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Artificial Intelligence in CardioThoracic Sciences (AICTS)

Faculty of Medicine / Department of Clinical Sciences, Lund / Section II / Thoracic Surgery

Phone: +46 46 222 90 08

Visiting address: Skånes universitetssjukhus, 22184 Lund

Postal address: 22184

Service point: 32

Artificial Intelligence in CardioThoracic Sciences (AICTS)'s profile in Lund University Research portal

Description

Artificial Intelligence in Cardiothoracic Science was funded 2006. Traditionally, medical decisions are based on the combined strength of clinical facts and the experience of the clinician. A growing understanding of the molecular, genetic and biochemical basis of diseases have greatly increased the degree of complexity in medical decision-making. To identify risk factors in medical registers, a non-linear method such as artificial neural network (ANN) may better describe the correlations between different health risk factors. A research area with this high degree of complexity; to identify, optimize and simulate outcomes is strongly dependent on scientific computing using large scalable high-speed computing systems.

Staff

A

  • Bodil Andersson

    Research project participant

    bodil [dot] andersson [at] med [dot] lu [dot] se

D

  • Louise Del Treppo

    Medical research assistant

    louise [dot] del_treppo [at] med [dot] lu [dot] se

H

  • Lisa Hasselberg

    Medical research assistant

    lisa [dot] hasselberg [at] med [dot] lu [dot] se

  • Ida Hedberg

    Medical research assistant

    ida [dot] hedberg [at] med [dot] lu [dot] se

J

  • Victoria Jernryd

    Research project participant

    victoria [dot] jernryd [at] med [dot] lu [dot] se

L

  • Bodil Lindkvist

    Medical research assistant

    bodil [dot] lindkvist [at] med [dot] lu [dot] se

N

  • Pierre Nugues

    Research project participant

    pierre [dot] nugues [at] cs [dot] lth [dot] se

W

  • Jenny Warheim

    Medical research assistant

    jenny [dot] warheim [at] med [dot] lu [dot] se