AIMC Topic: Artificial Intelligence

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Image captioning in Bengali language using visual attention.

PloS one
Automatically generating image captions poses one of the most challenging applications within artificial intelligence due to its integration of computer vision and natural language processing algorithms. This task becomes notably more formidable when...

AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development.

Journal of advanced research
BACKGROUND: Due to the recent revolution of artificial intelligence (AI), AI-enabled large language models (LLMs) have flourished and started to be applied in various sectors of science and medicine. Drug discovery and development are time-consuming,...

Objectifying aesthetic outcomes following face transplantation - the AI research metrics model (CAARISMA® ARMM).

Journal of stomatology, oral and maxillofacial surgery
BACKGROUND: Face transplantation (FT) offers a reconstructive option for patients with severe facial disfigurements by restoring both function and appearance. Aesthetic outcomes, which are crucial to psychological well-being and social reintegration,...

Generative AI-Derived Information About Opioid Use Disorder Treatment During Pregnancy: An Exploratory Evaluation of GPT-4's Steerability for Provision of Trustworthy Person-Centered Information.

Journal of studies on alcohol and drugs
OBJECTIVE: Increasing engagement in evidence-based treatment for opioid use disorder during pregnancy is pressing. Generative artificial intelligence large language model conversational agents may support clinicians in delivering safe, accurate, and ...

Foundations of AI for future physicians: A practical, accessible curriculum.

Medical teacher
WHAT WAS THE EDUCATIONAL CHALLENGE?: The integration of machine learning (ML) and large language models (LLMs) into healthcare is transforming diagnostics, patient care, and administrative workflows. However, most clinicians lack the foundational kno...

Assessing ChatGPT Responses to Frequently Asked Patient Questions in Reconstructive Urology.

Urology practice
INTRODUCTION: Artificial intelligence (such as Chat Generative Pretrained Transformer [ChatGPT]) augments patient education on medical topics, including reconstructive surgery. In this study, we assess the information, misinformation, and readability...

Artificial intelligence (AI) in pharmacovigilance: A systematic review on predicting adverse drug reactions (ADR) in hospitalized patients.

Research in social & administrative pharmacy : RSAP
INTRODUCTION: Adverse drug reactions (ADRs) significantly impact healthcare systems, leading to increased hospitalization rates and costs. With the growing adoption of artificial intelligence (AI) in healthcare, machine learning (ML) models offer pro...

Vertical federated learning based on data subset representation for healthcare application.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Artificial intelligence is increasingly essential for disease classification and clinical diagnosis tasks in healthcare. Given the strict privacy needs of healthcare data, Vertical Federated Learning (VFL) has been introduce...

Monitoring Immunohistochemical Staining Variations Using Artificial Intelligence on Standardized Controls.

Laboratory investigation; a journal of technical methods and pathology
Quality control of immunohistochemistry (IHC) slides is crucial to ascertain accurate patient management. Visual assessment is the most commonly used method to assess the quality of IHC slides from patient samples in daily pathology routines. Control...

A Review of ChatGPT as a Reliable Source of Scientific Information Regarding Endodontic Local Anesthesia.

Journal of endodontics
INTRODUCTION: ChatGPT is an artificial intelligence chatbot, developed by OpenAI, which uses Deep Learning technology for information processing. The chatbot uses natural language processing and machine learning algorithms to respond to users' questi...