AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Disease Management

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Applications of spatial transcriptomics and artificial intelligence to develop integrated management of pancreatic cancer.

Advances in cancer research
Cancer is a complex disease intrinsically associated with cellular processes and gene expression. With the development of techniques such as single-cell sequencing and sequential fluorescence in situ hybridization (seqFISH), it was possible to map th...

Advancing precision rheumatology: applications of machine learning for rheumatoid arthritis management.

Frontiers in immunology
Rheumatoid arthritis (RA) is an autoimmune disease causing progressive joint damage. Early diagnosis and treatment is critical, but remains challenging due to RA complexity and heterogeneity. Machine learning (ML) techniques may enhance RA management...

Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease.

The Canadian journal of cardiology
The rising prevalence of cardiovascular disease presents an escalating challenge for current health services, which are grappling with increasing demands. Innovative changes are imperative to sustain the delivery of high-quality patient care. Recent ...

Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
The integration of artificial intelligence (AI) with healthcare has opened new avenues for diagnosing, treating, and managing medical conditions with remarkable precision. Uveitis, a diverse group of rare eye conditions characterized by inflammation ...

Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.

Hypertension (Dallas, Tex. : 1979)
Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for...

The role of artificial intelligence in macular hole management: A scoping review.

Survey of ophthalmology
We focus on the utility of artificial intelligence (AI) in the management of macular hole (MH). We synthesize 25 studies, comprehensively reporting on each AI model's development strategy, validation, tasks, performance, strengths, and limitations. A...

AI in the clinical management of GA: A novel therapeutic universe requires novel tools.

Progress in retinal and eye research
Regulatory approval of the first two therapeutic substances for the management of geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is a major breakthrough following failure of numerous previous trials. However, in the absen...

Integrating large language models in care, research, and education in multiple sclerosis management.

Multiple sclerosis (Houndmills, Basingstoke, England)
Use of techniques derived from generative artificial intelligence (AI), specifically large language models (LLMs), offer a transformative potential on the management of multiple sclerosis (MS). Recent LLMs have exhibited remarkable skills in producin...