Veysel KocamaninJohn Snow LabsDecoding Complexity: Leveraging Multimodal Data through Decision Support Systems in HealthcareNavigating the Complex Data Landscape of HealthcareMay 27May 27
Veysel KocamaninJohn Snow LabsBeyond OpenAI in Commercial LLM LandscapeExploring the Innovators and Challengers in the Commercial LLM Landscape beyond OpenAI: Anthropic, Cohere, Mosaic ML, Cerebras, Aleph…Jul 21, 2023Jul 21, 2023
Veysel KocamaninJohn Snow LabsChatGPT: A Paradigm Shift in Business Perception of AI and NLPAmidst the global clamour, the burning question on every business leader’s mind echoes loud and clear — ‘What is our ChatGPT play and how…May 4, 2023May 4, 2023
Veysel KocamaninJohn Snow LabsCan We Trust ChatGPT and LLMs in Information Retrieval Tasks ?LLMs are great productivity tool. They don’t lie, and they don’t tell the truth either. They create plausible sentence continuations, some…Apr 21, 20231Apr 21, 20231
Veysel KocamaninJohn Snow LabsPerils of Using ChatGPT in Clinical SettingsThe potential consequences of “hallucinations” or inaccuracies generated by ChatGPT can be particularly severe in clinical settings.Apr 21, 2023Apr 21, 2023
Veysel KocamaninJohn Snow LabsLLMs taking on Medical Challenge ProblemsLarge language models (LLMs) have showcased impressive abilities in understanding and generating natural language across various fields…Apr 21, 2023Apr 21, 2023
Veysel KocamaninJohn Snow LabsA Comprehensive Comparison of ChatGPT and Spark NLP for Healthcare in De-Identification of…Spark NLP for Healthcare De-Identification module demonstrates superior performance with a 93% accuracy rate compared to ChatGPT’s 60%…Apr 18, 2023Apr 18, 2023
Veysel KocamaninJohn Snow LabsIn-Depth Comparison of Spark NLP for Healthcare and ChatGPT on Clinical Named Entity RecognitionSpark NLP for Healthcare NER models outperform ChatGPT by 10–45% on key medical concepts, resulting in half the errors compared to ChatGPT.Apr 18, 2023Apr 18, 2023
Veysel KocamaninJohn Snow LabsComparing Spark NLP for Healthcare and ChatGPT in Extracting ICD10-CM Codes from Clinical NotesIn assigning ICD10-CM codes, Spark NLP for Healthcare achieved a 76% success rate, while GPT-3.5 and GPT-4 had overall accuracies of 26%…Apr 16, 20233Apr 16, 20233
Veysel KocamaninJohn Snow LabsConnecting the Dots in Clinical NLP using Relation Extraction Models in Spark NLPRelation extraction is a process of identifying and extracting relationships between named entities in a text. In the clinical domain…Jan 18, 2023Jan 18, 2023
