Imaging Technology

APRIL 21, 2023

C-COMM is a modernized rendition of the Outpatient Electronic Medical Record Adoption Model, which measured digital maturity of outpatient clinics. “The majority of the world’s population seek their health services outside the traditional hospital setting,” said Toni Laracuente , HIMSS Sr.

Electronic Medical Record 94

Electronic Medical Record Healthcare Healthcare Hospital 94

Imaging Technology

JULY 13, 2023

Meanwhile, 77 reports generated after April 1, 2020 used a synoptic report—list of 45 anatomic sites relevant to ovarian cancer management, each classified in terms of disease absence versus presence. Gynecologic oncology surgeons were electronically surveyed.

Electronic Medical Record 52

Electronic Medical Record Computed Tomography Disease Communication 52

Imaging Technology

AUGUST 23, 2024

is the upgraded version of Nanox.AI’s cardiac solution, HealthCCSng, which has already shown tangible results in several healthcare systems, identifying patients at high risk of coronary artery disease while driving significant revenue to cardiology departments. HealthCCSng V2.0

Picture Archiving and Communication System 52

Picture Archiving and Communication System Electronic Medical Record Imaging PACS 52

REBEL EM

SEPTEMBER 11, 2023

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. Published 2022 Sep 2.

Ultrasound 68

Ultrasound Electronic Medical Record Disease PACS 68

Aidoc

JUNE 5, 2024

Integration with EMRs: By cross-referencing electronic medical records (EMRs), the AI evaluates clinical factors related to the specific condition, determining whether the finding is new and requires follow-up. Aidoc assists in identifying patients who require IVC filter removal, helping to prevent these avoidable outcomes.

Patient Care 59

Patient Care Electronic Medical Record Communication Clinic 59

Aidoc

JANUARY 3, 2023

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.

Healthcare 52

Healthcare Healthcare Hospital Inpatient 52

AuntMinnie

NOVEMBER 22, 2023

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. of these patients later had a diagnosis of lung cancer, according to the findings.

Electronic Medical Record 321

Electronic Medical Record X-ray Disease Medical 321

Aidoc

APRIL 21, 2024

By enabling personalized care, increasing disease awareness and streamlining processes, AI in healthcare creates a win-win situation for both patients and providers. Instead of just analyzing images, AI will increasingly combine them with a patient’s clinical history from their electronic medical records (EHR).

Healthcare 52

Healthcare Healthcare Picture Archiving and Communication System Quality and Compliance 52

Imaging Technology

MAY 29, 2024

Since immunotherapy has proved beneficial for patients with advanced disease, this study assessed whether adding immunotherapy to chemotherapy and radiation could improve pathologic complete response (pCR) at surgery for patients with less-advanced esophageal cancer.

Clinic 111

Clinic Electronic Medical Record Radiation Radiation Oncology 111

Imaging Technology

NOVEMBER 22, 2023

For the study, CIRC researchers set out to improve lung cancer risk prediction in never-smokers by testing whether a deep learning model could identify never-smokers at high risk for lung cancer, based on their chest X-rays from the electronic medical record. of these patients later had a diagnosis of lung cancer.

Electronic Medical Record 105

Electronic Medical Record X-ray Disease Medical 105

AuntMinnie

MARCH 3, 2024

VIENNA - A deep-learning algorithm used with chest CT can help clinicians quantify patients' subcutaneous fat tissue levels on lung cancer screening -- and thus better predict disease outcomes, according to a presentation delivered on 29 February at ECR 2024. AT density, HU, mean -90.5 All-cause death 7% ASCVD 1.8% Lung cancer death 1.6%

Electronic Medical Record 145

Electronic Medical Record Disease Patient Care Medical 145

AuntMinnie

DECEMBER 15, 2023

The finding could improve risk assessment among those at high risk of the disease, particularly heavy smokers, said presenter Fabian Pallasch, MD , of University Medical Center Freiburg in Germany. Studies suggest that body composition can help predict cancer and cardiovascular disease outcomes, the investigators noted.

Electronic Medical Record 100

Electronic Medical Record Disease Medical Clinic 100

AuntMinnie

JANUARY 6, 2025

While rates rose from near zero in early 2021 to nearly 70% in high- and very-high-risk patients by August 2023, however, rates of positive findings were low among patients with intermediate-risk disease, noted lead author Sean Miller, MD, of the Veterans Affairs Ann Arbor Healthcare System in Michigan.

Electronic Medical Record 299

Electronic Medical Record Imaging Nuclear Medicine Disease 299