Advertisement

Advertisement

Issues in Oncology
AI in Oncology

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...

Sarcoma
AI in Oncology

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 ...

Skin Cancer
AI in Oncology

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...

Breast Cancer
AI in Oncology

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...

prostate cancer
ai in oncology

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).   

ai in oncology

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.

Breast Cancer
AI in Oncology

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...

AI in Oncology

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...

Palliative Care
AI in Oncology

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...

Breast Cancer
Issues in Oncology
AI in Oncology

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...

Skin Cancer
Issues in Oncology
AI in Oncology

AACR 2025: Pretrained AI Models Could Help Accurately Diagnose Nonmelanoma Skin Cancers in Resource-Limited Settings

Artificial intelligence (AI) models pretrained on vast data sets may outperform standard baseline models in identifying nonmelanoma skin cancers from digital images of tissue samples, according to new findings presented by Song et al at the 2025 American Association for Cancer Research (AACR)...

Breast Cancer
AI in Oncology

Patient Support Found for AI Use as Second Reader of Mammograms

A survey study has shown cautious patient support for the use of artificial intelligence (AI) as a second reader in screening mammograms, according to results published in Radiology: Imaging Center.   The study authors sought to determine the sentiments of patients regarding AI use in mammogram...

Hematologic Malignancies
Issues in Oncology
AI in Oncology

Machine Learning Program May Enhance Transplantation Risk Assessment in Patients With Myelofibrosis

A novel machine learning model may outperform standard statistical models in identifying and stratifying transplantation risk among patients with myelofibrosis, according to a recent study published by Hernández-Boluda et al in Blood. Background Although there are several therapies available to...

Lung Cancer
Issues in Oncology
AI in Oncology

AI Integration in Global Programs of CT Screening for Lung Cancer and Other Tobacco-Related Illnesses

A new consortium, the Alliance for Global Implementation of Lung and Cardiac Early Disease Detection and Treatment (AGILE), has proposed a public health program of longitudinal chest computed tomography (CT) screenings among a global high-risk population of tobacco-exposed individuals utilizing...

Prostate Cancer
Issues in Oncology
AI in Oncology

AI Tool May Help to Predict Which Patients With Prostate Cancer May Benefit From Focal Therapy

A novel artificial intelligence (AI) tool, called Unfold AI, may help to determine which men with prostate cancer are most likely to benefit from partial gland cryoablation, according to a recent study published by Brisbane et al in BJUI Compass. The findings may play a key role in improving...

Issues in Oncology
AI in Oncology

Kindness, Mercy, Empathy, Compassion: Are They Relevant in the Era of Robotics and AI?

It’s a fast-paced world, no two ways about it. People move on from one event to another. We have to move on either for our own sake or the sake of someone near and dear. In the medical field, patients come and go, surgeries are performed, treatments are given, and everybody moves on. Being kind to...

Issues in Oncology
AI in Oncology

AI May Boost Efficacy of Cancer Care, but Physicians Remain Critical to Decision-Making, Study Finds

Although artificial intelligence (AI)-assisted radiotherapy may help physicians make more informed decisions when treating patients with cancer, there may be challenges in how physicians work with the technology, according to a recent study published by Niraula et al in Nature Communications. Study ...

Colorectal Cancer
AI in Oncology

ChatGPT Has Limitations in Clinical Utility for Colorectal Cancer but May Be Useful for Patient Education

A study evaluating ChatGPT’s ability to accurately respond to patient inquiries regarding colon cancer by comparing its responses with assessments from expert clinical oncologists found that questions about symptoms, prevention, and screening for the cancer were highly accurate. However, responses...

Solid Tumors
Issues in Oncology
AI in Oncology

Novel AI Platform May Help Identify Patients Likely to Benefit Most From Clinical Trials

Researchers have demonstrated that a novel artificial intelligence (AI)-based platform could aid physicians and patients in assessing the benefit from a particular therapy being tested in a clinical trial, according to a recent study published by Orcutt et al in Nature Medicine. The AI platform may ...

Gynecologic Cancers
AI in Oncology

AI May Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is published in Nature Medicine. “Ovarian tumors are common and are often detected by chance,” said...

Advertisement

Advertisement

Advertisement