Physician-Complementing Artificial Intelligence in Oncology
Use of artificial intelligence (AI) in oncology is advancing rapidly. AI was first used for reading radiology images and analyzing pathology slides. More recently, use of AI has expanded to analyzing large clinical data sets (big data). The next envisioned role for AI in oncology encompasses many ...
Experts Outline Roadmap for Clinical Implementation of AI in Pediatric CNS Tumor Management
A subcommittee of the RAPNO (Response Assessment in Pediatric Neuro-Oncology) consortium that is focused on artificial intelligence (AI-RAPNO) has released guidance on the responsible implementation of AI in pediatric neuro-oncology in the form of a two-part policy review published in The Lancet...
Deep Learning and Mammography for Identifying Interval Breast Cancers
A deep learning algorithm developed for processing digital screening mammograms, Mirai, was able to detect interval breast cancers and identify women who would benefit from more frequent screenings, according to the results of a UK retrospective study published in Radiology. “If we called back 20% ...
Cancer Data Scientist Joins Translational Research Institute at Cedars-Sinai
Eytan Ruppin, MD, PhD, has been appointed Deputy Director of the Translational Research Institute as well as Director of Integrative Data Sciences in the Division of Surgical Research at Cedars-Sinai Cancer. “We are delighted to welcome Dr. Ruppin to Cedars-Sinai as a prestigious senior scientist ...
How the Proliferation of Fraudulent Scientific Papers Is Threatening the Integrity of Cancer Research
There is a perception among many scientists that scientific fraud is a rare occurrence, resulting from the actions of a few isolated bad actors. However, an extensive investigation by Reese A.K. Richardson, PhD, postdoctoral fellow at the Center for Science of Science and Innovation, Kellogg School ...
How Embedding an Algorithm-Based Referral System Into Electronic Health Records Is Increasing Access to Palliative Care
Despite numerous studies showing the benefits of integrating palliative care in both the early- and advanced-stage cancer settings,1 palliative care remains underutilized for most patients with cancer. A recent study by the American Cancer Society found that only 10% of Medicare beneficiaries with...
ESMO Publishes Guidance on Large Language Model Use for Oncology Practice
The European Society for Medical Oncology (ESMO) has released its first set of recommendations for the use of artificial intelligence (AI) large language models in oncology practice, called the ESMO Guidance on the Use of Large Language Models in Clinical Practice (ELCAP). The guidance was...
$16 Million PRISM Trial Will Explore AI in Breast Cancer Screening
The University of California, Los Angeles (UCLA) and UC Davis will co-lead a newly funded, multi-institutional clinical trial to evaluate whether artificial intelligence (AI) can help support radiologists in interpreting mammograms more accurately, with the goal of improving breast cancer screening ...
Cutaneous Squamous Cell Carcinoma: AI Model Rivals Dermatologists in Differentiation Assessment
Performance of a convolutional neural network in determining differentiation levels of cutaneous squamous cell carcinomas was on par with that of experienced dermatologists, according to the results of a recent study published in JAAD International. “This type of cancer, which is a result of...
AI Shear Wave Elastography Model for Diagnosing Breast Cancer in BI-RADS 3 or 4 Masses
In a study (INSPiRED 006) reported in the Journal of Clinical Oncology, Cai et al found that an artificial intelligence–guided shear wave elastography (AI-SWE) model provided accuracy similar to expert reading of B-mode ultrasound in the diagnosis of breast cancer in women with Breast Imaging...
How the AI-Powered ASCO® Guidelines Assistant Is Improving Clinical Decision-Making
This past May, ASCO announced its collaboration with Google Cloud to launch the ASCO® Guidelines Assistant, a new interactive tool that allows clinicians to quickly access ASCO’s evidence-based clinical guidelines to facilitate critical clinical decision-making. Developed with Google Cloud’s Vertex ...
How to Adapt to the Era of AI and the Changing Interactions With Patients: Lessons From a Low-Resource Setting
After 2 decades of practicing medicine across multiple disciplines and health systems, I’ve witnessed the dramatic transformation of patient-physician interactions, and none more dramatic than what I’m seeing in this era of artificial intelligence (AI) and its impact on cancer care. Early in my...
Routine AI Assistance May Lead to Loss of Skills in Endoscopists, Study Shows
The introduction of artificial intelligence (AI) to assist colonoscopies may be linked to a reduction in the ability of endoscopists to detect adenomas in the colon without AI assistance, according to a paper published by Budzyń et al in The Lancet Gastroenterology & Hepatology. Colonoscopy...
RSNA Challenge AI Models Enhance Mammography Detection of Invasive Breast Cancer
Various artificial intelligence (AI) algorithms submitted as part of a challenge demonstrated the ability to identify different breast cancers during screening mammography, according to the results of a study published in Radiology. Ensemble models of the top submitted algorithms indicated that the ...
LLM Trained on Somatic Mutations Shows Prognostic and Predictive Utility
Large language models (LLMs) can be trained to understand how each patient’s somatic mutations impact their cancer prognosis and possible response to therapy, according to a presentation at the AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning. John-William...
Classifying Pancreatic Cysts Using AI Models
In a proof-of-concept study published in the Journal of the American College of Surgeons, researchers investigated whether artificial intelligence (AI) models such as ChatGPT-4 can be used to accurately extract and classify diagnostic data from radiologic imaging reports of pancreatic cysts. The...
Online AI Tool Offers Rapid, Accurate Diagnosis for Endocrine Cancers
Researchers have developed a novel AI-powered online platform for diagnosing endocrine cancers with speed and accuracy. The AI models achieved diagnostic accuracy of 99% or more in recognizing multiple endocrine tumors. Reports of the development and validation of the models were presented at ENDO...
AI-Enhanced PACT as a Noninvasive Breast Imaging Alternative
Panoramic photoacoustic computed tomography (PACT) with machine learning assistance could be a safe, noninvasive, and sensitive alternative to mammography, ultrasound, and magnetic resonance imaging (MRI) for breast cancer screening, according to study results that were published in Nature...
Study Finds AI Chatbots Are Vulnerable to Spreading Malicious, False Health Information
While artificial intelligence (AI) large language models (LLMs) hold the promise to help consumers find trustworthy health information, a study assessing the safeguards incorporated into these models has found that they are vulnerable to malicious instruction that converts them into health...
Digital Histopathology and Automated Classification of Pediatric Sarcomas
With more than 50 different subtypes, pediatric soft-tissue sarcomas represent a broad category of disease. And given the rarity of these sarcomas, “it is difficult for pathologists to see a sufficient volume to gain expertise across all variants,” stated Adam Thiesen, BA, MD/PhD Candidate at UConn ...
Pathology Machine-Learning Models and Diagnosis of Nonmelanoma Skin Cancers in Resource-Limited Settings
Artificial intelligence (AI) models, which were pretrained on vast data sets, outperformed a standard baseline model in identifying nonmelanoma skin cancers from digital images of tissue samples, based on a session presented during the 2025 American Association for Cancer Research (AACR) Annual...
Study Shows Potential Benefits of AI-Assisted Classification in HER2-Low and HER2-Ultralow Breast Cancer
With the approval of HER2-targeted antibody-drug conjugate options for treating patients with breast cancer across different HER2 expression levels, accurate assessment of HER2 expression has become more important than ever. And a recent study may provide a solution to the challenge of accurate...
Nicholas D. James, PhD, FRCP, MBBS, on Using AI to Identify Benefit From Prostate Cancer Therapy
Nicholas D. James, PhD, FRCP, MBBS, of The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, describes the use of a multimodal artificial intelligence (AI) model to identify benefit from second-generation androgen receptor pathway inhibitors in patients with high-risk nonmetastatic prostate cancer participating in the STAMPEDE trial (Abstract 5001).
Clifford A. Hudis, MD, FASCO, FACP, on ASCO Guidelines Assistant
Clifford A. Hudis, MD, FASCO, FACP, Chief Executive Officer of ASCO, discusses ASCO Guidelines Assistant, an AI-based collaboration between ASCO and Google Cloud which draws from ASCO’s evidence-based, published clinical practice guidelines, offering clinicians ready access to timely, trustworthy information.
Use of AI Assistance to Improve HER2 Breast Cancer Classifications
The accuracy of HER2 breast cancer scoring improved with the use of AI assistance, especially for patients with low and ultralow levels of HER2 expression, results from a multinational study showed. The findings were presented in a press briefing ahead of the 2025 ASCO Annual Meeting (Abstract...
ASCO and Google Cloud Announce AI-Powered Tool That Provides Faster, Interactive Access to ASCO’s Evidence-Based Clinical Guidelines
ASCO and Google Cloud have announced a collaboration to launch an artificial intelligence (AI)-based ASCO Guidelines Assistant. Developed with Google Cloud’s Vertex AI platform and Gemini models, the tool is poised to transform how oncology professionals access and use critical clinical...
AI Model Estimates Biological Age and Predicts Survival in Patients With Cancer
FaceAge, a deep learning system, was developed and validated to estimate biological age from photographs of faces. In a study published in The Lancet Digital Health, FaceAge showed the ability to predict short-term outcomes in patients with cancer. The study demonstrated that FaceAge could...
Collaborative Strategy Involving AI, Human Task-Sharing Could Help Minimize Mammogram Costs
When screening for breast cancer, the most effective strategy to utilize artificial intelligence (AI) may involve collaboration with human radiologists, according to a recent study published by Ahsen et al in Nature Communications. The findings could help shape how hospitals and clinics integrate...
