Daniel J. Kats

ORCID: 0000-0001-7591-6222
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About
Contact & Profiles
Research Areas
  • Global Cancer Incidence and Screening
  • Smoking Behavior and Cessation
  • Healthcare cost, quality, practices
  • COVID-19 diagnosis using AI
  • Adolescent and Pediatric Healthcare
  • Economic and Financial Impacts of Cancer
  • Lung Cancer Treatments and Mutations
  • Down syndrome and intellectual disability research
  • Congenital Heart Disease Studies
  • Lung Cancer Diagnosis and Treatment
  • Artificial Intelligence in Healthcare and Education
  • Health Systems, Economic Evaluations, Quality of Life
  • Genetics and Neurodevelopmental Disorders
  • Anatomy and Medical Technology
  • Child and Adolescent Health
  • CAR-T cell therapy research
  • Virus-based gene therapy research
  • Renal and related cancers
  • Global Healthcare and Medical Tourism
  • Delphi Technique in Research
  • Congenital heart defects research
  • Urban Transport and Accessibility
  • Biochemical and Molecular Research
  • Infant Development and Preterm Care
  • Palliative Care and End-of-Life Issues

Massachusetts General Hospital
2020-2024

Boston University
2024

Boston Children's Hospital
2024

Boston Children's Museum
2024

Case Western Reserve University
2018-2023

Harvard University
2023

University School
2020

MetroHealth
2020

MetroHealth Medical Center
2018

Pennsylvania State University
2018

Background The public launch of OpenAI’s ChatGPT platform generated immediate interest in the use large language models (LLMs). Health care institutions are now grappling with establishing policies and guidelines for these technologies, yet little is known about how health providers view LLMs medical settings. Moreover, there no studies assessing pediatric adopting readily accessible tools. Objective aim this study was to determine currently using their work as well a Insurance Portability...

10.2196/56797 article EN cc-by JMIR Formative Research 2024-07-14

For the last two years a team of researchers have been testing feasibility supplementing Kenyan rural health care supply chains using localized, plastic filament, low cost, FDM 3D printing. In this paper, we explore which parts are most likely candidates for such manufacturing. A 2014 study facilities showed that they carried, on average, only 77% equipment World Health Organization lists as necessary. However, number drops even lower to 60% when examining dispensaries (the designated first...

10.1109/ghtc.2018.8601529 article EN 2018-10-01

Abstract Background Down syndrome is the most common liveborn genetic condition. However, there are no surveys measuring societal services and supports for people with syndrome. We developed a questionnaire so that initiatives could be targeted towards countries in need of assistance. Method formed geographically diverse group physicians, family members syndrome, not‐for‐profit organisations to create survey supports. used modified Delphi method disseminated non‐profit worldwide. Results Our...

10.1111/jar.13071 article EN Journal of Applied Research in Intellectual Disabilities 2023-01-19

Abstract Introduction There is mounting interest in the use of risk prediction models to guide lung cancer screening. Electronic health records (EHRs) could facilitate such an approach, but smoking exposure documentation notoriously inaccurate. While negative impact inaccurate EHR data on screening practices reliant dichotomized age and exposure-based criteria has been demonstrated, less known regarding its performance model–based Aims Methods Data were collected from a cohort 37 422...

10.1093/ntr/ntaa192 article EN Nicotine & Tobacco Research 2020-09-22

<sec> <title>BACKGROUND</title> The public launch of OpenAI’s ChatGPT platform generated immediate interest in the use large language models (LLMs). Health care institutions are now grappling with establishing policies and guidelines for these technologies, yet little is known about how health providers view LLMs medical settings. Moreover, there no studies assessing pediatric adopting readily accessible tools. </sec> <title>OBJECTIVE</title> aim this study was to determine currently using...

10.2196/preprints.56797 preprint EN 2024-01-28

Epileptic spasms are the most common type of seizure in infants with Down syndrome; however, scope current literature is largely limited to treatment options. We performed a chart review patients seen at syndrome specialty clinic identify potential developmental sequelae and epileptic spasms. further interviewed parents children areas for improvement counseling, diagnosis, follow-up. Persistent delays autism spectrum disorder were highly prevalent our patients. Caregivers attributed...

10.1177/0883073820932770 article EN Journal of Child Neurology 2020-06-25
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