Publications by authors named "J Salama"

Objectives: Surgery is the standard of care for early-stage non-small cell lung cancer (NSCLC), with SBRT reserved for patients who are not surgical candidates. We hypothesized overall survival (OS), lung cancer-specific survival (LCSS), progression free survival (PFS), and recurrence rates following SBRT or surgery in medically operable patients with Stage I NSCLC from the Veterans' Health Care System (VAHS) would be equivalent.

Materials And Methods: Medically operable patients diagnosed with Stage I NSCLC between 2000-2020 from the VAHS, determined by an FEV1 or DLCO > 60 % of predicted and Charlson comorbidity index (CCI) of 0 or 1, treated with SBRT or surgery were identified.

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The United States Veterans Affairs (VA) Health Care System has a strong history of conducting impactful oncology randomized clinical trials (RCTs). We developed a phase II/III RCT to test the use of metastasis-directed therapy in Veterans with oligometastatic prostate cancer (OMPC)-the first VA RCT in OMPC that leverages novel imaging and advanced radiotherapy techniques. To accomplish this, we developed a clinical trial network to conduct the study.

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Article Synopsis
  • This study evaluates the effectiveness of ChatGPT, an AI program, in providing accurate information related to radiation oncology, including answering patient questions and summarizing significant clinical research.
  • The assessment revealed that ChatGPT often produced inaccurate or incomplete information, with only 39.7% of patient question responses deemed correct and comprehensive.
  • Despite the shortcomings, the study suggests that while ChatGPT is currently unreliable as a resource for patients and healthcare providers in radiation oncology, there may be potential for improvement in the future.
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Study Objectives: To develop a non-invasive and practical wearable method for long-term tracking of infants' sleep.

Methods: An infant wearable, NAPping PAnts (NAPPA), was constructed by combining a diaper cover and a movement sensor (triaxial accelerometer and gyroscope), allowing either real-time data streaming to mobile devices or offline feature computation stored in the sensor memory. A sleep state classifier (wake, N1/REM, N2/N3) was trained and tested for NAPPA recordings ( = 16649 epochs of 30 s), using hypnograms from co-registered polysomnography (PSG) as a training target in 33 infants (age 2 weeks to 18 months; Mean = 4).

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Patients with neurodevelopmental disorders (NDDs) encounter significant barriers to receiving quality health care, particularly for acute conditions such as non-ST segment elevation myocardial infarction (NSTEMI). This study addresses the critical gap in knowledge regarding in-hospital outcomes and the use of invasive therapies in this demographic. By analyzing data from the National Inpatient Sample database from 2011 to 2020 using the International Classification of Diseases, Ninth Edition (ICD-9) and Tenth Edition (ICD-10) codes, we identified patients with NSTEMI, both with and without NDDs, and compared baseline characteristics, in-hospital outcomes, and the application of invasive treatments.

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