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

AUGUST 23, 2024

21, 2024 — NANO-X IMAGING LTD recently announced that its deep-learning medical imaging analytics subsidiary, Nanox.AI, received 510(k) clearance from the U.S. tim.hodson Fri, 08/23/2024 - 08:00 Aug. Food and Drug Administration (FDA) for HealthCCSng V2.0. HealthCCSng V2.0 HealthCCSng V2.0

Picture Archiving and Communication System 52

Picture Archiving and Communication System Electronic Medical Record Imaging PACS 52

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

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. CT in Room S100a. CT in Room S100bc.

Clinic 111

Clinic Electronic Medical Record Radiation Radiation Oncology 111

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

” This occurs when patients with specific findings in their medical records are inadvertently lost to follow-up, leading to potential lapses in necessary care. Operational Improvements Enhanced Workflow Efficiency: Automates the detection and categorization of new patients, freeing up medical staff to focus on care delivery.

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

Aidoc

APRIL 21, 2024

Over 700 devices are categorized as “artificial intelligence and machine learning enabled medical devices” on the FDA website. Healthcare examples : Chatbots for billing and scheduling or filtering and organizing data within a medical device, such as an MRI or CT scanner.

Healthcare 52

Healthcare Healthcare Picture Archiving and Communication System Quality and Compliance 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

Imaging Technology

NOVEMBER 22, 2023

a medical student at Boston University School of Medicine and researcher at the Cardiovascular Imaging Research Center (CIRC) at Massachusetts General Hospital (MGH) and Harvard Medical School in Boston. Deep learning is an advanced type of AI that can be trained to search X-ray images to find patterns associated with disease.

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