliers to join its AI-assisted clinical coding pilots for hospital admissions.
The said pilot aims to verify whether AI techniques help…
The World Health Organization (WHO) has issued new guidelines on “person-centred” HIV strategic information as part of its latest policy brief on digital health data.The guidelines are meant to help countries improve the ways…
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New AI app for facial palsy screeningComputer scientists from Australia and Iraq have developed an AI-based diagnostic tool to detect facial palsy.
They have come up with a detection system for facial palsy featuring a…
The UEF Cancer AI team launched a challenge for estimating breast density from mammograms. Addressing limitations in existing tools, the challenge seeks innovative deep-learning architectures. Participants work with a dataset of 569 mammogram images,…
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Preoperative knowledge of expected postoperative pain can help guide perioperative pain management and focus interventions on patients with the greatest risk of acute pain. However, current methods for predicting postoperative pain require patient and…
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