David Restrepo

Video Game Journalist at BagoGames

Freelance Journalist at Freelance

Video Game Journalist at GameSkinny

Founder @PassionForGame1. Video Game Journalist/Writer @GameSkinny @Gamepur @JumpCut_PLAY @TechRaptor @BagoGames @Game_Revolution @TheDigitalFix @GI_Tweets

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Articles

MARKED SUPERIORITY OF EUS-GUIDED FINE NEEDLE ASPIRATION/BIOPSY COMPARED TO ERCP- BASED CYTOLOGY BRUSH AND MINI-FORCEPS BIOPSY TO IDENTIFY MALIGNANCY IN BILIARY STRICTURES

1 month ago | giejournal.org | David Restrepo |Akram Ahmad |Zaid Ahmad Ansari |Tilak shah |Tasneem Jamal Al-Din

Diagnostic yield for the sampling of biliary stricture with or without associated mass
ENHANCING OUTCOMES IN POST-SURGICAL ANASTOMOTIC LEAKS: COMPARATIVE ANAYLISIS OF COVERED STENT ALONE VERSUS COMBINED COVERED STENT AND NASOENTERAL TUBE IN ESOPAHGOGASTRIC CANCER MANAGEMENT

1 month ago | giejournal.org | David Restrepo |Rodrigo Morales Castaño |Ricardo F. Jaramillo |Luis Palacios |Mauricio Rodriguez |Fernando Pereira | +7 more

Also available on ScienceDirect
[2503.17339] Can AI expose tax loopholes? Towards a new generation of legal policy assistants

2 months ago | arxiv.org | David Restrepo
A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction - Scientific Data

Feb 21, 2025 | nature.com | David Restrepo |Luis Filipe Nakayama

AbstractThis paper introduces mBRSET, the first publicly available diabetic retinopathy retina dataset captured using handheld retinal cameras in real-life, high-burden scenarios, comprising 5,164 images from 1,291 patients of diverse backgrounds. This dataset addresses the lack of ophthalmological data in low- and middle-income countries (LMICs) by providing a cost-effective and accessible solution for ocular screening and management.
The TRIPOD-LLM reporting guideline for studies using large language models - Nature Medicine

Jan 8, 2025 | nature.com | Jack Gallifant |Saleem Ameen |Yindalon Aphinyanaphongs |Shan Chen |Giovanni E. Cacciamani |Roxana Daneshjou | +7 more

AbstractLarge language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.
[2407.11188] Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Jul 15, 2024 | arxiv.org | David Restrepo |Zhongming Liu |Liyue Shen |Zitao Shuai
mBRSET: A Portable Retina Fundus Photos Benchmark Dataset for Clinical and Demographic Prediction

Jul 12, 2024 | medrxiv.org | Chenwei Wu |David Restrepo |Luis Filipe Nakayama |Lucas Ribeiro

The authors have declared no competing interest. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos

Jul 11, 2024 | journals.plos.org | Luis Filipe Nakayama |Sao Paulo Federal |David Restrepo

Loading metrics Open Access Peer-reviewedResearch Article Citation: Nakayama LF, Restrepo D, Matos J, Ribeiro LZ, Malerbi FK, Celi LA, et al. (2024) BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos. PLOS Digit Health 3(7): e0000454.
Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective

Jun 19, 2024 | medrxiv.org | David Restrepo |Chenwei Wu |Constanza Vásquez-Venegas |Jack Gallifant

The authors have declared no competing interest. No funding was received for conducting this studyI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
A multimodal framework for extraction and fusion of satellite images and public health data - Scientific Data

Jun 14, 2024 | nature.com | David Restrepo |Sebastian Cajas |Dana Moukheiber

AbstractIn low- and middle-income countries, the substantial costs associated with traditional data collection pose an obstacle to facilitating decision-making in the field of public health. Satellite imagery offers a potential solution, but the image extraction and analysis can be costly and requires specialized expertise. We introduce SatelliteBench, a scalable framework for satellite image extraction and vector embeddings generation.

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