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A multimodal artificial intelligence (AI) model incorporating multiscale histopathology features was able to predict recurrence risk in patients with early-stage hormone receptor–positive and HER2-negative breast cancer more accurately than the 21-gene recurrence score, Oncotype DX, according to...
Peter Clardy, MD, of Google for Health, described a fundamental challenge facing clinicians in the artificial intelligence (AI) era: AI capabilities are advancing rapidly at the same time clinicians are being asked to make decisions based on an ever-expanding volume of information. In oncology...
The American Association for Cancer Research (AACR) has released the 16th edition of its annual Cancer Progress Report. This comprehensive report provides current data on cancer incidence, mortality, and survivorship. It also outlines how basic, translational, and clinical cancer research and...
In the large, platform-based, independent validation study CATALINA, published by Dixon-Douglas et al in The Lancet Oncology, two artificial intelligence (AI)-derived computational tumor-infiltrating lymphocyte (cTIL) models, which were deployed without retraining or modification, provided...
In addition to searching for breast cancer, artificial intelligence (AI) used in mammography reads may help to detect common cardiovascular diseases, according to study findings presented at the ESC Congress 2026. “Because mammography is already widely used, analyzing the same images for...
Radiation to the thymus was found to be associated with worse outcomes in patients with non–small cell lung cancer (NSCLC), leading to an increased risk of metastasis, according to findings published in the Annals of Oncology. “The thymus is currently not routinely treated as an important organ...
Artificial intelligence (AI) is one of the most transformative technological advancements of our time, poised to revolutionize every aspect of our lives, including health care. On August 28, Cleveland Clinic, in collaboration with the College of Healthcare Information Management Executives (CHIME), ...
The U.S. Food and Drug Administration (FDA) has released a discussion paper regarding factors that go into the regulation of generative artificial intelligence (AI)–enabled medical devices and is asking for public feedback, focusing on areas such as risk assessment, premarket evaluation, and...
AI is one of the most transformative technological advancements of our time, poised to revolutionize every aspect of our lives, including health care. On August 28, 2026, Cleveland Clinic in collaboration with the College of Healthcare Information Management Executives (CHIME), will host the Second ...
Using an artificial intelligence (AI) model, researchers were able to simultaneously predict cancer subtype, TP53 mutation status, and survival outcomes across 32 solid tumors from routine hematoxylin and eosin (H&E)–stained whole-slide images, according to findings published in The American...
A histology-based artificial intelligence (AI) biomarker may help personalize adjuvant chemotherapy selection for patients with resected pancreatic ductal adenocarcinoma, according to the results of a study by Beaufils et al. The investigators developed and validated a deep learning model that...
Researchers have developed and validated an artificial intelligence (AI)-powered liquid biopsy that accurately identified hepatocellular carcinoma (HCC) based on cell-free DNA (cfDNA) fragments in individuals from two distinct populations, according to research findings published in Cell Press...
Researchers from Cleveland Clinic and IBM have jointly developed a framework for using quantum computing to make predictions of antigen presentation and immunotherapy response, according to the study results published in Science Advances. The framework, called Quantum Convolutional HLA Immunogenic ...
Higher tumor cell density in patients with locally advanced rectal cancer receiving irinotecan-intensified neoadjuvant chemoradiotherapy was associated with improved survival outcomes compared with those treated with standard chemoradiotherapy, according to findings from a post-hoc analysis of the...
Mapping bone marrow architecture provided a more accurate view of disease state in myelodysplastic neoplasms (MDS) than molecular or blast-based assessments, according to research findings published in Leukemia. The researchers created an AI-based score to assess disease status and changes over...
According to a diagnostic study reported in JAMA Dermatology by Anriot et al, a modern artificial intelligence (AI) foundation model outperformed less experienced clinicians but did not match the diagnostic performance of expert dermatologists when tested under realistic clinical conditions. The...
Analysis of the tumor microenvironment before and during treatment with the help of artificial intelligence (AI) may aid in predicting response to pembrolizumab in patients with rare cancers, according to findings of a study published in the Journal for ImmunoTherapy of Cancer. “AI-based pathology ...
Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening mammograms evolve over time and differ between women who develop cancer and those who do not, opening the door to a new era of dynamic breast cancer risk assessment. The new...
ASCO has announced a collaboration with Ryght AI aimed at accelerating the identification and activation of research sites for the CDK4/6 Inhibitor Dosing Knowledge (CDK) Study, a clinical trial evaluating different starting doses of CDK4/6 inhibitors in patients with metastatic breast cancer. The...
Researchers have developed and validated an artificial intelligence (AI)‒assisted volumetric response criteria for assessing response in pleural mesothelioma. The AI-backed criteria outperformed both humans and standard international Response Evaluation Criteria in Solid Tumors (RECIST) criteria,...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to their patients’ tumors. These findings were published by Canzoniero et al in Clinical Cancer Research....
Three commercially available radiology artificial intelligence (AI) systems have shown the potential to flag early signs of breast cancer up to 6 years before a diagnosis, according to a Swedish study published by Hickman et al in Radiology. In a retrospective study, researchers tested three...
Synthetic real-world data generated by AI can model treatment patterns and clinical outcomes across large patient cohorts while accelerating clinical trials and drug development, according to Eddy Saad, MD, MSc, a Research Fellow in Medicine at Dana-Farber Cancer Institute. During a presentation...
ASCO has announced a collaboration with Ryght AI aimed at accelerating the identification and activation of research sites for the CDK4/6 Inhibitor Dosing Knowledge (CDK) Study, a clinical trial evaluating different starting doses of CDK4/6 inhibitors in patients with metastatic breast cancer. The...
The ECOG-ACRIN Cancer Research Group, in collaboration with the SWOG Cancer Research Network, has launched a new initiative to analyze paired original and recurrent tumor specimens from two practice-changing breast cancer clinical trials. Through the translational study EA1241, researchers will...
In a recent article in The ASCO Post, we discussed increasing use of artificial intelligence (AI) in oncology and how physician-complementing AI can empower oncologists to be even better at what they do.1The reason AI is needed is that increasingly many variables need to be considered in cancer...
During her Presidential address at the 2025 ASCO Annual Meeting, Robin T. Zon, MD, FACP, FASCO, assessed how artificial intelligence (AI) is driving knowledge into action in the field of oncology, and acknowledged that “we are now at the crossroads of long-imagined possibilities and actionable...
A new study has shown that AI avatar–based digital patient engagement prior to in-person radiation treatment consultations may enable patients to feel more knowledgeable and less stressed than patients who did not engage with an AI avatar, according to findings presented during the Congress of the...
ASCO has certified its first virtual cancer clinic from Color, a company that owns and operates a nationwide, oncologist-led Virtual Cancer Clinic, serving employer, union, health plan, and public sector populations. The ASCO Certified status indicates that the virtual practice meets a high set of...
Researchers from the Department of Urology at Fudan University Shanghai Cancer Center evaluated artificial intelligence (AI)–assisted communications in the preoperative setting to assess its impact on patient anxiety and clinician workload. The performance of the model was assessed in a...
Synapsis AI, a medically trained, large language model (LLM)–based end-to-end system, reduced the time and effort needed to screen for eligible patients to participate in a randomized, interventional phase III clinical trial in patients with polycythemia vera (PV). Use of Synapsis AI also led to...
An agentic artificial intelligence (AI) framework may help researchers gain a better understanding of hidden biological information of tumors, according to a study published in Nature Medicine. “SPARK helps to refine diagnoses, stratify patients more reliably, and make more precise treatment...
In a landmark study published in Gut, Mukherjee et al developed and validated the Radiomics-based Early Detection Model (REDMOD), an automated artificial intelligence (AI) framework that identifies subtle, preclinical imaging signatures of pancreatic ductal adenocarcinoma on routine computed...
Monitoring for relapse with an artificial intelligence (AI)-powered peripheral blood-based tool called AlloHeme demonstrated greater sensitivity in predicting relapse after hematopoietic cell transplantation (HCT) in patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) than ...
Face aging rate, a measure of changes in biological age over time, could serve as a noninvasive prognostic biomarker for determining outcomes in patients with cancer, according to the results of a study published in Nature Communications. “Deriving a Face Aging Rate from multiple, routine facial...
Early-onset of immune checkpoint inhibitor (ICI)–related myocarditis was associated with an increased risk for myocarditis fatality, according to the results of a study presented at the American Association for Cancer Research (AACR) Annual Meeting 2026 (Abstract 5212). The researchers suggested...
An artificial intelligence (AI) model using DNA methylation patterns was able to classify tumors of unknown origin with high accuracy, according to the results of a study presented at the American Association for Cancer Research (AACR) Annual Meeting 2026 (Abstract 3869). “One of the most...
Assessment of machine-learning models tested on Swedish registry data enabled more accurate melanoma diagnosis prediction, with added health-care code, age, sex, and medication information for improved performance, according to the results of a study published in Acta Dermato-Venereologica. “Our...
Researchers have developed an artificial intelligence (AI) tool that can identify small groups of cells most responsible for driving aggressive cancers. The tool, called SIDISH, offers scientists a clearer path to designing targeted therapies by showing which cells inside a tumor are most strongly...
Large language models performed better than physicians at producing accurate and comprehensive oncology pathology report summaries, according to the results of a study published in JCO Clinical Cancer Informatics. Six large language models were tested in the study, and most generated summaries...
Prompting strategies on two large language models improved how the artificial intelligence (AI) interpreted pain and fatigue reported by survivors of childhood cancers for better symptom monitoring and care, according to findings published in Communications Medicine. The study authors noted that...
In a systematic review and meta-analysis published in JAMA Dermatology, Laiouar-Pedari et al evaluated the real-world diagnostic performance of artificial intelligence (AI)–assisted dermoscopy for melanoma detection. The study was undertaken to address a critical gap in the literature: while prior...
An interpretable machine-learning framework, called PRE-Screen-HCC, may predict risk levels for developing hepatocellular carcinoma (HCC) more accurately than publicly available risk scores, according to findings from a large population-based multicentric study published in Cancer Discovery. “Our...
An artificial intelligence (AI) multiagent system demonstrated correct and complete reasoning in determining the use of immunotherapy for patients with non–small cell lung cancer (NSCLC) in the first-line setting, according to findings presented during the first European Society for Medical...
As reported in The Lancet Oncology, Shamai et al have developed an artifical intelligence (AI) model based on digital histopathology slide images and clinical features to predict the Oncotype DX 21-gene recurrence score (RS) in patients with hormone receptor–positive, HER2-negative invasive breast...
Last October, the Cancer AI Alliance (CAIA) announced the launch of its collaborative artificial intelligence (AI) platform powered by federated learning to train AI models with millions of de-identified patient datasets from participating cancer centers, while maintaining patient security,...
The promise of artificial intelligence (AI) technologies to provide highly personalized oncology care for patients and improve outcomes has been decades in the making. In a 1987 editorial in The New England Journal of Medicine, pioneering nephrologist and health economist William B. Schwartz, MD,...
A multipronged artificial intelligence (AI)–assisted approach integrated into routine molecular profiling identified 3.1% of cases submitted as lung squamous cell carcinoma as metastases from other origins, revealing a meaningful rate of misdiagnosis in this patient population, according to a...
Three education sessions presented during the 2025 ASCO Annual Meeting showcased how artificial intelligence (AI) is quickly transforming cancer care from clinical trial planning and ambient scribes transcribing physician-patient conversations to therapeutic decision-making. The meeting also...
Biomarker discovery in colorectal cancer has traditionally focused on identifying molecular alterations with broad prognostic or predictive utility. However, evidence is increasingly suggesting that biomarkers do not have universal prognostic or predictive value across patient sets but instead...