Apollo Hospitals

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero et al.

2023 · 62 Zit.

Cyber-attacks are a permanent and substantial threat to health systems: Education must reflect that

Niki O’Brien, Saira Ghafur, Sivaramakrishnan Arvind et al.

2022 · 34 Zit.

Integrating artificial intelligence into orthopedics: Opportunities, challenges, and future directions

Raju Vaishya, Anupam Sibal, Sujoy Kar et al.

2025 · 9 Zit.

How Can We Show That Artificial Intelligence May Improve Our Assessment and Management of Lower Urinary Tract Dysfunctions?—ICI‐RS 2024

Enrico Finazzi Agrò, Eleonora Rosato, George Bou Kheir et al.

2024 · 6 Zit.

An Observational Study to Evaluate Readability and Reliability of AI-Generated Brochures for Emergency Medical Conditions

S Adithya, Shreyas Aggarwal, Janani Sridhar et al.

2024 · 6 Zit.

Decoding the Rejection Code: Understanding Why Articles Get Axed

Vishal V Bhende, T. Sharma, Mathangi Krishnakumar et al.

2024 · 5 Zit.

Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise

Ata Mohajer-Bastami, Sarah Moin, Suhaib Ahmad et al.

2025 · 3 Zit.

QLTI-20. DIGITAL SOLUTIONS TO IMPROVE DATA QUALITY IN NEUROONCOLOGY RESEARCH

Amit Ray, Arka Sanka, Kiran Prathapa et al.

2022 · 1 Zit.

HUMANE: Harmonious Understanding of Machine Learning Analytics Network—global consensus for research on artificial intelligence in medicine

Neha Deo, Faisal A. Nawaz, Clea du Toit et al.

2024 · 1 Zit.

How do the Available LLM Platforms Fare as On-the-Go Orthopaedic Referencing Source? A Comparative Analysis

Girinivasan Chellamuthu, Sathish Muthu, Siddeshwar Siddamanickam et al.

2025 · 1 Zit.

Artificial Intelligence and Early Detection of Diabetic-Hypertensive Emergencies in the Emergency Room

Utsav Anand Mani, Tanmoy Ghatak, Nayan Sriramula et al.

2025 · 0 Zit.

Development of a Bayesian Deep Learning algorithm using multicentre pre-anaesthesia assessment data to predict surgical duration, blood loss, and patient placement (the Pre-Anesthesia AI Tool)

Sujoy Kumar Kar, Saikat Sengupta, Bharath Potla et al.

2024 · 0 Zit.

Generative <scp>AI</scp> Implementation in Enterprises: Lessons From a Case Study of Enhanced <scp>IT</scp> Service Management

Ashish Jagdish Sharma, Bhawana Rathore, Baidyanath Biswas et al.

2026 · 0 Zit.

Comparative evaluation of five AI chatbots in pediatric ophthalmology: A multidomain expert-based appraisal”

Shweta Dhiman, Chitaranjan Mishra, Savleen Kaur et al.

2025 · 0 Zit.