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Record W4404478327 · doi:10.1055/s-0044-1795091

Ibrahim Salti, MD, PhD (1941–2024), an Endocrinology Pioneer and Beloved Mentor

2024· article· en· W4404478327 on OpenAlexaboutno aff
Hussein Saadi

Bibliographic record

VenueJournal of Diabetes and Endocrine Practice · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhilosophy

Abstract

fetched live from OpenAlex

Ibrahim Salti, MD, PhD Ibrahim Salti, Professor of Medicine at the American University of Beirut (AUB), passed away at the age of 83 years, leaving behind a legacy that has profoundly shaped the field of endocrinology in the Middle East and beyond. A distinguished physician and scholar, Dr. Salti was a beacon of inspiration and mentorship, who touched the lives of so many people especially those of us in the field of endocrinology. Born in Jerusalem, Palestine, Dr. Salti's journey in medicine began at AUB, where he earned his medical degree with distinction at the age of 22 years. His pursuit of excellence led him to the University of Toronto, where he completed his fellowship in endocrinology and obtained a PhD in Biochemistry in 1970. This marked the beginning of an illustrious career that would span over five decades. Returning to his alma mater, Dr. Salti joined AUB's Department of Internal Medicine as an assistant professor in 1970. His expertise and dedication saw him rise through the ranks, achieving full professorship by 1981. For 24 consecutive years, he led the Division of Endocrinology and Metabolism at AUB, establishing the region's first clinical endocrinology fellowship program. Under his guidance, this program grew to achieve international recognition and set the standard for endocrinology education in the Middle East. Dr. Salti's contributions extended far beyond the walls of AUB. In 1999, he founded the Pan Arab Congress of Endocrinology and Diabetes, fostering collaboration and knowledge exchange among endocrinologists across the Arab world. His lifetime impactful work in diabetes care and education earned him the Novo-Nordisk Achievement Award in Diabetes in 2002. His excellence was also recognized with numerous prestigious honors, including the Lebanese National Medal of Merit, the Jordanian Medal of Honor, and the American Association of Clinical Endocrinologists' International Clinician Award. Perhaps most importantly, he was a well-respected physician to his patients and a brilliant teacher of both medical students and postgraduate residents and fellows. Dr. Salti's teaching style was characterized by its simplicity and effectiveness. He created an environment that encouraged critical thinking, self-reflection, and independent inquiry. His ability to stimulate intellectual curiosity and foster a love for learning left an indelible mark on generations of physicians. His impact was evident at international endocrinology meetings, where he was often surrounded by grateful mentees and colleagues, and the meeting would not be concluded without having a dinner gathering to celebrate his presence and company. Dr. Salti's commitment to education extended beyond formal settings; he regularly shared insights from international conferences with those unable to attend, ensuring the dissemination of the latest developments in endocrinology. Dr. Salti's clinical acumen was legendary. Colleagues recall his ability to diagnose rare disorders with remarkable accuracy, providing invaluable learning opportunities for residents and fellows. I remember the day in 1987 when I was the internal medicine resident on call for admissions to the medical ward when I received a phone call from him to admit a 17-year-old adolescent girl for investigation of primary amenorrhea and hypertension. He knew that I was heading to Cleveland Ohio for further training in endocrinology (a career that he helped me get into) and said that he believed the girl had 17α-hydroxyprogesterone deficiency, a rare disorder that I will probably not see even in Cleveland, Ohio. And he was correct on both counts. She was indeed diagnosed with that disorder, and I did not encounter any such case in my career (until lately when I encountered four sisters with this disorder). His dedication to patient care and his keen diagnostic skills made him a respected figure among patients and peers alike. While his professional achievements were numerous, Dr. Salti's greatest passions were AUB, Palestine, his family, patients, and mentees. In April 2024, at the ceremony celebrating Dr. Salti's over 50 years of outstanding service, AUB President Dr. Fadlo Khuri eloquently summed up Dr. Salti's impact: “He has given our institution every fiber of his devotion, remarkable intellect, humanism, dedication, and humility.” Dr. Salti's personal life revolved around his wife, Dr. Nuha Nuwayri Salti, a prominent professor of histology, their children, Racha, Nisrine, and Dr. Haytham (an ophthalmologist currently working at Cleveland Clinic Abu Dhabi, UAE), and his grandchildren. Dr. Ibrahim Salti's passing leaves a void in the world of endocrinology, but his legacy lives on through the countless lives he touched, the programs he established, and the knowledge he imparted. He will be deeply missed and fondly remembered by colleagues, students, patients, and family alike. Hussein Saadi, MD, FACP Publication History Article published online: 18 November 2024 © 2024. Gulf Association of Endocrinology and Diabetes (GAED). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/) Thieme Medical and Scientific Publishers Pvt. Ltd. A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0100.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.282
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
Admission routes1
Has abstractyes

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