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Standardized reporting categorizes breast cancer detection methods

AuntMinnie

A standardized detection reporting system can help radiologists accurately categorize how breast cancer is identified -- either through screening or symptomatic presentation -- when performing image-guided breast biopsies, researchers have found. These included the following: symptomatic presentations, imaging modalities, and other.

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Clinicians need education regarding HCC surveillance resources

AuntMinnie

This includes a perceived lack of diagnostic radiology resources, with ultrasound being the go-to imaging modality for liver surveillance. These include radiology recall systems, electronic medical record dashboards and reminder systems, or organized health-system-level outreach strategies.

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Benefits of Teleradiology to Telehealth

Future Teleradiology

Digital Imaging and Communications in Medicine (DICOM) is used to transmit and store data. If there is a small community facility it can save costs by outsourcing the imaging and diagnosis. PACS is an electronic platform where radiology images that connected with medical automation systems.

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POCUS in the ED: Is Confirmatory RUQ US Still Necessary?

REBEL EM

PMID: 36111140 Clinical Question: In adult patients presenting to the emergency department with suspected biliary disease diagnosed by POCUS, does subsequent confirmatory RUS imaging change surgical management plan compared to decisions made based solely on POCUS findings? Trauma Surg Acute Care Open. 2022;7(1):e000944.

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Predictions for Healthcare AI Entering 2023

Aidoc

Whether it be unleashing genomic sequencing to personalize oncologic treatments or developing an electronic medical records system, the healthcare industry as a whole abides by the highest standards of testing and evaluation prior to welcoming novel solutions that may impact patient lives.

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AI model identifies high-risk lung cancer in nonsmokers

AuntMinnie

A team led by medical student Anika Walia, of Boston University, who will present the study, developed a model called CXR-Lung-Risk using 147,497 chest x-rays of 40,643 asymptomatic smokers and never-smokers from a previous lung cancer screening trial. Axial, noncontrast, low-dose chest CT scan shows a 1.1-cm Ultimately, the U.S.

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Penn Medicine to Present Multiple Clinical Trial Results at 2024 ASCO Annual Meeting

Imaging Technology

According to the Ovarian Cancer Research Alliance, around 70 percent of patients diagnosed with ovarian cancer will have a recurrence. AI in cancer care Deep learning CT-imaging based biomarker to predict immunotherapy response in lung cancer (Abstract 102). and Mitchell L. CT in Hall D1.

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