A5067973603- Venous Thromboembolism Diagnosis and Management
- BRCA gene mutations in cancer
- AI in cancer detection
- Breast Lesions and Carcinomas
- Diagnosis and Treatment of Venous Diseases
- Breast Cancer Treatment Studies
- Medical Imaging Techniques and Applications
- Peripheral Artery Disease Management
- Global Cancer Incidence and Screening
- Genetic factors in colorectal cancer
- Radiomics and Machine Learning in Medical Imaging
- Biomedical Text Mining and Ontologies
- Cancer Genomics and Diagnostics
- Atrial Fibrillation Management and Outcomes
- Lymphoma Diagnosis and Treatment
- Blood Coagulation and Thrombosis Mechanisms
- Cancer Risks and Factors
- Topic Modeling
- Artificial Intelligence in Healthcare and Education
- Lung Cancer Diagnosis and Treatment
- Cancer Diagnosis and Treatment
- Hematological disorders and diagnostics
- Diversity and Career in Medicine
- Anatomy and Medical Technology
- Dermatologic Treatments and Research
Beth Israel Deaconess Medical Center
2024
Hadassah Medical Center
2023
Massachusetts General Hospital
2014-2021
Harvard University
2021
University of Massachusetts Chan Medical School
2019-2020
MGH Institute of Health Professions
2016-2018
Boston University
2016-2018
Williams (United States)
2017
St. James's Hospital
2009
Skin Cancer Foundation
1995
Several breast cancer risk-assessment models exist. Few studies have evaluated predictive accuracy of multiple in large screening populations.We the performance BRCAPRO, Gail, Claus, Breast Cancer Surveillance Consortium (BCSC), and Tyrer-Cuzick predicting risk over 6 years among 35 921 women aged 40-84 who underwent mammography at Newton-Wellesley Hospital from 2007 to 2009. We assessed model discrimination using area under receiver operating characteristic curve (AUC) calibration by...
Laser skin resurfacing is a very promising new treatment for solar elastosis and acne scars. The Ultrapulse carbon dioxide (CO2) laser the SilkTouch flashscanner allow precise depth control char-free ablation. Earlier studies have been done mainly on Caucasian types I II, but little data were available pigmented skin.The purpose of this study to assess efficacy safety in III IV.Thirty Asian Hispanic patients treated facial rhytides All instructed use tretinoin cream 0.05%, hydroquinone 5%,...
Carbon dioxide laser skin resurfacing using either ultrapulsed lasers or scanning has evolved as an effective method of treating photodamaged skin.The purpose this paper is to describe appropriate pre- and posttreatment regimens ensure the optimum response therapy.We our experiences with 30 patients treated different regimens. Patients were evaluated by physicians regards their responses recovery from therapy. Some agreed biopsy cutaneous patch testing topically applied agents.Eighty percent...
Abstract The rapid drop in the cost of DNA sequencing led to availability multi‐gene panels, which test 25 or more cancer susceptibility genes for a low cost. Clinicians and genetic counselors need tool interpret results, understand risk various cancers, advise on management strategy. This is challenging as there are multiple studies regarding each gene, it not possible clinicians be aware all publications, nor appreciate relative accuracy importance each. Through an extensive literature...
3D histology tissue modeling is a useful analytical technique for understanding anatomy and disease at the cellular level. However, current accuracy of technology largely unknown, errors, misalignment missing information are common in reconstruction. We used micro-CT imaging to better understand these issues relationship between fresh its counterpart.We imaged formalin-fixed 2% Lugol-stained mouse brain, human uterus lung with micro-CT. then conducted image analyses on tissues before after...
Three-dimensional (3D) printing technologies are increasingly used to convert medical imaging studies into tangible (physical) models of individual patient anatomy, allowing physicians, scientists, and patients an unprecedented level interaction with data. To date, virtually all 3D-printable data sets created using traditional image thresholding, subsequent isosurface extraction, the generation .stl surface mesh file formats. These existing methods, however, highly prone segmentation...
Artificial intelligence (AI) and machine learning are central components of today's medical environment. The fairness AI, i.e. the ability AI to be free from bias, has repeatedly come into question. This study investigates diversity members academia whose scholarship poses questions about AI. articles that combine topics fairness, artificial intelligence, medicine were selected Pubmed, Google Scholar, Embase using keywords. Eligibility data extraction done manually cross-checked by another...
1 Abstract Purpose Extracting information from Electronic Medical Record is a time-consuming and expensive process when done manually. Rule-based machine learning techniques are two approaches to solving this problem. In study, we trained model on pathology reports extract pertinent tumor characteristics, which enabled us create large database of attribute searchable reports. This can be used identify cohorts patients with characteristics interest. Methods We collected total 91,505 breast...
Histopathology is the only accepted method to measure and stage breast tumor size. However, there a need find another size when pathological assessment not available. Micro-computed tomography. (micro-CT) has ability in three dimensions an intact lumpectomy specimen. In this study, we aimed determine accuracy of micro-CT primary specimens, as compared histopathology.Seventy-two women who underwent surgery at Massachusetts General Hospital Department Surgery from June 2011 September 2011,...
Background The impact of age on breast cancer risk model calculations at the population level has not been well documented. Methods Retrospective analysis formal assessment in 36 542 females ages 40-84 a single institution from 02/2007 to 12/2009. Five-year and lifetime risks were calculated using Gail, Tyrer-Cuzick version 6 (TC6), 7 (TC7), BRCAPRO, Claus models. Risk BRCA mutation was TC6, TC7, Myriad. Eligibility for testing assessed NCCN guidelines. Descriptive analyses performed trends...
ABSTRACT OBJECTIVE Artificial intelligence (AI) and machine learning are central components of today’s medical environment. The fairness AI, i.e. the ability AI to be free from bias, has repeatedly come into question. This study investigates diversity members academia whose scholarship poses questions about AI. METHODS articles that combine topics fairness, artificial intelligence, medicine were selected Pubmed, Google Scholar, Embase using keywords. Eligibility data extraction done manually...