Research

Groundbreaking TACIT Algorithm Offers New Promise in Diagnosing, Treating Cancer

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment of cancer and in the prescription of medicines. As recently published in Nature Communications, Jinze Liu, Ph.D., and Kevin Byrd, D.D.S., Ph.D., created Threshold-based Assignment of Cell Types from Multiplexed Imaging Data (TACIT), which assigns cell identities based on cell-marker expression profiles.

The Many Ways that AI Enters Rheumatology

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential to improve the quantification and characterisation of SSc-ILD, making it a powerful tool for monitoring.

Giving Doctors an AI-Powered Head Start on Skin Cancer

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously, developed by an international team of researchers led by Monash University.

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support medical practice, AI models must be capable of processing multimodal data and have reasoning and problem-solving capabilities that resemble those of humans.

Scientists Argue for More FDA Oversight of Healthcare AI Tools

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical technologies. That is the takeaway from a new report issued to the FDA, published in the open-access journal PLOS Medicine by Leo Celi of the Massachusetts Institute of Technology, and colleagues.

New AI Transforms Radiology with Speed, Accuracy Never Seen Before

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist shortage, a large new study finds.

The findings will be published on Thursday (June 5) in JAMA Network Open.

New Research Finds Specific Learning Strategies can Enhance AI Model Effectiveness in Hospitals

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm. A new study out today from York University found proactive, continual and transfer learning strategies for AI models to be key in mitigating data shifts and subsequent harms.

Research News

Groundbreaking TACIT Algorithm Offers New Promise in Diagnosing, Treating Cancer

The Many Ways that AI Enters Rheumatology

Giving Doctors an AI-Powered Head Start on Skin Cancer

AI Agents for Oncology

Scientists Argue for More FDA Oversight of Healthcare AI Tools

New AI Transforms Radiology with Speed, Accuracy Never Seen Before

New Research Finds Specific Learning Strategies can Enhance AI Model Effectiveness in Hospitals

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