Research at Microsoft 2023: A year of groundbreaking AI advances and discoveries
AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. In this review, learn about the advances in 2023, which set the stage for further progress in 2024.
Collaborators: Project InnerEye with Javier Alvarez and Raj Jena
| Gretchen Huizinga, Javier Alvarez-Valle, and Raj Jena
Microsoft Health Futures’ Javier Alvarez & oncologist Raj Jena have been collaborating for years on AI-assisted medical imaging. Today, their work is seeing real-world impact, helping doctors accelerate cancer patients’ access to treatment.
In the news | Microsoft News Centre UK
How AI is helping to shrink waiting times for NHS cancer patients
The National Health Service at Addenbrooke’s Hospital in Cambridge is now able to plan radiotherapy treatments faster than in the past, thanks to AI advances that are cutting wait times. As the NHS approaches its 75th birthday, it continues to…
Accounting for past imaging studies: Enhancing radiology AI and reporting
| Ozan Oktay, Javier Alvarez-Valle, and Matthew Lungren
The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology. The goal in the radiology…
AI and the Future of Health
| Desney Tan
Read about some of our research team’s work to make healthcare more data-driven, predictive, and precise – ultimately, empowering every person on the planet to live a healthier future.
Winner of an RSNA 2022 Trainee Research Prize (opens in new tab): Read the full pre-print on Arxiv [2211.15924] Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT (arxiv.org) (opens in new…
In the news | The Lancet
Bridging the chasm between AI and clinical implementation
Many advances in artificial intelligence (AI) for health care using deep neural networks have been commercialised. But few AI tools have been implemented in health systems. Why has this chasm occurred? Transparency, suitability, and adaptability are key reasons. The deployment…
Awards | Microsoft Global Hackathon 2021
Microsoft Microsoft Global Hackathon 2021 Challenge Winner
Kenji Takeda won either 1st, 2nd, or 3rd place in the Microsoft Global Hackathon 2021 Executive Challenge. The Hackathon Executive Challenges are sponsored by Microsoft leaders in strategic business areas.
Overview Microsoft Research’s Project InnerEye team in Cambridge (UK) worked with University Hospitals Birmingham NHS Foundation Trust to develop deep learning models to analyze anonymized chest X-Rays and chest computed tomography (CT) scans to assist clinicians in determining disease severity, aid decision…