The Diagnostic Imaging AI (artificial intelligence) focus page provides information, videos, podcasts, and the latest news about product developments, trial results, screening guidelines, and protocol guidance that touch on the development and use of AI across the healthcare continuum.
February 17th 2025
In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.
2025 GU Satellite Symposia in San Francisco
February 13-14, 2025
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Community Practice Connections™: The 2nd Annual Hawaii Lung Cancers Conference®
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18th Annual New York GU Cancers Congress™
March 28-29, 2025
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Clinical Case Vignette Series™: 41st Annual Miami Breast Cancer Conference®
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Medical Crossfire®: How Can Thoracic Teams Facilitate Optimized Care of Patients With Stage I-III EGFR Mutation-Positive NSCLC?
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Lung Cancer Tumor Board®: How Do Emerging Data for ICIs, BiTEs, ADCs, and Targeted Strategies Address Unmet Needs in the Therapeutic Continuum for SCLC?
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26th Annual International Lung Cancer Congress®
July 25-26, 2025
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2025 International Symposium of Gastrointestinal Oncology (ISGIO)
September 12-13, 2025
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Lung Cancer Tumor Board: Enhancing Precision Medicine in NSCLC Through Advancements in Molecular Testing and Optimal Therapy Selection
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(CME Credit Only) Lung Cancer Tumor Board®: The Pivotal Role of Multimodal Therapy in Leveraging Immunotherapy for Stage I-III NSCLC When the Goal Is Cure
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(MOC and CME Credit) Lung Cancer Tumor Board®: The Pivotal Role of Multimodal Therapy in Leveraging Immunotherapy for Stage I-III NSCLC When the Goal Is Cure
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(CME Credit Only) New Frontiers in Immunotherapy for SCLC: Insights From Latest Clinical Trials and Their Application in Real-World Treatment
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(MOC and CME Credit) New Frontiers in Immunotherapy for SCLC: Insights From Latest Clinical Trials and Their Application in Real-World Treatment
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43rd Annual CFS: Innovative Cancer Therapy for Tomorrow®
November 12-14, 2025
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20th Annual New York Lung Cancers Symposium®
November 15, 2025
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Annual Hawaii Cancer Conference
January 24-25, 2026
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AI Radiology ROI Calculator Study Projects 451 Percent ROI Over Five Years
March 18th 2024Incorporating an artificial intelligence (AI) platform into the radiology workflow at a stroke management-accredited hospital may lead to projected savings of 78 days in triage time and 41 days in reporting time for radiologists over a five-year period, according to new research.
What New Research Reveals About ChatGPT and Ultrasound Detection of Thyroid Nodules
March 13th 2024In a comparison of image-to-text large language models (LLMs), ChatGPT 4.0 offered a 95 percent sensitivity rate and an 83 percent AUC that were comparable to that of two senior radiologists and one junior radiologist interacting with LLM to differentiate between malignant and benign thyroid nodules on ultrasound.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
ECR Study Finds Mixed Results with AI on Breast Ultrasound
March 6th 2024While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.
Can Deep Learning Bolster Image Quality with Low-Dose Lung CT?
March 4th 2024In comparison to standard-dose lung CT, the combination of deep learning image reconstruction with ultra-low-dose CT offered similar detection and characterization of pulmonary nodules at a nearly 93 percent reduction of radiation dosing, according to new research.
Can Autonomous AI Help Reduce Prostate MRI Workloads Without Affecting Quality?
March 1st 2024Based on findings from a multicenter study of over 1,600 patients, researchers at the European Congress of Radiology suggest the inclusion of autonomous artificial intelligence (AI) triage could facilitate up to a 75 percent reduction in prostate MRI reading workload.
AMA Issues New CPT Code for AI Estimates of CCTA-Based Fractional Flow Reserve
February 26th 2024Clinicians can bill Category 1 CPT Code 75580 for adjunctive use of the artificial intelligence (AI)-powered Cleerly Ischemia software for fractional flow reserve estimates based on coronary computed tomography angiography (CCTA) scans.
Can AI Enhance MRI Detection of Amyloid-Related Abnormalities in Patients with Alzheimer's Disease?
February 14th 2024The adjunctive use of AI software led to 16 percent and 10 percent increases in sensitivity rates for the detection of ARIA-E and ARIA-H, respectively, in patients with Alzheimer’s disease, according to newly published research.
FDA Clears AI Software for Liver Attenuation on Abdominal CT
February 13th 2024The AI-enabled HealthFLD software demonstrated a 77.8 percent sensitivity rate and a 93.2 percent specificity rate for diagnosing moderate hepatic steatosis on contrast-enhanced CT scans in a recent study of over 2,900 patients.
FDA Clears AI Software for Assessing Intracerebral Hemorrhage on Non-Contrast CT
February 12th 2024Facilitating timely diagnosis and intervention for brain bleeds, the artificial intelligence (AI)-powered Viz ICH Plus software may provide quantified assessment for intracranial hyperdensities, lateral ventricles and midline shifts.
Can Multimodality AI Enhance CT Detection of Medium Vessel Occlusions?
February 8th 2024The use of multiple artificial intelligence (AI) modalities to assess blood vessel density reduction and computed tomography perfusion (CTP) mismatch values facilitated a 93.3 percent detection rate for medium vessel occlusions, according to research presented recently at the International Stroke Conference.
Adjunctive AI Powered Tool for Tuberculosis Detection Gets FDA's Breakthrough Device Designation
February 5th 2024With reported increases in tuberculosis cases after the COVID-19 pandemic, the qSpot-TB adjunctive artificial intelligence (AI) device may facilitate improved diagnosis of the disease on chest X-rays.
FDA Clears AI-Powered Digital Cytology Platform for Cervical Cancer
February 2nd 2024Combining advanced volumetric imaging technology with deep learning, the Genius Digital Diagnostics System has reportedly shown a 28 percent reduction in false negatives for high-grade squamous intraepithelial lesions and other severe lesions in comparison to microscopic review.
Study: Deep Learning Reconstruction Reduces Effective Dosing for CT Colonography by 83 Percent
January 31st 2024Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.
3D Hip CT AI Model Bolsters Future Fracture Risk Assessment for Patients with Hip Fractures
January 30th 2024Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.