AI_HealthCare – 1st International Symposium Artificial Intelligence in HealthCare

Artificial intelligence in healthcare is an all-encompassing term employed to describe the use of machine-learning, deep-learning and related developments, or artificial intelligence (AI), to imitate human cognition in the analysis, presentation, comprehension of complex medical, and diagnosis and health care data. Specifically with AI-ability to automate many aspects of health-related activities. 

AI provides prevention, diagnostic and prognostic. It makes patients’ life, doctors, and administers within the health system easier and cost-efficient.  It also offers invaluable tools for related stakeholders such as the Pharmaceutical & Biotech Industry, health insurance and related health monitoring technologies. 

AI application healthcare is relatively new; there are numerous unprecedented ethical issues related to its practice, such as privacy, automation of jobs, and representation biases.

It is one of the world’s highest-growth industries within the AI sector. AI is reinventing and reinvigorating 21st-century health care through a machine that enables predicting, comprehending, learning, and acting.

Papers’ theme are welcomed but are not limited to research in the following areas:

Artificial intelligence within Hospital System

  • Diagnosis processes
  • Treatment protocol development 
  • Support operational initiatives that increase cost saving
  •  Enhance patient satisfaction
  • satisfy their staffing and workforce needs
  • healthcare managers – improve business operations through increasing utilisation; decreasing patient boarding
  • reducing length of stay and optimising staffing levels

Artificial intelligence within Pharmaceutical & Biotech Industry

  • Data-Driven drug discovery
  • Digital Drug Discovery and Development
  • Small molecule drug design:  molecules identification, drug re-purposing, clinical test and trials and precision medicine, target identification, modulation of protein-protein interaction and many other use cases.
  • AI-powered collaborative platform
  • AI-enabled drug discovery platform and the development of treatment for rare genetic diseases
  • Map immune system with AI and single-cell analysis

Artificial intelligence impact on Health ethics

  • Automated Decisions – Ethical and Legal Issues.
  • Bias and inequality
  • AI-enabled Health Insurance

Artificial intelligence within Medical Devices

  • Analyse correlation between prevention or treatment techniques and patient outcomes 
  • AI in personalised medicine
  • AI in patient monitoring and care
  • Detecting retinopathy from Images of the eye fundus
  • Counting and recognising certain cell types from Images of histological sections
  • Diagnosis of heart infarctions, Alzheimer’s, cancer from Radiology images, e.g. CT, MRI
  • Detecting depression from Speech, movement patterns
  • Selection and dosage of medicines from Diagnoses, gene data
  • Diagnosis of heart diseases, degenerative brain diseases from ECG or EEG signals
  • Detecting epidemics from Internet searches
  • Disease prognoses from Laboratory values, environmental factors 
  • Time-of-death prognosis for intensive care patients from Vital signs, laboratory values and other data in the patient’s records
  • Detection, analysis and improvement of signals, e.g. weak and noisy signals
  • Extraction of structured data from unstructured text
  • Segmentation of tissues, e.g. for irradiation planning

Please check the submission procedures on the submission page.

General enquiries and submissions ro be addressed to the Conference Co-ordinator.

Symposium enquiries specific should be addressed to:

Wai Lok Woo (Prof.)
Professor of Machine Learning
Head of Artificial Intelligence and Digital Technology Research Cluster
wailok.woo (@)
Ebad Banissi (Prof.)
banisse (@)