Imaging Technology

APRIL 17, 2023

Natural Language Understanding for Value-based Care (VBC): Uncover Revenue and Disease Burdens” — with Kevin Agatstein and Dr. Lowenkron on Tuesday, April 18, from 12:30 – 1:00 p.m. (CT) CT) at the McCormick Center, South Building S104. In addition to better care, this generated $2.5M in net new revenue from improved coding.

Electronic Medical Record 98

Electronic Medical Record Healthcare Information Technology Clinic Disease 98

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

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.

Ultrasound 69

Ultrasound Electronic Medical Record Disease PACS 69

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’s AI analyzes imaging data to spot signs of aortic aneurysms.

Patient Care 59

Patient Care Electronic Medical Record Communication Clinic 59

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 Hall D1.

Clinic 111

Clinic Electronic Medical Record Radiation Radiation Oncology 111

Aidoc

APRIL 21, 2024

Computer vision (CV) : Another form of machine learning, it is the process by which a computer gains information and understanding from images and videos. In some advanced forms of CV, there are deep learning capabilities that can recognize, interpret and categorize images.

Healthcare 52

Healthcare Healthcare Picture Archiving and Communication System Quality and Compliance 52

Imaging Technology

NOVEMBER 22, 2023

milla1cf Wed, 11/22/2023 - 08:00 November 22, 2023 — Using a routine chest X-ray image, an artificial intelligence (AI) tool can identify non-smokers who are at high risk for lung cancer , according to a study being presented next week at the annual meeting of the Radiological Society of North America ( RSNA ). Walia, B.A. ,

Electronic Medical Record 105

Electronic Medical Record X-ray Disease Risk Management 105

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 128

Electronic Medical Record X-ray Disease Medical 128

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

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. for SAT vol and 3.1 for SAT density (adjusted for the same risk factors).

Electronic Medical Record 58

Electronic Medical Record Disease Patient Care Clinic 58

AuntMinnie

DECEMBER 15, 2023

Adding deep learning to CT imaging to assess changes in subcutaneous adipose tissue (SAT) over time could help predict outcomes among individuals vulnerable to lung cancer, according to research presented at the recent RSNA meeting. The team tracked SAT volume and density as measures of the SAT quality in each patient.

Electronic Medical Record 40

Electronic Medical Record Disease Medical Clinic 40